Michael Subotin
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Diseases and Immunity
- Liver Disease and Transplantation
- Health Information Management top 10%
Papers in
-
- Natural Language Processing Techniques 6
- Topic Modeling 5
- Semantic Web and Ontologies 2
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- Biomedical Text Mining and Ontologies 2
- 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)J. Wallis Marsh (1 shared paper)Shunzaburo Iwatsuki (1 shared paper)A Casavilla (1 shared paper)
- Journals
- Hepatology (3 papers)Journal of the American Medical Informatics Association (1 paper)Methods of Information in Medicine (1 paper)ACM Transactions on Asian Language Information Processing (1 paper)Transplantation Proceedings (1 paper)
- Partner nations
- United StatesItalyTaiwan
In The Last Decade
Michael Subotin
13 papers receiving 477 citations
Peers
Comparison fields: 5 of 49
- Hepatology 278
- Health Information Management 23
- Epidemiology 123
- Artificial Intelligence 132
- Surgery 132
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 | 167 | |
| 2 | 2002 | 92 | |
| 3 | 2003 | 81 | |
| 4 | 2005 | 29 | |
| 5 | Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing | 2005 | 26 |
| 6 | 2003 | 25 | |
| 7 | 2014 | 22 | |
| 8 | 2016 | 20 | |
| 9 | 1996 | 18 | |
| 10 | An exponential translation model for target language morphology | 2011 | 14 |
| 11 | 2014 | 14 | |
| 12 | 1997 | 4 | |
| 13 | 2008 | 1 |
About Michael Subotin
Michael Subotin is a scholar working on Artificial Intelligence, Molecular Biology, Hepatology, Health Information Management and Epidemiology, having authored 13 papers that have together received 513 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Semantic Web and Ontologies (2 papers), Biomedical Text Mining and Ontologies (2 papers), Medical Coding and Health Information (2 papers) and Organ Transplantation Techniques and Outcomes (1 paper). The work is most often cited by research in Hepatology (278 citations), Health Information Management (23 citations), Epidemiology (123 citations), Artificial Intelligence (132 citations) and Surgery (132 citations). Michael Subotin has collaborated with scholars based in United States, Italy and Taiwan. Frequent co-authors include Igor Dvorchik, John J. Fung, Anthony R. Davis, Jorge Rakela, Brian I. Carr, J. Wallis Marsh, Shunzaburo Iwatsuki, A Casavilla, Владимир Субботин and Wallis Marsh. Their work appears in journals such as Hepatology, Journal of the American Medical Informatics Association, Methods of Information in Medicine, ACM Transactions on Asian Language Information Processing and Transplantation Proceedings.
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.