Д. В. Прохоров

68 total papers · 402 total citations
44 papers, 295 citations indexed

About

Д. В. Прохоров is a scholar working on Applied Mathematics, Mathematical Physics and Computational Theory and Mathematics. According to data from OpenAlex, Д. В. Прохоров has authored 44 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Applied Mathematics, 21 papers in Mathematical Physics and 7 papers in Computational Theory and Mathematics. Recurrent topics in Д. В. Прохоров's work include Advanced Harmonic Analysis Research (27 papers), Differential Equations and Boundary Problems (23 papers) and Spectral Theory in Mathematical Physics (11 papers). Д. В. Прохоров is often cited by papers focused on Advanced Harmonic Analysis Research (27 papers), Differential Equations and Boundary Problems (23 papers) and Spectral Theory in Mathematical Physics (11 papers). Д. В. Прохоров collaborates with scholars based in Russia, Brazil and United Kingdom. Д. В. Прохоров's co-authors include V. D. Stepanov, E. P. Ushakova, Lars‐Erik Persson, Alexander N. Gorban, Evgeny M. Mirkes, Ivan Tyukin and В. А. Прохоров and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Proceedings of the American Mathematical Society.

In The Last Decade

Д. В. Прохоров

36 papers receiving 215 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Д. В. Прохоров 266 120 39 14 10 44 295
A. L. Bernardis 207 0.8× 119 1.0× 19 0.5× 16 1.1× 5 0.5× 40 221
E. P. Ushakova 256 1.0× 122 1.0× 36 0.9× 32 2.3× 6 0.6× 46 283
Kenneth F. Andersen 270 1.0× 103 0.9× 34 0.9× 28 2.0× 14 1.4× 31 290
Qingyan Wu 262 1.0× 168 1.4× 36 0.9× 44 3.1× 18 1.8× 36 345
V. I. Kolyada 282 1.1× 126 1.1× 70 1.8× 26 1.9× 19 1.9× 35 300
‎Denny Ivanal Hakim 251 0.9× 163 1.4× 20 0.5× 14 1.0× 5 0.5× 34 257
Chin-Cheng Lin 261 1.0× 161 1.3× 11 0.3× 8 0.6× 5 0.5× 38 270
H. P. Heinig 331 1.2× 149 1.2× 45 1.2× 35 2.5× 17 1.7× 21 351
Sandra Pott 229 0.9× 141 1.2× 19 0.5× 44 3.1× 7 0.7× 39 276
G. E. Karadzhov 230 0.9× 130 1.1× 42 1.1× 15 1.1× 13 1.3× 27 259

Countries citing papers authored by Д. В. Прохоров

Since Specialization
Citations

This map shows the geographic impact of Д. В. Прохоров'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 Д. В. Прохоров with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Д. В. Прохоров more than expected).

Fields of papers citing papers by Д. В. Прохоров

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Д. В. Прохоров. 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 Д. В. Прохоров. The network helps show where Д. В. Прохоров may publish in the future.

Co-authorship network of co-authors of Д. В. Прохоров

This figure shows the co-authorship network connecting the top 25 collaborators of Д. В. Прохоров. A scholar is included among the top collaborators of Д. В. Прохоров based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Д. В. Прохоров. Д. В. Прохоров is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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