Igor Krasovsky

1.4k citations
28 papers · 620 · h-index 15

Impact in

Papers in

Igor Krasovsky

26 papers receiving 600 citations

Peers

Igor Krasovsky
Comparison fields: 5 of 37
  • Statistics and Probability 344
  • Discrete Mathematics and Combinatorics 123
  • Mathematical Physics 315
  • Applied Mathematics 159
  • Geometry and Topology 93
Replace Estelle Basor with:
Estelle Basor United States
N. S. Witte Australia
Tom Claeys Belgium
Bertrand Eynard France
Taro Nagao Japan
Jens Marklof United Kingdom
Paul Zinn-Justin France
A. V. Kitaev Russia
Andrei Kapaev Russia
Тамара Грава Italy
Igor Krasovsky relative to Estelle Basor United States Estelle Basor's profile →
Citations per field
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Estelle Basor · 1×
Citations per year

Countries citing papers authored by Igor Krasovsky

Since Specialization
Citations

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

Fields of papers citing papers by Igor Krasovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Igor Krasovsky, 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 Igor Krasovsky Line = papers co-authored together Igor Krasovsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011123
2 201386
3 200855
4
200444
5 200939
6 200737
7 200637
8 201534
9 200324
10 201020
11 200217
12 200316
13 201115
14 200014
15 199914
16 200410
17 20039
18 20238
19 20185
20 20233

About Igor Krasovsky

Igor Krasovsky is a scholar working on Mathematical Physics, Statistics and Probability, Applied Mathematics, Atomic and Molecular Physics, and Optics and Discrete Mathematics and Combinatorics, having authored 28 papers that have together received 620 indexed citations. Recurring topics across this work include Random Matrices and Applications (14 papers), Spectral Theory in Mathematical Physics (9 papers), Mathematical functions and polynomials (7 papers), Advanced Combinatorial Mathematics (6 papers), Matrix Theory and Algorithms (5 papers), Advanced Algebra and Geometry (4 papers), Quantum chaos and dynamical systems (3 papers) and Stochastic processes and statistical mechanics (3 papers). The work is most often cited by research in Statistics and Probability (344 citations), Discrete Mathematics and Combinatorics (123 citations), Mathematical Physics (315 citations), Applied Mathematics (159 citations) and Geometry and Topology (93 citations). Igor Krasovsky has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Percy Deift, Alexander Its, Tom Claeys, A. R. Its, Svetlana Jitomirskaya, Xin Zhou, Evgeny Korotyaev, Thomas Bothner, G. M. Oleĭnik and I. N. Frolov. Their work appears in journals such as Communications in Mathematical Physics, Communications on Pure and Applied Mathematics, Duke Mathematical Journal, Journal of Computational and Applied Mathematics and International Mathematics Research Notices.

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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