This is a sample bibtex file for use on https://nanohub.org/erc-citations to generate ERC visualizations

Sample bibtex file

@Article{ref1,
author="Albert, Paul
and Holmes, Kristi
and Borner, Katy
and Conlon, Mike",
title="Research Discovery through Linked Open Data",
pages="429--430",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''New York, NY 10065, USA{\backslash}``,[[40.7645239,-73.96243270000001],[40.772715,-73.9499719],[40.7590679,-73.972855]]],[{\backslash}''St. Louis, MO 63110, USA{\backslash}``,[[38.6212468,-90.2526163],[38.6463509,-90.234218],[38.6049859,-90.3040719]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Gainesville, FL 32611, USA{\backslash}``,[[29.6516344,-82.32482619999999],[29.770553,-82.218976],[29.601988,-82.42051599999999]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined"
}

@Article{ref2,
author="Alencar, A. B.
and Borner, Katy
and Paulovich, F. V.
and De Oliveira, M. C. F.",
title="Time-aware visualization of document collections",
pages="997--1004",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''S\_o Carlos - State of S\_o Paulo, Brazil{\backslash}``,[[-22.0087086,-47.8909142],[-21.5969867,-47.7195937],[-22.1614874,-48.0909288]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''S\_o Carlos - State of S\_o Paulo, Brazil{\backslash}``,[[-22.0087086,-47.8909142],[-21.5969867,-47.7195937],[-22.1614874,-48.0909288]]],[{\backslash}''S\_o Carlos - State of S\_o Paulo, Brazil{\backslash}``,[[-22.0087086,-47.8909142],[-21.5969867,-47.7195937],[-22.1614874,-48.0909288]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined",
doi="10.1145/2245276.2245469",
url="http://www.scopus.com/inward/record.url?eid=2-s2.0-84863580202&partnerID=40&md5=78724855f5044b5127a8c91636fd5d8d"
}

@Article{Boerner2011,
author="Borner, Katy",
title="Plug-and-Play Macroscopes",
journal="Communications of the Acm",
year="2011",
volume="54",
number="3",
pages="60--69",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]]]\}''authorMeta:undefined.undefined",
issn="0001-0782",
doi="10.1145/1897852.1897871",
url="<Go to ISI>://WOS:000289938200025"
}

@Article{Bollen2016a,
author="Bollen, Johan
and Crandall, David
and Junk, Damion
and Ding, Ying
and Borner, Katy",
title="An efficient system to fund science: From proposal review to peer-to-peer distributions",
journal="Scientometrics",
year="2016",
pages="1",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined",
doi="10.?1007/?s11192-016-2110-3"
}

@Article{Bollen2014a,
author="Bollen, Johan
and Crandall, David
and Junk, Damion
and Ding, Ying
and Borner, Katy",
title="From funding agencies to scientific agency",
journal="Embo Reports",
year="2014",
volume="15",
number="2",
pages="131--133",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined",
issn="1469-221X",
doi="10.1002/embr.201338068",
url="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3989857/pdf/embr0015-0131.pdf"
}

@Article{Bollen2014b,
author="Bollen, Johan
and Crandall, David
and Junk, Damion
and Ding, Ying
and Borner, Katy",
title="Response: ?Why we still need grant peer review?",
journal="Embo Reports",
year="2014",
volume="15",
number="5",
pages="467--467",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined",
issn="1469-221X",
doi="10.1002/embr.201438792",
url="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4210098/pdf/embr0015-0467.pdf"
}

@Article{Bollen2016b,
author="Bollen, Johan
and Crandall, David
and Junk, Damion
and Ding, Ying
and Borner, Katy",
title="An efficient system to fund science: from proposal review to peer-to-peer distributions",
journal="Scientometrics",
year="2016",
pages="1--8",
abstract="This paper presents a novel model of science funding that exploits the wisdom of the scientific crowd. Each researcher receives an equal, unconditional part of all available science funding on a yearly basis, but is required to individually donate to other scientists a given fraction of all they receive. Science funding thus moves from one scientist to the next in such a way that scientists who receive many donations must also redistribute the most. As the funding circulates through the scientific community it is mathematically expected to converge on a funding distribution favored by the entire scientific community. This is achieved without any proposal submissions or reviews. The model furthermore funds scientists instead of projects, reducing much of the overhead and bias of the present grant peer review system. Model validation using large-scale citation data and funding records over the past 20{\backslash}{\backslash}{\backslash}{\backslash}{\backslash}{\backslash}{\backslash}{\backslash}{\backslash}{\backslash}{\backslash}{\backslash}??years show that the proposed model could yield funding distributions that are similar to those of the NSF and NIH, and the model could potentially be more fair and more equitable. We discuss possible extensions of this approach as well as science policy implications.",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined",
issn="1588-2861",
doi="10.1007/s11192-016-2110-3",
url="http://dx.doi.org/10.1007/s11192-016-2110-3"
}

@Article{Borner2012a,
author="Borner, Katy",
title="Visual Strategies: A Practical Guide to Graphics for Scientists and Engineers",
journal="Nature",
year="2012",
volume="487",
number="7408",
pages="430--431",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]]]\}''authorMeta:undefined.undefined",
issn="0028-0836"
}

@Article{B??rner2012,
author="Borner, Katy",
title="Picturing Science",
journal="Nature",
year="2012",
volume="487",
pages="430--431",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]]]\}''authorMeta:undefined.undefined"
}

@Article{B??rner2015,
author="Borner, Katy
and Heimlich, Joe E.
and Balliet, Russell
and Maltese, Adam V.",
title="Investigating Aspects of Data Visualization Literacy Using 20 Information Visualizations and 273 Science Museum Visitors",
journal="Information Visualization",
year="2015",
pages="1--16",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Columbus, OH 43215, USA{\backslash}``,[[39.9602601,-83.0092803],[39.9913231,-82.8879159],[39.8510629,-83.06866099999999]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined"
}

@Article{B??rner2016a,
author="Borner, Katy",
title="Data-Driven Science Policy",
journal="Issues in Science and Technology",
year="2016",
volume="32",
number="3",
pages="26--28",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]]]\}''authorMeta:undefined.undefined"
}

@Article{B??rner2016b,
author="Borner, Katy
and Edmonds, Bruce
and Milojevic, Stasa
and Scharnhorst, Andrea",
title="Simulating the Processes of Science, Technology, and Innovation",
journal="Scientometrics",
year="2016",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Manchester, UK{\backslash}``,[[53.4807593,-2.2426305],[53.5445879,-2.1468288],[53.39990299999999,-2.3000969]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\"A}msterdam, Netherlands{\backslash}'',[[52.3702157,4.895167900000001],[52.4311573,5.0683903],[52.3182742,4.7288558]]]]\}``authorMeta:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined",
doi="DOI 10.1007/s11192-016-2103-2"
}

@Article{Borner2011,
author="Borner, Katy
and Glanzel, W.
and Scharnhorst, Andrea
and van den Besselaar, P.",
title="Modeling science: studying the structure and dynamics of science",
journal="Scientometrics",
year="2011",
volume="89",
number="1",
pages="347--348",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Leuven, Belgium{\backslash}``,[[50.8798438,4.7005176],[50.94403,4.770309999999999],[50.82418999999999,4.64055]]],[{\"A}msterdam, Netherlands{\backslash}'',[[52.3702157,4.895167900000001],[52.4311573,5.0683903],[52.3182742,4.7288558]]],[{\"A}msterdam, Netherlands{\backslash}``,[[52.3702157,4.895167900000001],[52.4311573,5.0683903],[52.3182742,4.7288558]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined",
issn="0138-9130",
doi="10.1007/s11192-011-0429-3"
}

@Article{Borner2012b,
author="Borner, Katy
and Klavans, R.
and Patek, M.
and Zoss, A. M.
and Biberstine, J. R.
and Light, Robert P.
and Lariviere, V.
and Boyack, K. W.",
title="Design and Update of a Classification System: The UCSD Map of Science",
journal="Plos One",
year="2012",
volume="7",
number="7",
keywords="TECHNOLOGY IMPACT",
abstract="Global maps of science can be used as a reference system to chart career trajectories, the location of emerging research frontiers, or the expertise profiles of institutes or nations. This paper details data preparation, analysis, and layout performed when designing and subsequently updating the UCSD map of science and classification system. The original classification and map use 7.2 million papers and their references from Elsevier?s Scopus (about 15,000 source titles, 2001-2005) and Thomson Reuters? Web of Science (WoS) Science, Social Science, Arts \& Humanities Citation Indexes (about 9,000 source titles, 2001-2004)-about 16,000 unique source titles. The updated map and classification adds six years (2005-2010) of WoS data and three years (2006-2008) from Scopus to the existing category structure-increasing the number of source titles to about 25,000. To our knowledge, this is the first time that a widely used map of science was updated. A comparison of the original 5-year and the new 10-year maps and classification system show (i) an increase in the total number of journals that can be mapped by 9,409 journals (social sciences had a 80\% increase, humanities a 119\% increase, medical (32\%) and natural science (74\%)), (ii) a simplification of the map by assigning all but five highly interdisciplinary journals to exactly one discipline, (iii) a more even distribution of journals over the 554 subdisciplines and 13 disciplines when calculating the coefficient of variation, and (iv) a better reflection of journal clusters when compared with paper-level citation data. When evaluating the map with a listing of desirable features for maps of science, the updated map is shown to have higher mapping accuracy, easier understandability as fewer journals are multiply classified, and higher usability for the generation of data overlays, among others.",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Berwyn, PA 19312, USA{\backslash}``,[[40.045824,-75.4395931],[40.049017,-75.4192269],[40.0303671,-75.474625]]],[{\backslash}''Berwyn, PA 19312, USA{\backslash}``,[[40.045824,-75.4395931],[40.049017,-75.4192269],[40.0303671,-75.474625]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Montreal, QC, Canada{\backslash}``,[[45.5016889,-73.567256],[45.7058381,-73.47426],[45.410246,-73.986345]]],[{\"A}lbuquerque, NM 87101, USA{\backslash}'',[[35.0853336,-106.6055534],[35.2180539,-106.4711629],[34.9467659,-106.881796]]]]\}``authorMeta:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined",
issn="1932-6203",
doi="10.1371/journal.pone.0039464"
}

@Article{Boyack2011,
author="Boyack, K. W.
and Newman, D.
and Duhon, R. J.
and Klavans, R.
and Patek, M.
and Biberstine, J. R.
and Schijvenaars, B.
and Skupin, A.
and Ma, N. A. L.
and Borner, Katy",
title="Clustering More than Two Million Biomedical Publications: Comparing the Accuracies of Nine Text-Based Similarity Approaches",
journal="Plos One",
year="2011",
volume="6",
number="3",
keywords="LATENT SEMANTIC ANALYSIS INFORMATION-RETRIEVAL SCIENCE SEARCH DECOMPOSITION MODELS GRAPH",
abstract="Background: We investigate the accuracy of different similarity approaches for clustering over two million biomedical documents. Clustering large sets of text documents is important for a variety of information needs and applications such as collection management and navigation, summary and analysis. The few comparisons of clustering results from different similarity approaches have focused on small literature sets and have given conflicting results. Our study was designed to seek a robust answer to the question of which similarity approach would generate the most coherent clusters of a biomedical literature set of over two million documents. Methodology: We used a corpus of 2.15 million recent (2004-2008) records from MEDLINE, and generated nine different document-document similarity matrices from information extracted from their bibliographic records, including titles, abstracts and subject headings. The nine approaches were comprised of five different analytical techniques with two data sources. The five analytical techniques are cosine similarity using term frequency-inverse document frequency vectors (tf-idf cosine), latent semantic analysis (LSA), topic modeling, and two Poisson-based language models - BM25 and PMRA (PubMed Related Articles). The two data sources were a) MeSH subject headings, and b) words from titles and abstracts. Each similarity matrix was filtered to keep the top-n highest similarities per document and then clustered using a combination of graph layout and average-link clustering. Cluster results from the nine similarity approaches were compared using (1) within-cluster textual coherence based on the Jensen-Shannon divergence, and (2) two concentration measures based on grant-to-article linkages indexed in MEDLINE. Conclusions: PubMed?s own related article approach (PMRA) generated the most coherent and most concentrated cluster solution of the nine text-based similarity approaches tested, followed closely by the BM25 approach using titles and abstracts. Approaches using only MeSH subject headings were not competitive with those based on titles and abstracts.",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\"A}lbuquerque, NM 87101, USA{\backslash}'',[[35.0853336,-106.6055534],[35.2180539,-106.4711629],[34.9467659,-106.881796]]],[{\"A}rvine, CA 92602, USA{\backslash}``,[[33.6845673,-117.8265049],[33.7736521,-117.6780258],[33.5993914,-117.8687519]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Berwyn, PA 19312, USA{\backslash}``,[[40.045824,-75.4395931],[40.049017,-75.4192269],[40.0303671,-75.474625]]],[{\backslash}''Berwyn, PA 19312, USA{\backslash}``,[[40.045824,-75.4395931],[40.049017,-75.4192269],[40.0303671,-75.474625]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Geldermalsen, Netherlands{\backslash}``,[[51.884365,5.2293588],[51.9355382,5.339583699999999],[51.8471597,5.1138654]]],[{\backslash}''San Diego, CA 92182, USA{\backslash}``,[[32.7759882,-117.072053],[32.7790934,-117.0621444],[32.7701644,-117.0809228]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined",
issn="1932-6203",
doi="10.1371/journal.pone.0018029"
}

@Article{Carpenter2016,
author="Carpenter, Janet S.
and Laine, Tei
and Harrison, Blake
and LePage, Meghan
and Hoteling, Nathan
and Borner, Katy",
title="Topical, Geospatial, and Temporal Diffusion of the 2015 North American Menopause Society Position Statement on Non-hormonal Management of Vasomotor Symptoms",
journal="Menopause",
year="2016",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\"A}ndianapolis, IN 46202, USA{\backslash}'',[[39.7794767,-86.1700894],[39.8009179,-86.1317759],[39.76040589999999,-86.2004299]]],[{\backslash}``Bloomington, IN 47405, USA{\backslash}'',[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}``Columbus, OH 43210, USA{\backslash}'',[[39.9990626,-83.01733860000002],[40.018325,-83.0071128],[39.990686,-83.040826]]],[{\"A}ttawa, ON, Canada{\backslash}``,[[45.4215296,-75.69719309999999],[45.5375801,-75.2465979],[44.962733,-76.3539158]]],[{\backslash}''Bethesda, MD, USA{\backslash}``,[[38.984652,-77.0947092],[39.0226339,-77.0785925],[38.940586,-77.1585612]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined"
}

@Article{Chen2013,
author="Chen, Y. W.
and Borner, Katy
and Fang, S.",
title="Evolving collaboration networks in Scientometrics in 1978-2010: a micro-macro analysis",
journal="Scientometrics",
year="2013",
volume="95",
number="3",
pages="1051--1070",
keywords="Scientometrics Evolving network Co-author Micro-marco analysis",
abstract="This paper reports first results on the interplay of different levels of the science system. Specifically, we would like to understand if and how collaborations at the author (micro) level impact collaboration patterns among institutions (meso) and countries (macro). All 2,541 papers (articles, proceedings papers, and reviews) published in the international journal Scientometrics from 1978-2010 are analyzed and visualized across the different levels and the evolving collaboration networks are animated over time. Studying the three levels in isolation we gain a number of insights: (1) USA, Belgium, and England dominated the publications in Scientometrics throughout the 33-year period, while the Netherlands and Spain were the subdominant countries; (2) the number of institutions and authors increased over time, yet the average number of papers per institution grew slowly and the average number of papers per author decreased in recent years; (3) a few key institutions, including Univ Sussex, KHBO, Katholieke Univ Leuven, Hungarian Acad Sci, and Leiden Univ, have a high centrality and betweenness, acting as gatekeepers in the collaboration network; (4) early key authors (Lancaster FW, Braun T, Courtial JP, Narin F, or VanRaan AFJ) have been replaced by current prolific authors (such as Rousseau R or Moed HF). Comparing results across the three levels reveals that results from one level might propagate to the next level, e.g., top rankings of a few key single authors can not only have a major impact on the ranking of their institution but also lead to a dominance of their country at the country level; movement of prolific authors among institutions can lead to major structural changes in the institution networks. To our knowledge, this is the most comprehensive and the only multi-level study of Scientometrics conducted to date.",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Chengdu, Sichuan, China{\backslash}``,[[30.572816,104.066801],[31.4353347,104.8927951],[30.0942976,102.9928859]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Chengdu, Sichuan, China{\backslash}``,[[30.572816,104.066801],[31.4353347,104.8927951],[30.0942976,102.9928859]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined",
issn="0138-9130",
doi="10.1007/s11192-012-0895-2",
url="http://download.springer.com/static/pdf/789/art%253A10.1007%252Fs11192-012-0895-2.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Farticle%2F10.1007%2Fs11192-012-0895-2&token2=exp=1456852755~acl=%2Fstatic%2Fpdf%2F789%2Fart%25253A10.1007%25252Fs11192-012-0895-2.pdf%3ForiginUrl%3Dhttp%253A%252F%252Flink.springer.com%252Farticle%252F10.1007%252Fs11192-012-0895-2*~hmac=7cbb789fd6a9fe3fd4b850711d25fa5b38a5c3413ab9a2fc0b0f9807d3d42f1b"
}

@Article{Emmons2016a,
author="Emmons, Scott
and Light, Robert P.
and Borner, Katy",
title="MOOC Visual Analytics: Empowering Teachers, Students, Researchers, and Developers of Massively Open Online Courses",
journal="Journal Of The American Society For Information Science And Technology",
year="2016",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined"
}

@Article{Emmons2016b,
author="Emmons, Scott
and Kobourov, Stephen
and Gallant, Michael
and Borner, Katy",
title="Analysis of Network Clustering Algorithms and Cluster Quality Metrics at Scale",
journal="PLoS ONE",
year="2016",
volume="11",
number="7",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Tucson, AZ 85721, USA{\backslash}``,[[32.2332841,-110.9488008],[32.243278,-110.9439609],[32.206903,-110.954997]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined",
doi="10.1371/journal.pone.0159161"
}

@Article{Goldstone2015,
author="Goldstone, R. L.
and Pestilli, F.
and Borner, Katy",
title="Self-portraits of the brain: cognitive science, data visualization, and communicating brain structure and function",
journal="Trends in Cognitive Sciences",
year="2015",
volume="19",
number="8",
pages="462--474",
keywords="visualization perception neuroscience neuroimaging expertise scientific understanding fusiform face area word form area visual-cortex geometric structure fiber pathways naive realism box plots top-down perception expertise Behavioral Sciences Neurosciences \& Neurology Psychology",
abstract="With several large-scale human brain projects currently underway and a range of neuroimaging techniques growing in availability to researchers, the amount and diversity of data relevant for understanding the human brain is increasing rapidly. A complete understanding of the brain must incorporate information about 3D neural location, activity, timing, and task. Data mining, high-performance computing, and visualization can serve as tools that augment human intellect; however, the resulting visualizations must take into account human abilities and limitations to be effective tools for exploration and communication. In this feature review, we discuss key challenges and Opportunities that arise when leveraging the sophisticated perceptual and conceptual processing of the human brain to help researchers understand brain structure, function, and behavior.",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Bloomington, IN, USA{\backslash}``,[[39.165325,-86.52638569999999],[39.22107,-86.4712941],[39.1213559,-86.592398]]],[{\backslash}''Bloomington, IN, USA{\backslash}``,[[39.165325,-86.52638569999999],[39.22107,-86.4712941],[39.1213559,-86.592398]]],[{\backslash}''Bloomington, IN, USA{\backslash}``,[[39.165325,-86.52638569999999],[39.22107,-86.4712941],[39.1213559,-86.592398]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined",
issn="1364-6613",
doi="10.1016/j.tics.2015.05.012",
url="<Go to ISI>://WOS:000359499400010"
}

@Article{Guo2011,
author="Guo, H. N.
and Weingart, S.
and Borner, Katy",
title="Mixed-indicators model for identifying emerging research areas",
journal="Scientometrics",
year="2011",
volume="89",
number="1",
pages="421--435",
keywords="Burst detection Prediction Emerging trend Temporal dynamics Science of science (Sci(2)) tool RELATIVE CITATION IMPACT PUBLICATION OUTPUT SCIENCE FIGURES FACTS COMMUNICATION TECHNOLOGY DISCOVERY EMERGENCE TRACKING",
abstract="This study presents a mixed model that combines different indicators to describe and predict key structural and dynamic features of emerging research areas. Three indicators are combined: sudden increases in the frequency of specific words; the number and speed by which new authors are attracted to an emerging research area, and changes in the interdisciplinarity of cited references. The mixed model is applied to four emerging research areas: RNAi, Nano, h-Index, and Impact Factor research using papers published in the Proceedings of the National Academy of Sciences of the United States of America (1982-2009) and in Scientometrics (1978-2009). Results are compared in terms of strengths and temporal dynamics. Results show that the indicators are indicative of emerging areas and they exhibit interesting temporal correlations: new authors enter the area first, then the interdisciplinarity of paper references increases, then word bursts occur. All workflows are reported in a manner that supports replication and extension by others.",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Dalian, Liaoning, China{\backslash}``,[[38.91400300000001,121.614682],[40.2051896,123.5189214],[38.7198326,120.9753017]]],[{\backslash}''Bloomington, IN, USA{\backslash}``,[[39.165325,-86.52638569999999],[39.22107,-86.4712941],[39.1213559,-86.592398]]],[{\backslash}''Bloomington, IN, USA{\backslash}``,[[39.165325,-86.52638569999999],[39.22107,-86.4712941],[39.1213559,-86.592398]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined",
issn="0138-9130",
doi="10.1007/s11192-011-0433-7"
}

@Article{Knepper2016,
author="Knepper, Rich
and Borner, Katy",
title="Comparing the Consumption of CPU Hours with Scientific Output for the Extreme Science and Engineering Discovery Environment (XSEDE)",
journal="PLoS ONE",
year="2016",
volume="11",
number="6",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]]]\}''authorMeta:undefined.undefined:undefined.undefined",
doi="10.1371/journal.pone.0157628"
}

@Article{Larivi??re2015,
author="Lariviere, V.
and Haustein, S.
and Borner, Katy",
title="Long-distance interdisciplinarity leads to higher scientific impact",
journal="PLoS ONE",
year="2015",
volume="10",
number="3",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Montreal, QC, Canada{\backslash}``,[[45.5016889,-73.567256],[45.7058381,-73.47426],[45.410246,-73.986345]]],[{\backslash}''Montreal, QC, Canada{\backslash}``,[[45.5016889,-73.567256],[45.7058381,-73.47426],[45.410246,-73.986345]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined",
doi="10.1371/journal.pone.0122565",
url="http://www.scopus.com/inward/record.url?eid=2-s2.0-84926309793&partnerID=40&md5=59542998e04ba99133ef676608eafc89"
}

@Article{ref24,
author="Light, Robert P.
and Kong, Chin Hua
and Borner, Katy",
title="An Automated System for Tracking the Growth of Expert Profiling Systems",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined"
}

@Article{Light2014,
author="Light, Robert P.
and Polley, David E.
and Borner, Katy",
title="Open data and open code for big science of science studies",
journal="Scientometrics",
year="2014",
volume="101",
number="2",
pages="1535--1551",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Bloomington, IN, USA{\backslash}``,[[39.165325,-86.52638569999999],[39.22107,-86.4712941],[39.1213559,-86.592398]]],[{\backslash}''Bloomington, IN, USA{\backslash}``,[[39.165325,-86.52638569999999],[39.22107,-86.4712941],[39.1213559,-86.592398]]],[{\backslash}''Bloomington, IN, USA{\backslash}``,[[39.165325,-86.52638569999999],[39.22107,-86.4712941],[39.1213559,-86.592398]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined",
issn="0138-9130",
doi="10.1007/s11192-014-1238-2",
url="<Go to ISI>://WOS:000343609900038"
}

@Article{ref26,
author="Murdock, Jaimie
and Light, Robert P.
and Allen, Colin
and Borner, Katy",
title="Mapping the Intersection of Science \& Philosophy",
publisher="ACM",
pages="405--406",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined"
}

@Article{Reijnhoudt2014,
author="Reijnhoudt, Linda
and Costas, Rodrigo
and Noyons, Ed
and Borner, Katy
and Scharnhorst, Andrea",
title="?Seed plus expand?: a general methodology for detecting publication oeuvres of individual researchers",
journal="Scientometrics",
year="2014",
volume="101",
number="2",
pages="1403--1417",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\"A}msterdam, Netherlands{\backslash}'',[[52.3702157,4.895167900000001],[52.4311573,5.0683903],[52.3182742,4.7288558]]],[{\backslash}``Leiden, Netherlands{\backslash}'',[[52.1601144,4.4970097],[52.1846511,4.5240515],[52.1188225,4.439287999999999]]],[{\backslash}``Leiden, Netherlands{\backslash}'',[[52.1601144,4.4970097],[52.1846511,4.5240515],[52.1188225,4.439287999999999]]],[{\backslash}``Bloomington, IN 47405, USA{\backslash}'',[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\"A}msterdam, Netherlands{\backslash}``,[[52.3702157,4.895167900000001],[52.4311573,5.0683903],[52.3182742,4.7288558]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined",
issn="0138-9130",
doi="10.1007/s11192-014-1256-0",
url="<Go to ISI>://WOS:000343609900030"
}

@Article{Saket2015,
author="Saket, Bahador
and Scheidegger, C.
and Kobourov, Stephen
and Borner, Katy",
title="Map-based Visualizations Increase Recall Accuracy of Data",
journal="Computer Graphics Forum",
year="2015",
volume="34",
number="3",
pages="441--450",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Tucson, AZ 85721, USA{\backslash}``,[[32.2332841,-110.9488008],[32.243278,-110.9439609],[32.206903,-110.954997]]],[{\backslash}''Tucson, AZ 85721, USA{\backslash}``,[[32.2332841,-110.9488008],[32.243278,-110.9439609],[32.206903,-110.954997]]],[{\backslash}''Tucson, AZ 85721, USA{\backslash}``,[[32.2332841,-110.9488008],[32.243278,-110.9439609],[32.206903,-110.954997]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined",
doi="10.1111/cgf.12656",
url="http://www.scopus.com/inward/record.url?eid=2-s2.0-84937958558&partnerID=40&md5=51da5de31c30b696107a1eaeda2499c6"
}

@Article{Saket2014,
author="Saket, Bahador
and Simonetto, Paolo
and Kobourov, Stephen
and Borner, Katy",
title="Node, Node-Link, and Node-Link-Group Diagrams: An Evaluation",
journal="Ieee Transactions on Visualization and Computer Graphics",
year="2014",
volume="20",
number="12",
pages="2231--2240",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Tucson, AZ 85721, USA{\backslash}``,[[32.2332841,-110.9488008],[32.243278,-110.9439609],[32.206903,-110.954997]]],[{\backslash}''Tucson, AZ 85721, USA{\backslash}``,[[32.2332841,-110.9488008],[32.243278,-110.9439609],[32.206903,-110.954997]]],[{\backslash}''Tucson, AZ 85721, USA{\backslash}``,[[32.2332841,-110.9488008],[32.243278,-110.9439609],[32.206903,-110.954997]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined",
issn="1077-2626",
doi="10.1109/tvcg.2014.2346422",
url="<Go to ISI>://WOS:000344991700068"
}

@Article{Skupin2013,
author="Skupin, A.
and Biberstine, J. R.
and Borner, Katy",
title="Visualizing the Topical Structure of the Medical Sciences: A Self-Organizing Map Approach",
journal="Plos One",
year="2013",
volume="8",
number="3",
abstract="Background: We implement a high-resolution visualization of the medical knowledge domain using the self-organizing map (SOM) method, based on a corpus of over two million publications. While self-organizing maps have been used for document visualization for some time, (1) little is known about how to deal with truly large document collections in conjunction with a large number of SOM neurons, (2) post-training geometric and semiotic transformations of the SOM tend to be limited, and (3) no user studies have been conducted with domain experts to validate the utility and readability of the resulting visualizations. Our study makes key contributions to all of these issues. Methodology: Documents extracted from Medline and Scopus are analyzed on the basis of indexer-assigned MeSH terms. Initial dimensionality is reduced to include only the top 10\% most frequent terms and the resulting document vectors are then used to train a large SOM consisting of over 75,000 neurons. The resulting two-dimensional model of the high-dimensional input space is then transformed into a large-format map by using geographic information system (GIS) techniques and cartographic design principles. This map is then annotated and evaluated by ten experts stemming from the biomedical and other domains. Conclusions: Study results demonstrate that it is possible to transform a very large document corpus into a map that is visually engaging and conceptually stimulating to subject experts from both inside and outside of the particular knowledge domain. The challenges of dealing with a truly large corpus come to the fore and require embracing parallelization and use of supercomputing resources to solve otherwise intractable computational tasks. Among the envisaged future efforts are the creation of a highly interactive interface and the elaboration of the notion of this map of medicine acting as a base map, onto which other knowledge artifacts could be overlaid.",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''San Diego, CA 92182, USA{\backslash}``,[[32.7759882,-117.072053],[32.7790934,-117.0621444],[32.7701644,-117.0809228]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined",
issn="1932-6203",
doi="10.1371/journal.pone.0058779"
}

@Article{vanHarmelen2012,
author="van Harmelen, F.
and Kampis, G.
and Borner, Katy
and van den Besselaar, P.
and Schultes, E.
and Goble, C.
and Groth, P.
and Mons, B.
and Anderson, S.
and Decker, S.
and Hayes, C.
and Buecheler, T.
and Helbing, D.",
title="Theoretical and technological building blocks for an innovation accelerator",
journal="European Physical Journal-Special Topics",
year="2012",
volume="214",
number="1",
pages="183--214",
keywords="ENVIRONMENT ANNOTATION",
abstract="Modern science is a main driver of technological innovation. The efficiency of the scientific system is of key importance to ensure the competitiveness of a nation or region. However, the scientific system that we use today was devised centuries ago and is inadequate for our current ICT-based society: the peer review system encourages conservatism, journal publications are monolithic and slow, data is often not available to other scientists, and the independent validation of results is limited. The resulting scientific process is hence slow and sloppy. Building on the Innovation Accelerator paper by Helbing and Balietti [1], this paper takes the initial global vision and reviews the theoretical and technological building blocks that can be used for implementing an innovation (in first place: science) accelerator platform driven by re-imagining the science system. The envisioned platform would rest on four pillars: (i) Redesign the incentive scheme to reduce behavior such as conservatism, herding and hyping; (ii) Advance scientific publications by breaking up the monolithic paper unit and introducing other building blocks such as data, tools, experiment workflows, resources; (iii) Use machine readable semantics for publications, debate structures, provenance etc. in order to include the computer as a partner in the scientific process, and (iv) Build an online platform for collaboration, including a network of trust and reputation among the different types of stakeholders in the scientific system: scientists, educators, funding agencies, policy makers, students and industrial innovators among others. Any such improvements to the scientific system must support the entire scientific process (unlike current tools that chop up the scientific process into disconnected pieces), must facilitate and encourage collaboration and interdisciplinarity (again unlike current tools), must facilitate the inclusion of intelligent computing in the scientific process, must facilitate not only the core scientific process, but also accommodate other stakeholders such science policy makers, industrial innovators, and the general public. We first describe the current state of the scientific system together with up to a dozen new key initiatives, including an analysis of the role of science as an innovation accelerator. Our brief survey will show that there exist many separate ideas and concepts and diverse stand-alone demonstrator systems for different components of the ecosystem with many parts are still unexplored, and overall integration lacking. By analyzing a matrix of stakeholders vs. functionalities, we identify the required innovations. We (non-exhaustively) discuss a few of them: Publications that are meaningful to machines, innovative reviewing processes, data publication, workflow archiving and reuse, alternative impact metrics, tools for the detection of trends, community formation and emergence, as well as modular publications, citation objects and debate graphs. To summarize, the core idea behind the Innovation Accelerator is to develop new incentive models, rules, and interaction mechanisms to stimulate true innovation, revolutionizing the way in which we create knowledge and disseminate information.",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\"A}msterdam, Netherlands{\backslash}'',[[52.3702157,4.895167900000001],{\"A}msterdam{\backslash}``,[null,null]]],[{\backslash}''Budapest, Hungary{\backslash}``,[[47.497912,19.040235],{\backslash}''Budapest{\backslash}``,[null,null]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],{\backslash}''47405{\backslash}``,[null,null]]],[{\"A}msterdam, Netherlands{\backslash}'',[[52.3702157,4.895167900000001],{\"A}msterdam{\backslash}``,[null,null]]],[{\backslash}''William Barlowlaan 149, 1086 ZR Amsterdam, Netherlands{\backslash}``,[[52.360574,4.979915],{\backslash}''149{\backslash}``,[null,null]]],[{\backslash}''Manchester, UK{\backslash}``,[[53.4807593,-2.2426305],{\backslash}''Manchester{\backslash}``,[null,null]]],[{\backslash}''Berkeley, CA 94720, USA{\backslash}``,[[37.87015100000001,-122.2594606],{\backslash}''94720{\backslash}``,[null,null]]],[{\backslash}''Rotterdam, Netherlands{\backslash}``,[[51.9244201,4.4777325],{\backslash}''Rotterdam{\backslash}``,[null,null]]],[{\"E}dinburgh, UK{\backslash}'',[[55.953252,-3.188267],{\"E}dinburgh{\backslash}``,[null,null]]],[{\backslash}''Galway, Ireland{\backslash}``,[[53.270668,-9.0567905],{\backslash}''Galway{\backslash}``,[null,null]]],[{\backslash}''Galway, Ireland{\backslash}``,[[53.270668,-9.0567905],{\backslash}''Galway{\backslash}``,[null,null]]],[{\backslash}''Z{\~A}{\OE}rich, Switzerland{\backslash}``,[[47.3768866,8.541694],{\backslash}''Z{\~A}{\OE}rich{\backslash}``,[null,null]]],[{\backslash}''Z{\~A}{\OE}rich, Switzerland{\backslash}``,[[47.3768866,8.541694],{\backslash}''Z{\~A}{\OE}rich{\backslash}``,[null,null]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined",
issn="1951-6355",
doi="10.1140/epjst/e2012-01692-1",
url="http://download.springer.com/static/pdf/700/art%253A10.1140%252Fepjst%252Fe2012-01692-1.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Farticle%2F10.1140%2Fepjst%2Fe2012-01692-1&token2=exp=1456852759~acl=%2Fstatic%2Fpdf%2F700%2Fart%25253A10.1140%25252Fepjst%25252Fe2012-01692-1.pdf%3ForiginUrl%3Dhttp%253A%252F%252Flink.springer.com%252Farticle%252F10.1140%252Fepjst%252Fe2012-01692-1*~hmac=58fbbb8c4993c513dbb75dc70e622f54f0b10a3639e5e1274415262447b031ea"
}

@Article{Wagner2011,
author="Wagner, C. S.
and Roessner, J. D.
and Bobb, K.
and Klein, J. T.
and Boyack, K. W.
and Keyton, J.
and Rafols, I.
and Borner, Katy",
title="Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature",
journal="Journal of Informetrics",
year="2011",
volume="5",
number="1",
pages="14--26",
keywords="Interdisciplinary Science Research Indicators Bibliometrics Evaluation TRANSDISCIPLINARY RESEARCH TEAM SCIENCE COLLABORATION PERSPECTIVES BETWEENNESS INDICATORS CENTRALITY JOURNALS CENTERS FIELD",
abstract="Interdisciplinary scientific research (IDR) extends and challenges the study of science on a number of fronts, including creating output science and engineering (S\&E) indicators. This literature review began with a narrow search for quantitative measures of the output of IDR that could contribute to indicators, but the authors expanded the scope of the review as it became clear that differing definitions, assessment tools, evaluation processes, and measures all shed light on different aspects of IDR. Key among these broader aspects is (a) the importance of incorporating the concept of knowledge integration, and (b) recognizing that integration can occur within a single mind as well as among a team. Existing output measures alone cannot adequately capture this process. Among the quantitative measures considered, bibliometrics (co-authorships, co-inventors, collaborations, references, citations and co-citations) are the most developed, but leave considerable gaps in understanding of the social dynamics that lead to knowledge integration. Emerging measures in network dynamics (particularly betweenness centrality and diversity), and entropy are promising as indicators, but their use requires sophisticated interpretations. Combinations of quantitative measures and qualitative assessments being applied within evaluation studies appear to reveal IDR processes but carry burdens of expense, intrusion, and lack of reproducibility year-upon-year. This review is a first step toward providing a more holistic view of measuring IDR, although research and development is needed before metrics can adequately reflect the actual phenomenon of IDR. (C) 2010 Published by Elsevier Ltd.",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\"A}rlington, VA, USA{\backslash}'',[[38.8799697,-77.1067698],[38.934343,-77.03214299999999],[38.82729,-77.17216909999999]]],[{\"A}rlington, VA, USA{\backslash}``,[[38.8799697,-77.1067698],[38.934343,-77.03214299999999],[38.82729,-77.17216909999999]]],[{\"A}rlington County, VA, USA{\backslash}'',[[38.8816208,-77.09098089999999],[38.934343,-77.03214299999999],[38.82729,-77.17216909999999]]],[{\backslash}``Detroit, MI 48127, USA{\backslash}'',[[42.331427,-83.0457538],[42.45023,-82.910451],[42.255192,-83.287959]]],[{\"A}lbuquerque, NM 87101, USA{\backslash}``,[[35.0853336,-106.6055534],[35.2180539,-106.4711629],[34.9467659,-106.881796]]],[{\backslash}''Raleigh, NC 27513, USA{\backslash}``,[[35.7795897,-78.6381787],[35.97172800000001,-78.471063],[35.7158079,-78.8190489]]],[{\backslash}''Brighton, UK{\backslash}``,[[50.82253000000001,-0.137163],[50.8735837,-0.03626],[50.8012522,-0.1761194]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]]]\}''authorMeta:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined:undefined.undefined",
issn="1751-1577",
doi="10.1016/j.joi.2010.06.004"
}

@Article{Zoss2012,
author="Zoss, A. M.
and Borner, Katy",
title="Mapping interactions within the evolving science of science and innovation policy community",
journal="Scientometrics",
year="2012",
volume="91",
number="2",
pages="631--644",
keywords="Mixed methods Content analysis Collaboration networks Community mapping",
abstract="The Science of Science and Innovation Policy (SciSIP) program at the National Science Foundation (NSF) supports research designed to advance the scientific basis of science and innovation policy. The program was established at NSF in 2005 in response to a call from Dr. John Marburger III, then science advisor to the U.S. President, for a ?science? of science policy. As of January 2011, it has co-funded 162 awards that aim to develop, improve, and expand data, analytical tools, and models that can be directly applied in the science policy decision making process. The long-term goals of the SciSIP program are to provide a scientifically rigorous and quantitative basis for science policy and to establish an international community of practice. The program has an active listserv that, as of January 2011, has almost 700 members from academia, government, and industry. This study analyzed all SciSIP awards (through January 2011) to identify existing collaboration networks and co-funding relations between SciSIP and other areas of science. In addition, listserv data was downloaded and analyzed to derive complementary discourse information. Key results include evidence of rich diversity in communication and funding networks and effective strategies for interlinking researcher and science policy makers, prompting discussion, and resource sharing.",
note="``\{{\backslash}''geocoding{\backslash}``:[[{\backslash}''Durham, NC 27705, USA{\backslash}``,[[36.025609,-78.9853813],[36.1059459,-78.90533789999999],[35.952911,-79.04770599999999]]],[{\backslash}''Bloomington, IN 47405, USA{\backslash}``,[[39.1714266,-86.51860219999999],[39.1751269,-86.509462],[39.163122,-86.5269551]]]]\}''authorMeta:undefined.undefined:undefined.undefined",
issn="0138-9130",
doi="10.1007/s11192-011-0574-8",
url="http://download.springer.com/static/pdf/578/art%253A10.1007%252Fs11192-011-0574-8.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Farticle%2F10.1007%2Fs11192-011-0574-8&token2=exp=1456852764~acl=%2Fstatic%2Fpdf%2F578%2Fart%25253A10.1007%25252Fs11192-011-0574-8.pdf%3ForiginUrl%3Dhttp%253A%252F%252Flink.springer.com%252Farticle%252F10.1007%252Fs11192-011-0574-8*~hmac=5d9ae6c5c271f7f0dd3f1a9a64960b48f3cd3b970d76becaaa8599a4aac64f30"
}