Michael Subotin
About
In The Last Decade
Michael Subotin
13 papers receiving 442 citations
Peers
Comparison fields: 5 of 52
- Hepatology 275
- Surgery 168
- Epidemiology 148
- Artificial Intelligence 125
- Molecular Biology 64
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-authorship network of co-authors of Michael Subotin
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Subotin. A scholar is included among the top collaborators of Michael Subotin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Subotin. Michael Subotin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 19 | |
| 3 | 12 | |
| 4 | An exponential translation model for target language morphology | 13 |
| 5 | 1 | |
| 6 | Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing | 22 |
| 7 | 28 | |
| 8 | 76 | |
| 9 | 19 | |
| 10 | 81 | |
| 11 | 160 | |
| 12 | 3 | |
| 13 | 16 |
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.