Michael Anshelevich

24 papers receiving 211 citations

Peers

Michael Anshelevich
Comparison fields: 5 of 33
  • Statistics and Probability 150
  • Discrete Mathematics and Combinatorics 49
  • Mathematical Physics 98
  • Algebra and Number Theory 47
  • Applied Mathematics 68
Replace Takahiro Hasebe with:
Takahiro Hasebe Japan
Naofumi Muraki Japan
Joseph Najnudel United Kingdom
Serban T. Belinschi France
Benedek Valkó United States
Nizar Demni France
Michael Schürmann Germany
Ju. Linnik Russia
Yvik Swan Belgium
Balázs Ráth Hungary
Michael Anshelevich relative to Takahiro Hasebe Japan Takahiro Hasebe's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Anshelevich

Since Specialization
Citations

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

Fields of papers citing papers by Michael Anshelevich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Michael Anshelevich, 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 Michael Anshelevich Line = papers co-authored together Michael Anshelevich links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200130
2
Introduction to orthogonal polynomials
200324
3
Free martingale polynomials
201222
4 200915
5 200213
6 200813
7 200512
8 200912
9 201112
10 200012
11 20099
12 20048
13
1 CONVOLUTION POWERS IN THE OPERATOR-VALUED FRAMEWORK
20167
14 20146
15 20065
16 20105
17 20005
18 20105
19 20163
20 20163

About Michael Anshelevich

Michael Anshelevich is a scholar working on Statistics and Probability, Mathematical Physics, Algebra and Number Theory, Discrete Mathematics and Combinatorics and Finance, having authored 25 papers that have together received 230 indexed citations. Recurring topics across this work include Random Matrices and Applications (18 papers), Stochastic processes and financial applications (5 papers), Advanced Combinatorial Mathematics (5 papers), Advanced Topics in Algebra (5 papers), Advanced Mathematical Identities (4 papers), Advanced Operator Algebra Research (4 papers), Algebraic structures and combinatorial models (3 papers) and Stochastic processes and statistical mechanics (3 papers). The work is most often cited by research in Statistics and Probability (150 citations), Discrete Mathematics and Combinatorics (49 citations), Mathematical Physics (98 citations), Algebra and Number Theory (47 citations) and Applied Mathematics (68 citations). Michael Anshelevich has collaborated with scholars based in United States, Bulgaria and Czechia. Frequent co-authors include Ambar N. Sengupta, Serban T. Belinschi, Mihai Popa, Thierry H. Le Jemtel, Edward G. Effros, Philip Green, Joyce L. Burcham, Jamshid Shirani, John D. Williams and Alexandru Nica. Their work appears in journals such as Journal of Functional Analysis, Documenta Mathematica, Journal für die reine und angewandte Mathematik (Crelles Journal), The American Journal of Cardiology and Advances in 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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