Dmitry Kovalev

24 papers and 133 indexed citations i.

About

Dmitry Kovalev is a scholar working on Artificial Intelligence, Computational Mechanics and Numerical Analysis. According to data from OpenAlex, Dmitry Kovalev has authored 24 papers receiving a total of 133 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computational Mechanics and 6 papers in Numerical Analysis. Recurrent topics in Dmitry Kovalev’s work include Stochastic Gradient Optimization Techniques (13 papers), Sparse and Compressive Sensing Techniques (7 papers) and Advanced Optimization Algorithms Research (6 papers). Dmitry Kovalev is often cited by papers focused on Stochastic Gradient Optimization Techniques (13 papers), Sparse and Compressive Sensing Techniques (7 papers) and Advanced Optimization Algorithms Research (6 papers). Dmitry Kovalev collaborates with scholars based in Russia, Saudi Arabia and Belgium. Dmitry Kovalev's co-authors include Peter Richtárik, Sofie Pollin, Evgenii Vinogradov, Alexander Gasnikov, Danielle Vanhoenacker‐Janvier, Laurent Condat, Sebastian U. Stich, Konstantin Mishchenko, R. van Hout and Richard Wilson and has published in prestigious journals such as Journal of Fluid Mechanics, Bulletin of the American Meteorological Society and Journal of Atmospheric and Oceanic Technology.

In The Last Decade

Co-authorship network of co-authors of Dmitry Kovalev i

Fields of papers citing papers by Dmitry Kovalev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dmitry Kovalev

Since Specialization
Citations

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