Trevor Cohen

131 papers receiving 2.4k citations

Peers

Trevor Cohen
Comparison fields: 5 of 158
  • Health Information Management 237
  • Health Informatics 63
  • Family Practice 83
  • Toxicology 112
  • Artificial Intelligence 904
Replace Rae Woong Park with:
Rae Woong Park South Korea
Justin Starren United States
Qingxia Chen United States
Hadi Kharrazi United States
Elmer V. Bernstam United States
Reza Safdari Iran
Ellen Wright Clayton United States
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Trevor Cohen relative to Rae Woong Park South Korea Rae Woong Park's profile →
Citations per field
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Citations per year

Countries citing papers authored by Trevor Cohen

Since Specialization
Citations

This map shows the geographic impact of Trevor Cohen'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 Trevor Cohen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trevor Cohen more than expected).

Fields of papers citing papers by Trevor Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Trevor Cohen. 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 Trevor Cohen. The network helps show where Trevor Cohen may publish in the future.

Co-authors

The 25 scholars most cited alongside Trevor Cohen, 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 Trevor Cohen Line = papers co-authored together Trevor Cohen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 202420
4 202310
5 20238
6 202333
7 202325
8 202212
9 202220
10 20214
11 202125
12 202015
13 20184
14
Did Gaius Julius Caesar Write De Bello Hispaniensi? A Computational Study of Latin Classics Authorship
20180
15 201641
16 201424
17
Cognitive Informatics in Health and Biomedicine: Case Studies on Critical Care, Complexity and Errors
201312
18
Evaluation of Vector Space Models for Medical Disorders Information Retrieval.
20132
19
Many paths lead to discovery : analogical retrieval of cancer therapies
20123
20
Logical Leaps and Quantum Connectives: Forging Paths through Predication Space
201016

About Trevor Cohen

Trevor Cohen is a scholar working on Family Practice, Issues, ethics and legal aspects, Toxicology, Health Information Management and Applied Psychology, having authored 141 papers that have together received 2.6k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (51 papers), Topic Modeling (36 papers), Natural Language Processing Techniques (20 papers), Computational Drug Discovery Methods (14 papers), Semantic Web and Ontologies (11 papers), Electronic Health Records Systems (10 papers), Digital Mental Health Interventions (10 papers) and Pharmacovigilance and Adverse Drug Reactions (10 papers). The work is most often cited by research in Health Information Management (237 citations), Health Informatics (63 citations), Family Practice (83 citations), Toxicology (112 citations) and Artificial Intelligence (904 citations). Trevor Cohen has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Dominic Widdows, Vimla L. Patel, Thomas Kannampallil, Thomas C. Rindflesch, Guido F. Schauer, Sahiti Myneni, Nathan Cobb, Roger W. Schvaneveldt, Hua Xu and Roger W. Schvaneveldt. Their work appears in journals such as Journal of Biomedical Informatics, Journal of the American Medical Informatics Association, Journal of Obstetrics and Gynaecology Canada, Journal of Medical Internet Research and Database.

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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