Serguei Pakhomov

112 papers and 3.1k indexed citations i.

About

Serguei Pakhomov is a scholar working on Molecular Biology, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Serguei Pakhomov has authored 112 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 47 papers in Artificial Intelligence and 19 papers in Health Information Management. Recurrent topics in Serguei Pakhomov’s work include Biomedical Text Mining and Ontologies (53 papers), Topic Modeling (30 papers) and Natural Language Processing Techniques (22 papers). Serguei Pakhomov is often cited by papers focused on Biomedical Text Mining and Ontologies (53 papers), Topic Modeling (30 papers) and Natural Language Processing Techniques (22 papers). Serguei Pakhomov collaborates with scholars based in United States, Switzerland and Canada. Serguei Pakhomov's co-authors include Christopher G. Chute, Ted Pedersen, Genevieve B. Melton, Steven J. Jacobsen, Véronique L. Roger, Vuyisile T. Nkomo, Susan A. Weston, Ryan A. Meverden, Margaret M. Redfield and Francesca Bursi and has published in prestigious journals such as JAMA, Bioinformatics and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Serguei Pakhomov i

Fields of papers citing papers by Serguei Pakhomov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Serguei Pakhomov

Since Specialization
Citations

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).

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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