Tomer Shushi
- Management Science and Operations Research top 5%
- Finance top 5%
- Statistics and Probability top 5%
- Economics and Econometrics
- Atomic and Molecular Physics, and Optics
- Co-authors
- Zinoviy LandsmanUdi MakovYakir AharonovJing YaoEliahu CohenRami YosefDaniele C. StruppaIrene Sabadini
- Topics
- Risk and Portfolio Optimization (18 papers)Quantum Mechanics and Applications (14 papers)Statistical Distribution Estimation and Applications (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaPhysics Letters APhysica A Statistical Mechanics and its Applications
- Partner nations
- IsraelUnited StatesItaly
In The Last Decade
Tomer Shushi
40 papers receiving 244 citations
Peers
Comparison fields: 5 of 47
- Management Science and Operations Research 116
- Finance 115
- Statistics and Probability 108
- Economics and Econometrics 53
- Atomic and Molecular Physics, and Optics 35
Countries citing papers authored by Tomer Shushi
This map shows the geographic impact of Tomer Shushi'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 Tomer Shushi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomer Shushi more than expected).
Fields of papers citing papers by Tomer Shushi
This network shows the impact of papers produced by Tomer Shushi. 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 Tomer Shushi. The network helps show where Tomer Shushi may publish in the future.
Co-authorship network of co-authors of Tomer Shushi
This figure shows the co-authorship network connecting the top 25 collaborators of Tomer Shushi. A scholar is included among the top collaborators of Tomer Shushi 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 Tomer Shushi. Tomer Shushi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 7 | |
| 13 | 9 | |
| 14 | Risk Management with Tail Conditional Certainty Equivalents | 1 |
| 15 | 7 | |
| 16 | 23 | |
| 17 | 0 | |
| 18 | 12 | |
| 19 | 28 | |
| 20 | 30 |
About Tomer Shushi
Tomer Shushi is a scholar working on Management Science and Operations Research, Computational Mathematics and Finance, having authored 49 papers that have together received 251 indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (18 papers), Quantum Mechanics and Applications (14 papers) and Statistical Distribution Estimation and Applications (11 papers). The work is most often cited by research in Statistics and Probability (108 citations), Computational Mathematics (7 citations) and Finance (115 citations). Tomer Shushi has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Zinoviy Landsman, Udi Makov, Yakir Aharonov, Jing Yao, Eliahu Cohen, Rami Yosef, Daniele C. Struppa, Irene Sabadini, Jeff Tollaksen and Andrew N. Jordan. Their work appears in journals such as SHILAP Revista de lepidopterología, Physics Letters A and Physica A Statistical Mechanics and its Applications.
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.