Catherine Larson
Impact in
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- scientometrics and bibliometrics research
- Information Systems top 5%
- Spam and Phishing Detection
- Cybercrime and Law Enforcement Studies
Papers in
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- Spam and Phishing Detection 7
- Research Data Management Practices 4
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- Data-Driven Disease Surveillance 6
- Co-authors
- Hsinchun Chen (18 shared papers)Mihail C. Roco (6 shared papers)Yan Dang (8 shared papers)Hsinchun Chen (7 shared papers)Shan Jiang (3 shared papers)Xin Li (3 shared papers)Shanlin Yang (1 shared paper)Zhu Zhang (1 shared paper)
- Journals
- Journal of Nanoparticle Research (5 papers)Journal of the Medical Library Association JMLA (1 paper)Information Processing & Management (1 paper)PLoS ONE (1 paper)Scientometrics (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Catherine Larson
34 papers receiving 514 citations
Peers
Comparison fields: 5 of 112
- Statistics, Probability and Uncertainty 52
- Information Systems 164
- Information Systems and Management 43
- Management of Technology and Innovation 34
- Artificial Intelligence 138
Countries citing papers authored by Catherine Larson
This map shows the geographic impact of Catherine Larson'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 Catherine Larson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Larson more than expected).
Fields of papers citing papers by Catherine Larson
This network shows the impact of papers produced by Catherine Larson. 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 Catherine Larson. The network helps show where Catherine Larson may publish in the future.
Co-authors
The 25 scholars most cited alongside Catherine Larson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 71 | |
| 2 | 2009 | 67 | |
| 3 | 2014 | 67 | |
| 4 | 2009 | 38 | |
| 5 | 2008 | 36 | |
| 6 | 2010 | 33 | |
| 7 | 2007 | 26 | |
| 8 | 2004 | 23 | |
| 9 | 2015 | 21 | |
| 10 | 2008 | 18 | |
| 11 | 2004 | 16 | |
| 12 | 2011 | 15 | |
| 13 | 2019 | 14 | |
| 14 | 2015 | 14 | |
| 15 | 2011 | 12 | |
| 16 | 2014 | 11 | |
| 17 | 2004 | 10 | |
| 18 | 1998 | 10 | |
| 19 | 2014 | 10 | |
| 20 | 2005 | 8 |
About Catherine Larson
Catherine Larson is a scholar working on Information Systems, Epidemiology, Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems and Management, having authored 38 papers that have together received 561 indexed citations. Recurring topics across this work include Spam and Phishing Detection (7 papers), Data-Driven Disease Surveillance (6 papers), Complex Network Analysis Techniques (6 papers), Authorship Attribution and Profiling (4 papers), Research Data Management Practices (4 papers), Scientific Computing and Data Management (4 papers), Mobile Health and mHealth Applications (3 papers) and Data Quality and Management (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (52 citations), Information Systems (164 citations), Information Systems and Management (43 citations), Management of Technology and Innovation (34 citations) and Artificial Intelligence (138 citations). Catherine Larson has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Hsinchun Chen, Mihail C. Roco, Yan Dang, Hsinchun Chen, Shan Jiang, Xin Li, Shanlin Yang, Zhu Zhang, Jianshan Sun and Gang Wang. Their work appears in journals such as Journal of Nanoparticle Research, Journal of the Medical Library Association JMLA, Information Processing & Management, PLoS ONE and Scientometrics.
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.