Yu. V. Kapitonova

76 papers and 251 indexed citations i.

About

Yu. V. Kapitonova is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Yu. V. Kapitonova has authored 76 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 19 papers in Computational Theory and Mathematics and 15 papers in Control and Systems Engineering. Recurrent topics in Yu. V. Kapitonova’s work include Advanced Data Processing Techniques (12 papers), Logic, programming, and type systems (10 papers) and Formal Methods in Verification (10 papers). Yu. V. Kapitonova is often cited by papers focused on Advanced Data Processing Techniques (12 papers), Logic, programming, and type systems (10 papers) and Formal Methods in Verification (10 papers). Yu. V. Kapitonova collaborates with scholars based in Ukraine, Russia and United States. Yu. V. Kapitonova's co-authors include A. A. Letichevskiĭ, В. М. Глушков, А. А. Охлопкова, A. A. Letichevsky, Alan Mishchenko, Jin‐Ho Cho, Thomas Weigert, Н. Н. Щеголева, Аndrei I. Khlebnikov and А. В. Хохлов and has published in prestigious journals such as Molecules, Polymers and Journal of Polymer Research.

In The Last Decade

Co-authorship network of co-authors of Yu. V. Kapitonova i

Fields of papers citing papers by Yu. V. Kapitonova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu. V. Kapitonova. 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 Yu. V. Kapitonova. The network helps show where Yu. V. Kapitonova may publish in the future.

Countries citing papers authored by Yu. V. Kapitonova

Since Specialization
Citations

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