Alexander E. Litvak
- Applied Mathematics top 2%
- Statistics and Probability top 2%
- Mathematical Physics top 10%
- Computational Mechanics top 10%
- Geometry and Topology top 5%
- Co-authors
- Alain PajorNicole Tomczak-JaegermannRadosław AdamczakY. GordonGideon SchechtmanVitali MilmanStanisław J. SzarekWojciech Banaszczyk
- Topics
- Point processes and geometric inequalities (30 papers)Random Matrices and Applications (14 papers)Markov Chains and Monte Carlo Methods (8 papers)
In The Last Decade
Alexander E. Litvak
41 papers receiving 403 citations
Peers
Comparison fields: 5 of 46
- Applied Mathematics 254
- Statistics and Probability 182
- Mathematical Physics 96
- Computational Mechanics 82
- Geometry and Topology 75
Countries citing papers authored by Alexander E. Litvak
This map shows the geographic impact of Alexander E. Litvak'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 Alexander E. Litvak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander E. Litvak more than expected).
Fields of papers citing papers by Alexander E. Litvak
This network shows the impact of papers produced by Alexander E. Litvak. 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 Alexander E. Litvak. The network helps show where Alexander E. Litvak may publish in the future.
Co-authorship network of co-authors of Alexander E. Litvak
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander E. Litvak. A scholar is included among the top collaborators of Alexander E. Litvak 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 Alexander E. Litvak. Alexander E. Litvak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 12 | |
| 3 | On the interval of fluctuation of the singular values of random matrices | 4 |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 14 | |
| 7 | Quantitative estimates of the convergence of the empirical covariance matrix in Log-concave Ensembles | 75 |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 27 | |
| 11 | 4 | |
| 12 | 12 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 8 | |
| 16 | 3 | |
| 17 | 11 | |
| 18 | 10 | |
| 19 | 3 | |
| 20 | 42 |
About Alexander E. Litvak
Alexander E. Litvak is a scholar working on Applied Mathematics, Statistics and Probability and Mathematical Physics, having authored 43 papers that have together received 443 indexed citations. Recurring topics across this work include Point processes and geometric inequalities (30 papers), Random Matrices and Applications (14 papers) and Markov Chains and Monte Carlo Methods (8 papers). The work is most often cited by research in Applied Mathematics (254 citations), Statistics and Probability (182 citations) and Mathematical Physics (96 citations). Alexander E. Litvak has collaborated with scholars based in Canada, France and Israel. Frequent co-authors include Alain Pajor, Nicole Tomczak-Jaegermann, Radosław Adamczak, Y. Gordon, Gideon Schechtman, Vitali Milman, Stanisław J. Szarek, Wojciech Banaszczyk, Elisabeth M. Werner and Carsten Schütt. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Advances in Mathematics and Journal of Functional Analysis.
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.