Katy Börner

210 papers receiving 9.7k citations

Katy Börner's Hit Papers

The human body at cellular resolution: the NIH Human Biomolecular Atlas Program 2019 · 413 citations
4130+7+15Years since publication4008001.2k

Peers

Katy Börner
Comparison fields: 5 of 212
  • Statistics, Probability and Uncertainty 3.8k
  • Information Systems and Management 1.1k
  • Statistical and Nonlinear Physics 520
  • Computer Vision and Pattern Recognition 1.1k
  • General Social Sciences 156
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Ying Ding United States
Kevin W. Boyack United States
Henry G. Small United States
Johan Bollen United States
Dashun Wang United States
Mike A Thelwall United Kingdom
Mathieu Jacomy France
Mathieu Bastian France
Sébastien Heymann France
Vladimir Batagelj Slovenia
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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 221 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Visualizing knowledge domains
Hit paper breakdown →
20031382
2
Science of science
Hit paper breakdown →
2018936
3 2005743
4
Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature
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2010600
5 2006446
6
The human body at cellular resolution: the NIH Human Biomolecular Atlas Program
Hit paper breakdown →
2019413
7 2004272
8 2010253
9 2004224
10 2011224
11 2007215
12 2019207
13 2012180
14 2004169
15 2016163
16 2005151
17 2015149
18 2015148
19 2010131
20 2007125

About Katy Börner

Katy Börner is a scholar working on Statistics, Probability and Uncertainty, Computer Vision and Pattern Recognition, Information Systems and Management, Information Systems and Artificial Intelligence, having authored 221 papers that have together received 10.3k indexed citations. Recurring topics across this work include Data Visualization and Analytics (73 papers), scientometrics and bibliometrics research (65 papers), Research, Science, and Academia (14 papers), Single-cell and spatial transcriptomics (13 papers), Complex Network Analysis Techniques (9 papers), Semantic Web and Ontologies (9 papers), Biomedical Text Mining and Ontologies (7 papers) and Library Science and Information (7 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (3.8k citations), Information Systems and Management (1.1k citations), Statistical and Nonlinear Physics (520 citations), Computer Vision and Pattern Recognition (1.1k citations) and General Social Sciences (156 citations). Katy Börner has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Kevin W. Boyack, Chaomei Chen, Richard Klavans, Weimao Ke, Alessandro Vespignani, Richard M. Shiffrin, Joann Keyton, Marco A. Janssen, Michael Schoon and Brian Uzzi. Their work appears in journals such as PLoS ONE, Scientometrics, Proceedings of the National Academy of Sciences, Nature Methods and Information Visualization.

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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