Michael Subotin
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
- Liver Diseases and Immunity
- Health Information Management top 10%
Papers in
-
- Natural Language Processing Techniques 6
- Topic Modeling 6
- Semantic Web and Ontologies 2
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- Biomedical Text Mining and Ontologies 3
- Co-authors
- Igor Dvorchik (4 shared papers)John J. Fung (4 shared papers)Anthony R. Davis (2 shared papers)Jorge Rakela (1 shared paper)Brian I. Carr (2 shared papers)Владимир Субботин (2 shared papers)A Casavilla (1 shared paper)J. Wallis Marsh (1 shared paper)
- Journals
- Hepatology (3 papers)Methods of Information in Medicine (1 paper)Journal of the American Medical Informatics Association (1 paper)Transplantation Proceedings (1 paper)ACM Transactions on Asian Language Information Processing (1 paper)
- Partner nations
- United StatesTaiwanItaly
In The Last Decade
Michael Subotin
13 papers receiving 442 citations
Peers
Comparison fields: 5 of 52
- Hepatology 275
- Health Information Management 25
- Epidemiology 148
- Artificial Intelligence 125
- Surgery 168
Countries citing papers authored by Michael Subotin
This map shows the geographic impact of Michael Subotin'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 Michael Subotin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Subotin more than expected).
Fields of papers citing papers by Michael Subotin
This network shows the impact of papers produced by Michael Subotin. 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 Michael Subotin. The network helps show where Michael Subotin may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Subotin, 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 | 1997 | 160 | |
| 2 | 2002 | 81 | |
| 3 | 2003 | 76 | |
| 4 | 2005 | 28 | |
| 5 | Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing | 2005 | 22 |
| 6 | 2016 | 19 | |
| 7 | 2003 | 19 | |
| 8 | 2014 | 19 | |
| 9 | 1996 | 16 | |
| 10 | An exponential translation model for target language morphology | 2011 | 13 |
| 11 | 2014 | 12 | |
| 12 | 1997 | 3 | |
| 13 | 2008 | 1 |
About Michael Subotin
Michael Subotin is a scholar working on Artificial Intelligence, Molecular Biology, Hepatology, Epidemiology and Surgery, having authored 13 papers that have together received 469 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers), Biomedical Text Mining and Ontologies (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Semantic Web and Ontologies (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer Genomics and Diagnostics (1 paper) and Inflammatory Bowel Disease (1 paper). The work is most often cited by research in Hepatology (275 citations), Health Information Management (25 citations), Epidemiology (148 citations), Artificial Intelligence (125 citations) and Surgery (168 citations). Michael Subotin has collaborated with scholars based in United States, Taiwan and Italy. Frequent co-authors include Igor Dvorchik, John J. Fung, Anthony R. Davis, Jorge Rakela, Brian I. Carr, Владимир Субботин, A Casavilla, J. Wallis Marsh, Shunzaburo Iwatsuki and Wallis Marsh. Their work appears in journals such as Hepatology, Methods of Information in Medicine, Journal of the American Medical Informatics Association, Transplantation Proceedings and ACM Transactions on Asian Language Information Processing.
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.