Michael Subotin

10 papers and 390 indexed citations i.

About

Michael Subotin is a scholar working on Artificial Intelligence, Molecular Biology and Hepatology. According to data from OpenAlex, Michael Subotin has authored 10 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Molecular Biology and 3 papers in Hepatology. Recurrent topics in Michael Subotin’s work include Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Biomedical Text Mining and Ontologies (3 papers). Michael Subotin is often cited by papers focused on Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Biomedical Text Mining and Ontologies (3 papers). Michael Subotin collaborates with scholars based in United States and Italy. Michael Subotin's co-authors include Igor Dvorchik, John J. Fung, Brian I. Carr, Владимир Субботин, Anthony R. Davis, V Balan, Jorge Rakela, A Casavilla, Shunzaburo Iwatsuki and J. Wallis Marsh and has published in prestigious journals such as Hepatology, Journal of the American Medical Informatics Association and Methods of Information in Medicine.

In The Last Decade

Co-authorship network of co-authors of Michael Subotin i

Fields of papers citing papers by Michael Subotin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Michael Subotin

Since Specialization
Citations

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).

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.

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