Michael Subotin
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Diseases and Immunity
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
-
- Hepatocellular Carcinoma Treatment and Prognosis 4
- Liver physiology and pathology 1
-
- Natural Language Processing Techniques 4
- Machine Learning in Healthcare 2
- Co-authors
- Igor Dvorchik (5 shared papers)John J. Fung (4 shared papers)Anthony R. Davis (2 shared papers)ADRIAN CASAVILLA (2 shared papers)J. Wallis Marsh (2 shared papers)Jorge L. Rakela (2 shared papers)Vladimir M. Subbotin (3 shared papers)Brian Irving Carr (2 shared papers)
- Journals
- Hepatology (4 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 StatesItaly
In The Last Decade
Michael Subotin
14 papers receiving 495 citations
Peers
Comparison fields: 5 of 40
- Hepatology 281
- Health Information Management 50
- Artificial Intelligence 115
- Genetics 34
- Surgery 44
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 | 174 | |
| 2 | 2002 | 93 | |
| 3 | 2003 | 84 | |
| 4 | 2005 | 28 | |
| 5 | 2003 | 24 | |
| 6 | Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing | 2005 | 24 |
| 7 | 2016 | 23 | |
| 8 | 2014 | 22 | |
| 9 | 1996 | 21 | |
| 10 | An exponential translation model for target language morphology | 2011 | 16 |
| 11 | 2014 | 15 | |
| 12 | 1997 | 10 | |
| 13 | 1997 | 4 | |
| 14 | 2008 | 1 |
About Michael Subotin
Michael Subotin is a scholar working on Hepatology, Artificial Intelligence, Health Information Management, Information Systems and Cancer Research, having authored 14 papers that have together received 539 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Machine Learning in Healthcare (2 papers), Medical Coding and Health Information (2 papers), Information Retrieval and Search Behavior (1 paper), Liver physiology and pathology (1 paper), Cancer Genomics and Diagnostics (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Hepatology (281 citations), Health Information Management (50 citations), Artificial Intelligence (115 citations), Genetics (34 citations) and Surgery (44 citations). Michael Subotin has collaborated with scholars based in United States and Italy. Frequent co-authors include Igor Dvorchik, John J. Fung, Anthony R. Davis, ADRIAN CASAVILLA, J. Wallis Marsh, Jorge L. Rakela, Vladimir M. Subbotin, Brian Irving Carr, Shunzaburo Iwatsuki and Wallis J. 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.