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
- Research Data Management Practices
Papers in
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- Spam and Phishing Detection 6
- Research Data Management Practices 4
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- Complex Network Analysis Techniques 6
- Co-authors
- Hsinchun Chen (13 shared papers)Mihail C. Roco (6 shared papers)Yan Dang (7 shared papers)Xin Li (3 shared papers)Hsinchun Chen (5 shared papers)Shan Jiang (3 shared papers)Zhu Zhang (1 shared paper)Gang Wang (1 shared paper)
- Journals
- Journal of Nanoparticle Research (5 papers)Reference Services Review (1 paper)PLoS ONE (1 paper)Journal of the Medical Library Association JMLA (1 paper)Information Systems Frontiers (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Catherine Larson
27 papers receiving 408 citations
Peers
Comparison fields: 5 of 103
- Statistics, Probability and Uncertainty 50
- Information Systems 127
- Information Systems and Management 36
- Management of Technology and Innovation 32
- Library and Information Sciences 6
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 63 | |
| 2 | 2009 | 60 | |
| 3 | 2013 | 58 | |
| 4 | 2008 | 31 | |
| 5 | 2009 | 30 | |
| 6 | 2010 | 27 | |
| 7 | 2007 | 26 | |
| 8 | 2015 | 18 | |
| 9 | 2008 | 14 | |
| 10 | 2019 | 14 | |
| 11 | 2015 | 14 | |
| 12 | 2011 | 11 | |
| 13 | 2011 | 11 | |
| 14 | 1998 | 10 | |
| 15 | 2014 | 10 | |
| 16 | 2004 | 9 | |
| 17 | 2014 | 8 | |
| 18 | 2013 | 5 | |
| 19 | 2014 | 4 | |
| 20 | 2008 | 3 |
About Catherine Larson
Catherine Larson is a scholar working on Information Systems, Statistical and Nonlinear Physics, Artificial Intelligence, Information Systems and Management and Epidemiology, having authored 30 papers that have together received 440 indexed citations. Recurring topics across this work include Spam and Phishing Detection (6 papers), Complex Network Analysis Techniques (6 papers), Research Data Management Practices (4 papers), Authorship Attribution and Profiling (3 papers), Scientific Computing and Data Management (3 papers), scientometrics and bibliometrics research (3 papers), Hate Speech and Cyberbullying Detection (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (50 citations), Information Systems (127 citations), Information Systems and Management (36 citations), Management of Technology and Innovation (32 citations) and Library and Information Sciences (6 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, Xin Li, Hsinchun Chen, Shan Jiang, Zhu Zhang, Gang Wang, Jianshan Sun and Shanlin Yang. Their work appears in journals such as Journal of Nanoparticle Research, Reference Services Review, PLoS ONE, Journal of the Medical Library Association JMLA and Information Systems Frontiers.
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.