D. V. Chudnovsky

1.9k citations
59 papers · 736 · h-index 15

Impact in

Papers in

D. V. Chudnovsky

55 papers receiving 628 citations

Peers

D. V. Chudnovsky
Comparison fields: 5 of 79
  • Geometry and Topology 225
  • Algebra and Number Theory 100
  • Statistical and Nonlinear Physics 211
  • Discrete Mathematics and Combinatorics 47
  • Mathematical Physics 79
Replace G. V. Chudnovsky with:
G. V. Chudnovsky United States
Mark van Hoeij United States
Lorenzo Tancredi Germany
Werner Greub Canada
Richard Evan Schwartz United States
Jack Levine United States
Andreas von Manteuffel Germany
Vladimir P. Gerdt Russia
Edwin Barnes United States
Horst Knörrer Switzerland
D. V. Chudnovsky relative to G. V. Chudnovsky United States G. V. Chudnovsky's profile →
Citations per field
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G. V. Chudnovsky · 1×
Citations per year

Countries citing papers authored by D. V. Chudnovsky

Since Specialization
Citations

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

Fields of papers citing papers by D. V. Chudnovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside D. V. Chudnovsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. V. Chudnovsky Line = papers co-authored together D. V. Chudnovsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986137
2 200277
3
Collected scientific works
198268
4 198842
5 198340
6 198634
7 197923
8 198222
9 198020
10 198719
11 198717
12 198116
13 199115
14 198514
15 198914
16 199912
17 198411
18 197911
19 201010
20 19819

About D. V. Chudnovsky

D. V. Chudnovsky is a scholar working on Statistical and Nonlinear Physics, Geometry and Topology, Mathematical Physics, Algebra and Number Theory and Computational Theory and Mathematics, having authored 59 papers that have together received 736 indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (23 papers), Nonlinear Photonic Systems (13 papers), Algebraic structures and combinatorial models (10 papers), Polynomial and algebraic computation (7 papers), Advanced Topics in Algebra (6 papers), Advanced Algebra and Geometry (5 papers), Algebraic Geometry and Number Theory (5 papers) and Molecular spectroscopy and chirality (4 papers). The work is most often cited by research in Geometry and Topology (225 citations), Algebra and Number Theory (100 citations), Statistical and Nonlinear Physics (211 citations), Discrete Mathematics and Combinatorics (47 citations) and Mathematical Physics (79 citations). D. V. Chudnovsky has collaborated with scholars based in United States, France and Russia. Frequent co-authors include G. V. Chudnovsky, Dariusz Czarkowski, Ivan Selesnick, M. Tabor, Richard D. Jenks, Melvyn B. Nathanson, Harvey Cohn, Edwin Hewitt and Richard S. Meltzer. Their work appears in journals such as Physics Letters A, Proceedings of the National Academy of Sciences, Journal of Complexity, Letters in Mathematical Physics and Advances in Applied Mathematics.

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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