Roman Suvorov

12 papers and 417 indexed citations i.

About

Roman Suvorov is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Roman Suvorov has authored 12 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Molecular Biology. Recurrent topics in Roman Suvorov’s work include Technology and Human Factors in Education and Health (2 papers), Web Data Mining and Analysis (2 papers) and Topic Modeling (2 papers). Roman Suvorov is often cited by papers focused on Technology and Human Factors in Education and Health (2 papers), Web Data Mining and Analysis (2 papers) and Topic Modeling (2 papers). Roman Suvorov collaborates with scholars based in Russia, United States and Taiwan. Roman Suvorov's co-authors include Naejin Kong, Victor Lempitsky, Elizaveta Logacheva, Arsenii Ashukha, Aleksandr I. Panov, Konstantin Yakovlev, А. Yu. Lupatov, K. N. Yarygin, Yan Kim and Jung-Hsien Chiang and has published in prestigious journals such as Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms, Bulletin of Experimental Biology and Medicine and Journal of Physics Conference Series.

In The Last Decade

Co-authorship network of co-authors of Roman Suvorov i

Fields of papers citing papers by Roman Suvorov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roman Suvorov. 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 Roman Suvorov. The network helps show where Roman Suvorov may publish in the future.

Countries citing papers authored by Roman Suvorov

Since Specialization
Citations

This map shows the geographic impact of Roman Suvorov'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 Roman Suvorov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roman Suvorov 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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