Sasha Sodin
- Statistics and Probability top 5%
- Mathematical Physics top 10%
- Applied Mathematics top 10%
- Discrete Mathematics and Combinatorics top 10%
- Electrical and Electronic Engineering
- Co-authors
- Alexander ElgartEmanuel MilmanSimon LitsynShachar LovettVadim GorinMargherita DisertoriShiri Artstein-AvidanVitali Milman
- Topics
- Spectral Theory in Mathematical Physics (7 papers)Random Matrices and Applications (5 papers)Power Line Communications and Noise (4 papers)
- Journals
- IEEE Transactions on CommunicationsJournal of Statistical PhysicsJournal of Functional Analysis
- Partner nations
- IsraelUnited KingdomUnited States
In The Last Decade
Sasha Sodin
22 papers receiving 163 citations
Peers
Comparison fields: 5 of 33
- Statistics and Probability 95
- Mathematical Physics 83
- Applied Mathematics 37
- Discrete Mathematics and Combinatorics 25
- Electrical and Electronic Engineering 24
Countries citing papers authored by Sasha Sodin
This map shows the geographic impact of Sasha Sodin'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 Sasha Sodin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sasha Sodin more than expected).
Fields of papers citing papers by Sasha Sodin
This network shows the impact of papers produced by Sasha Sodin. 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 Sasha Sodin. The network helps show where Sasha Sodin may publish in the future.
Co-authorship network of co-authors of Sasha Sodin
This figure shows the co-authorship network connecting the top 25 collaborators of Sasha Sodin. A scholar is included among the top collaborators of Sasha Sodin 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 Sasha Sodin. Sasha Sodin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | The trimmed Anderson model at strong disorder: localisation and its breakup | 6 |
| 8 | 12 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 67 | |
| 16 | 13 | |
| 17 | 11 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 15 |
About Sasha Sodin
Sasha Sodin is a scholar working on Discrete Mathematics and Combinatorics, Mathematical Physics and Statistics and Probability, having authored 23 papers that have together received 178 indexed citations. Recurring topics across this work include Spectral Theory in Mathematical Physics (7 papers), Random Matrices and Applications (5 papers) and Power Line Communications and Noise (4 papers). The work is most often cited by research in Statistics and Probability (95 citations), Mathematical Physics (83 citations) and Discrete Mathematics and Combinatorics (25 citations). Sasha Sodin has collaborated with scholars based in Israel, United Kingdom and United States. Frequent co-authors include Alexander Elgart, Emanuel Milman, Simon Litsyn, Shachar Lovett, Vadim Gorin, Margherita Disertori, Shiri Artstein-Avidan, Vitali Milman, Itaï Benjamini and Oded Schramm. Their work appears in journals such as IEEE Transactions on Communications, Journal of Statistical Physics 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.