K. B. Cohen
Impact in
- Artificial Intelligence top 5%
- Semantic Web and Ontologies
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
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- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- Genetics, Bioinformatics, and Biomedical Research
Papers in
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- Biomedical Text Mining and Ontologies 5
- Genomics and Phylogenetic Studies 1
- Genetics, Bioinformatics, and Biomedical Research 1
-
- Semantic Web and Ontologies 4
- Topic Modeling 2
- Advanced Text Analysis Techniques 1
- Natural Language Processing Techniques 1
- Co-authors
- Dina Demner‐Fushman (1 shared paper)Pierre Zweigenbaum (1 shared paper)Hong Yu (1 shared paper)Cathy Wu (2 shared papers)Martin Krallinger (2 shared papers)Lynette Hirschman (1 shared paper)Zhiyong Lu (1 shared paper)Fabio Rinaldi (1 shared paper)
- Journals
- Briefings in Bioinformatics (2 papers)Database (2 papers)IBM Journal of Research and Development (1 paper)
- Partner nations
- United StatesSpainAustralia
In The Last Decade
K. B. Cohen
5 papers receiving 466 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 238
- Molecular Biology 404
- Information Systems and Management 26
- Toxicology 7
- Computational Theory and Mathematics 33
Countries citing papers authored by K. B. Cohen
This map shows the geographic impact of K. B. 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 K. B. Cohen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. B. Cohen more than expected).
Fields of papers citing papers by K. B. Cohen
This network shows the impact of papers produced by K. B. 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 K. B. Cohen. The network helps show where K. B. Cohen may publish in the future.
Co-authors
The 25 scholars most cited alongside K. B. Cohen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 195 | |
| 2 | 2013 | 118 | |
| 3 | 2012 | 116 | |
| 4 | 2012 | 31 | |
| 5 | 2011 | 29 |
About K. B. Cohen
K. B. Cohen is a scholar working on Molecular Biology, Artificial Intelligence, Infectious Diseases, Organic Chemistry and Surgery, having authored 5 papers that have together received 489 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (5 papers), Semantic Web and Ontologies (4 papers), Topic Modeling (2 papers), Genomics and Phylogenetic Studies (1 paper), Advanced Text Analysis Techniques (1 paper), Natural Language Processing Techniques (1 paper) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Artificial Intelligence (238 citations), Molecular Biology (404 citations), Information Systems and Management (26 citations), Toxicology (7 citations) and Computational Theory and Mathematics (33 citations). K. B. Cohen has collaborated with scholars based in United States, Spain and Australia. Frequent co-authors include Dina Demner‐Fushman, Pierre Zweigenbaum, Hong Yu, Cathy Wu, Martin Krallinger, Lynette Hirschman, Zhiyong Lu, Fabio Rinaldi, Manabu Torii and Yifan Peng. Their work appears in journals such as Briefings in Bioinformatics, Database and IBM Journal of Research and Development.
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.