Katy Börner

159 papers receiving 7.5k citations

Katy Börner's Hit Papers

Science of science 2018 · 812 citations
8120+7+15Years since publication4008001.2k

Peers

Katy Börner
Comparison fields: 5 of 214
  • Statistics, Probability and Uncertainty 1.8k
  • Information Systems and Management 1.0k
  • Statistical and Nonlinear Physics 1.2k
  • Computer Science Applications 344
  • Information Systems 1.3k
Replace Kevin W. Boyack with:
Kevin W. Boyack United States
Henry Small United States
Ying Ding China
Ronald Rousseau Belgium
Dashun Wang United States
Richard Klavans United States
Wolfgang Glänzel Belgium
Anthony F. J. van Raan Netherlands
Félix de Moya Anegón Spain
Howard D. White United States
Katy Börner relative to Kevin W. Boyack United States Kevin W. Boyack's profile →
Citations per field
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Citations per year

Countries citing papers authored by Katy Börner

Since Specialization
Citations

This map shows the geographic impact of Katy Börner's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Katy Börner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katy Börner more than expected).

Fields of papers citing papers by Katy Börner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katy Börner. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Katy Börner. The network helps show where Katy Börner may publish in the future.

Co-authors

The 25 scholars most cited alongside Katy Börner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Katy Börner Line = papers co-authored together Katy Börner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Visualizing knowledge domains
Hit paper breakdown →
20031260
2
Science of science
Hit paper breakdown →
2018812
3
Mapping the backbone of science
Hit paper breakdown →
2005689
4
Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature
Hit paper breakdown →
2010546
5 2006412
6 2004252
7 2010214
8 2004202
9 2011198
10 2019180
11 2007175
12 2012160
13 2004158
14 2016142
15 2015127
16 2015126
17 2005121
18 2010111
19 2018107
20 2007105

About Katy Börner

Katy Börner is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Statistics, Probability and Uncertainty and Molecular Biology, having authored 166 papers that have together received 8.0k indexed citations. Recurring topics across this work include Data Visualization and Analytics (55 papers), scientometrics and bibliometrics research (29 papers), Complex Network Analysis Techniques (24 papers), Scientific Computing and Data Management (19 papers), Multimedia Communication and Technology (14 papers), Web visibility and informetrics (13 papers), Research Data Management Practices (13 papers) and Biomedical Text Mining and Ontologies (13 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.8k citations), Information Systems and Management (1.0k citations), Statistical and Nonlinear Physics (1.2k citations), Computer Science Applications (344 citations) and Information Systems (1.3k citations). Katy Börner has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Kevin W. Boyack, Chaomei Chen, Richard Klavans, Weimao Ke, Alessandro Vespignani, Richard M. Shiffrin, Michael Schoon, Marco A. Janssen, Joann Keyton and Brian Uzzi. Their work appears in journals such as PLoS ONE, Scientometrics, Proceedings of the National Academy of Sciences, Communications Biology and Scientific Data.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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