Raphael Cohen
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Family Practice top 10%
Papers in
-
- Biomedical Text Mining and Ontologies 6
- Genomics and Phylogenetic Studies 2
- Gene expression and cancer classification 1
-
- Topic Modeling 8
- Natural Language Processing Techniques 6
- Co-authors
- Michael Elhadad (11 shared papers)Noémie Elhadad (3 shared papers)Nophar Geifman (2 shared papers)Eitan Rubin (2 shared papers)Vered Chalifa‐Caspi (2 shared papers)Vadim E. Fraifeld (1 shared paper)Arie Budovsky (1 shared paper)Amir Abramovich (1 shared paper)
- Journals
- PLoS ONE (2 papers)BMC Bioinformatics (2 papers)Journal of the American Medical Informatics Association (1 paper)Academic Medicine (1 paper)Medical Education (1 paper)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Raphael Cohen
24 papers receiving 483 citations
Peers
Comparison fields: 5 of 118
- Aging 59
- Family Practice 22
- Health Information Management 33
- Artificial Intelligence 115
- Molecular Biology 154
Countries citing papers authored by Raphael Cohen
This map shows the geographic impact of Raphael 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 Raphael Cohen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphael Cohen more than expected).
Fields of papers citing papers by Raphael Cohen
This network shows the impact of papers produced by Raphael 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 Raphael Cohen. The network helps show where Raphael Cohen may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphael 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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 91 | |
| 2 | 2006 | 80 | |
| 3 | 2013 | 79 | |
| 4 | 2014 | 55 | |
| 5 | 2003 | 27 | |
| 6 | 2007 | 25 | |
| 7 | 2016 | 21 | |
| 8 | 2010 | 18 | |
| 9 | 1982 | 18 | |
| 10 | 2011 | 15 | |
| 11 | 2011 | 12 | |
| 12 | 2020 | 10 | |
| 13 | 1991 | 10 | |
| 14 | 2013 | 8 | |
| 15 | 2014 | 8 | |
| 16 | Domain Adaptation of a Dependency Parser with a Class-Class Selectional Preference Model | 2012 | 7 |
| 17 | Syntactic dependency parsers for biomedical-NLP. | 2012 | 6 |
| 18 | 1983 | 4 | |
| 19 | 1959 | 2 | |
| 20 | 2020 | 2 |
About Raphael Cohen
Raphael Cohen is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Public Health, Environmental and Occupational Health and General Health Professions, having authored 24 papers that have together received 503 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers), Biomedical Text Mining and Ontologies (6 papers), Innovations in Medical Education (3 papers), Genomics and Rare Diseases (2 papers), Genomics and Phylogenetic Studies (2 papers), Patient Satisfaction in Healthcare (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Aging (59 citations), Family Practice (22 citations), Health Information Management (33 citations), Artificial Intelligence (115 citations) and Molecular Biology (154 citations). Raphael Cohen has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Michael Elhadad, Noémie Elhadad, Nophar Geifman, Eitan Rubin, Vered Chalifa‐Caspi, Vadim E. Fraifeld, Arie Budovsky, Amir Abramovich, Mayer Brezis and Ohad S. Birk. Their work appears in journals such as PLoS ONE, BMC Bioinformatics, Journal of the American Medical Informatics Association, Academic Medicine and Medical Education.
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.