R. L. Dobrushin

6.3k total citations
81 papers, 3.5k citations indexed

About

R. L. Dobrushin is a scholar working on Mathematical Physics, Condensed Matter Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, R. L. Dobrushin has authored 81 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Mathematical Physics, 23 papers in Condensed Matter Physics and 16 papers in Statistical and Nonlinear Physics. Recurrent topics in R. L. Dobrushin's work include Stochastic processes and statistical mechanics (25 papers), Theoretical and Computational Physics (23 papers) and advanced mathematical theories (11 papers). R. L. Dobrushin is often cited by papers focused on Stochastic processes and statistical mechanics (25 papers), Theoretical and Computational Physics (23 papers) and advanced mathematical theories (11 papers). R. L. Dobrushin collaborates with scholars based in Russia, Italy and Ukraine. R. L. Dobrushin's co-authors include Péter Major, Senya Shlosman, B. Tsybakov, J. Fritz, Roman Kotecký, R. A. Minlos, Я.Г. Синай, David Griffeath, C. Boldrighini and B. Tirozzi and has published in prestigious journals such as IEEE Transactions on Information Theory, Communications in Mathematical Physics and Lecture notes in mathematics.

In The Last Decade

R. L. Dobrushin

78 papers receiving 3.1k citations

Peers

R. L. Dobrushin
Comparison fields: 5 of 95
  • Mathematical Physics 1.5k
  • Condensed Matter Physics 1.0k
  • Statistics and Probability 886
  • Statistical and Nonlinear Physics 725
  • Finance 606
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Citations per field, relative to R. L. Dobrushin
R. L. Dobrushin · 1×
Citations per year, relative to R. L. Dobrushin
R. L. Dobrushin · 1×

Countries citing papers authored by R. L. Dobrushin

Since Specialization
Citations

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

Fields of papers citing papers by R. L. Dobrushin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. L. Dobrushin. 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 R. L. Dobrushin. The network helps show where R. L. Dobrushin may publish in the future.

Co-authorship network of co-authors of R. L. Dobrushin

This figure shows the co-authorship network connecting the top 25 collaborators of R. L. Dobrushin. A scholar is included among the top collaborators of R. L. Dobrushin 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 R. L. Dobrushin. R. L. Dobrushin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 22
2 12
3 18
4 26
5
Topics in statistical and theoretical physics : F.A. Berezin memorial volume
0
6
Contemporary mathematical physics : F.A. Berezin memorial volume
1
7 16
8 11
9 149
10 8
11 78
12
Multicomponent Random Systems
100
13 159
14 4
15 168
16 108
17
Existence of a Phase Transition in the Two-Dimensional and Three-Dimensional Ising Models
18
18 2
19
Mathematical Problems in the Shannon Theory of Optimal Coding of Information
34
20 167

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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