Sergey Feldman
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
- Advanced Text Analysis Techniques
- Machine Learning and Data Classification
- Authorship Attribution and Profiling
Papers in
-
- Natural Language Processing Techniques 8
- Topic Modeling 8
- Authorship Attribution and Profiling 2
- Target Tracking and Data Fusion in Sensor Networks 2
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- Biomedical Text Mining and Ontologies 2
- Co-authors
- Waleed Ammar (1 shared paper)Russell Power (1 shared paper)Chandra Bhagavatula (1 shared paper)Kyle Lo (1 shared paper)Oren Etzioni (1 shared paper)Elly Trepman (1 shared paper)Madeleine van Zuylen (1 shared paper)Maya R. Gupta (5 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)JAMA Network Open (1 paper)Journal of Machine Learning Research (1 paper)Journal of Proteome Research (1 paper)
- Partner nations
- United StatesJapanHungary
In The Last Decade
Sergey Feldman
18 papers receiving 359 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 199
- Health Informatics 7
- Information Systems 80
- Public Health, Environmental and Occupational Health 39
- Gender Studies 13
Countries citing papers authored by Sergey Feldman
This map shows the geographic impact of Sergey Feldman'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 Sergey Feldman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey Feldman more than expected).
Fields of papers citing papers by Sergey Feldman
This network shows the impact of papers produced by Sergey Feldman. 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 Sergey Feldman. The network helps show where Sergey Feldman may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergey Feldman, 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 | 2019 | 101 | |
| 2 | 2018 | 99 | |
| 3 | 2009 | 51 | |
| 4 | 2009 | 30 | |
| 5 | 2023 | 21 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 14 | |
| 8 | 2010 | 12 | |
| 9 | 2009 | 7 | |
| 10 | 2011 | 6 | |
| 11 | 2009 | 5 | |
| 12 | Revisiting Stein's paradox: multi-task averaging | 2014 | 3 |
| 13 | 2016 | 3 | |
| 14 | 2017 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2024 | 1 | |
| 18 | Multi-Task Output Space Regularization | 2011 | 1 |
| 19 | 2023 | 0 | |
| 20 | Filtering tandem mass spectra for quality | 2012 | 0 |
About Sergey Feldman
Sergey Feldman is a scholar working on Artificial Intelligence, Molecular Biology, Computational Mechanics, Management Science and Operations Research and Spectroscopy, having authored 20 papers that have together received 377 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (8 papers), Topic Modeling (8 papers), Sparse and Compressive Sensing Techniques (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Authorship Attribution and Profiling (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Artificial Intelligence (199 citations), Health Informatics (7 citations), Information Systems (80 citations), Public Health, Environmental and Occupational Health (39 citations) and Gender Studies (13 citations). Sergey Feldman has collaborated with scholars based in United States, Japan and Hungary. Frequent co-authors include Waleed Ammar, Russell Power, Chandra Bhagavatula, Kyle Lo, Oren Etzioni, Elly Trepman, Madeleine van Zuylen, Maya R. Gupta, Eric Garcia and Santosh Kumar Srivastava. Their work appears in journals such as Transactions of the Association for Computational Linguistics, IEEE Transactions on Knowledge and Data Engineering, JAMA Network Open, Journal of Machine Learning Research and Journal of Proteome Research.
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.