Serguei Pakhomov
- Artificial Intelligence top 0.5%
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Health Information Management top 0.2%
- Cognitive Neuroscience top 5%
- Co-authors
- Christopher G. ChuteTed PedersenGenevieve B. MeltonSteven J. JacobsenVéronique L. RogerBridget T. McInnesSiddharth PatwardhanFrancesca Bursi
- Topics
- Biomedical Text Mining and Ontologies (62 papers)Topic Modeling (39 papers)Natural Language Processing Techniques (31 papers)
- Journals
- JAMASHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Serguei Pakhomov
127 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Artificial Intelligence 1.6k
- Molecular Biology 1.4k
- Cardiology and Cardiovascular Medicine 679
- Health Information Management 357
- Cognitive Neuroscience 266
Countries citing papers authored by Serguei Pakhomov
This map shows the geographic impact of Serguei Pakhomov'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 Serguei Pakhomov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serguei Pakhomov more than expected).
Fields of papers citing papers by Serguei Pakhomov
This network shows the impact of papers produced by Serguei Pakhomov. 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 Serguei Pakhomov. The network helps show where Serguei Pakhomov may publish in the future.
Co-authorship network of co-authors of Serguei Pakhomov
This figure shows the co-authorship network connecting the top 25 collaborators of Serguei Pakhomov. A scholar is included among the top collaborators of Serguei Pakhomov 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 Serguei Pakhomov. Serguei Pakhomov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 6 | |
| 7 | 25 | |
| 8 | 42 | |
| 9 | UMLS::Similarity: Measuring the Relatedness and Similarity of Biomedical Concepts | 6 |
| 10 | 12 | |
| 11 | The role of the electronic medical record in the assessment of health related quality of life. | 7 |
| 12 | Using Second-order Vectors in a Knowledge-based Method for Acronym Disambiguation | 11 |
| 13 | Automated Identification of Synonyms in Biomedical Acronym Sense Inventories | 6 |
| 14 | 53 | |
| 15 | 17 | |
| 16 | 381 | |
| 17 | Systolic and Diastolic Heart Failure in the Communitybreakdown → | 666 |
| 18 | 37 | |
| 19 | Frame semantics and the domain of functioning, disability and health. | 3 |
| 20 | 26 |
About Serguei Pakhomov
Serguei Pakhomov is a scholar working on Health Information Management, Artificial Intelligence and Issues, ethics and legal aspects, having authored 135 papers that have together received 3.6k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (62 papers), Topic Modeling (39 papers) and Natural Language Processing Techniques (31 papers). The work is most often cited by research in Health Information Management (357 citations), Artificial Intelligence (1.6k citations) and Health Informatics (65 citations). Serguei Pakhomov has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Christopher G. Chute, Ted Pedersen, Genevieve B. Melton, Steven J. Jacobsen, Véronique L. Roger, Bridget T. McInnes, Siddharth Patwardhan, Francesca Bursi, Vuyisile T. Nkomo and Susan A. Weston. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología and Bioinformatics.
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.