Sergey Dolgov

51 papers and 1.1k indexed citations i.

About

Sergey Dolgov is a scholar working on Computational Mathematics, Statistical and Nonlinear Physics and Computational Theory and Mathematics. According to data from OpenAlex, Sergey Dolgov has authored 51 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computational Mathematics, 23 papers in Statistical and Nonlinear Physics and 13 papers in Computational Theory and Mathematics. Recurrent topics in Sergey Dolgov’s work include Tensor decomposition and applications (40 papers), Model Reduction and Neural Networks (21 papers) and Matrix Theory and Algorithms (12 papers). Sergey Dolgov is often cited by papers focused on Tensor decomposition and applications (40 papers), Model Reduction and Neural Networks (21 papers) and Matrix Theory and Algorithms (12 papers). Sergey Dolgov collaborates with scholars based in United Kingdom, Germany and Russia. Sergey Dolgov's co-authors include Dmitry Savostyanov, Boris N. Khoromskij, Ivan Oseledets, Martin Stoll, Robert Scheichl, Dante Kalise, Raffaele Borrelli, Karl Kunisch, Peter Benner and Michael Lubasch and has published in prestigious journals such as The Journal of Physical Chemistry B, Physical Review B and Journal of Computational Physics.

In The Last Decade

Co-authorship network of co-authors of Sergey Dolgov i

Fields of papers citing papers by Sergey Dolgov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sergey Dolgov

Since Specialization
Citations

This map shows the geographic impact of Sergey Dolgov'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 Dolgov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey Dolgov 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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2025