Dmitri Finkelshtein

100 total papers · 803 total citations
43 papers, 304 citations indexed

About

Dmitri Finkelshtein is a scholar working on Mathematical Physics, Statistics and Probability and Applied Mathematics. According to data from OpenAlex, Dmitri Finkelshtein has authored 43 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Mathematical Physics, 12 papers in Statistics and Probability and 9 papers in Applied Mathematics. Recurrent topics in Dmitri Finkelshtein's work include Stochastic processes and statistical mechanics (19 papers), advanced mathematical theories (9 papers) and Markov Chains and Monte Carlo Methods (9 papers). Dmitri Finkelshtein is often cited by papers focused on Stochastic processes and statistical mechanics (19 papers), advanced mathematical theories (9 papers) and Markov Chains and Monte Carlo Methods (9 papers). Dmitri Finkelshtein collaborates with scholars based in Germany, United Kingdom and Ukraine. Dmitri Finkelshtein's co-authors include Yuri Kondratiev, Oleksandr Kutoviy, Yuri G. Kondratiev, Otso Ovaskainen, Stephen J. Cornell, Benjamin M. Bolker, Panu Somervuo, Eugene Lytvynov, Yuri Kozitsky and Е. Г. Жижина and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Mathematical Analysis and Applications.

In The Last Decade

Dmitri Finkelshtein

38 papers receiving 275 citations

Author Peers

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

Author						Papers	Cites
Dmitri Finkelshtein	149	89	72	60	56	43	304
Oleksandr Kutoviy	191 1.3×	40 0.4×	40 0.6×	76 1.3×	64 1.1×	24	284
Kenneth J. Hochberg	206 1.4×	15 0.2×	48 0.7×	57 0.9×	71 1.3×	23	364
Bertrand Cloez	111 0.7×	37 0.4×	19 0.3×	45 0.8×	30 0.5×	20	224
Roger Tribe	215 1.4×	24 0.3×	24 0.3×	73 1.2×	19 0.3×	32	361
Yuri Bakhtin	184 1.2×	13 0.1×	14 0.2×	80 1.3×	94 1.7×	44	338
Carles Rovira	83 0.6×	21 0.2×	88 1.2×	21 0.3×	31 0.6×	38	332
Yuri Kozitsky	175 1.2×	23 0.3×	17 0.2×	65 1.1×	77 1.4×	60	261
Katarzyna Pichór	109 0.7×	215 2.4×	191 2.7×	8 0.1×	32 0.6×	16	364
Joaquín Fontbona	88 0.6×	15 0.2×	27 0.4×	66 1.1×	45 0.8×	32	224
Gaël Raoul	50 0.3×	166 1.9×	203 2.8×	16 0.3×	30 0.5×	12	364

Countries citing papers authored by Dmitri Finkelshtein

Since Specialization

Citations

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

Fields of papers citing papers by Dmitri Finkelshtein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitri Finkelshtein

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitri Finkelshtein. A scholar is included among the top collaborators of Dmitri Finkelshtein 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 Dmitri Finkelshtein. Dmitri Finkelshtein 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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