David Gilat
Impact in
- Finance top 5%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Mathematical Physics top 10%
- Stochastic processes and statistical mechanics
- Mathematical Dynamics and Fractals
Papers in
-
- Probability and Risk Models 6
- Finance 10
- Stochastic processes and financial applications 7
- Financial Risk and Volatility Modeling 4
- Co-authors
- Lester E. Dubins (3 shared papers)Theodore P. Hill (4 shared papers)Jon Aaronson (3 shared papers)Michaël Keane (2 shared papers)Herold Dehling (1 shared paper)Bernard Weiss (1 shared paper)Robert Burton (1 shared paper)Vincent de Valk (1 shared paper)
- Journals
- The Annals of Probability (5 papers)Proceedings of the American Mathematical Society (4 papers)Journal of Theoretical Probability (2 papers)Israel Journal of Mathematics (2 papers)Journal of Applied Probability (2 papers)
- Partner nations
- IsraelUnited StatesNetherlands
In The Last Decade
David Gilat
24 papers receiving 175 citations
Peers
Comparison fields: 5 of 45
- Finance 99
- Mathematical Physics 73
- Statistics and Probability 56
- Applied Mathematics 44
- Management Science and Operations Research 47
Countries citing papers authored by David Gilat
This map shows the geographic impact of David Gilat'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 David Gilat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Gilat more than expected).
Fields of papers citing papers by David Gilat
This network shows the impact of papers produced by David Gilat. 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 David Gilat. The network helps show where David Gilat may publish in the future.
Co-authors
The 12 scholars most cited alongside David Gilat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1978 | 42 | |
| 2 | 1996 | 38 | |
| 3 | 1977 | 19 | |
| 4 | 1989 | 16 | |
| 5 | 1986 | 13 | |
| 6 | 1992 | 12 | |
| 7 | 1978 | 9 | |
| 8 | 1992 | 8 | |
| 9 | 2009 | 7 | |
| 10 | 1988 | 6 | |
| 11 | 1986 | 5 | |
| 12 | 1987 | 5 | |
| 13 | 1996 | 4 | |
| 14 | 1977 | 4 | |
| 15 | 2012 | 3 | |
| 16 | 1971 | 3 | |
| 17 | 1993 | 3 | |
| 18 | 2017 | 2 | |
| 19 | On strong laws for generalized $L$-statistics with dependent data | 1994 | 2 |
| 20 | 1971 | 2 |
About David Gilat
David Gilat is a scholar working on Management Science and Operations Research, Finance, Applied Mathematics, Mathematical Physics and Statistics and Probability, having authored 27 papers that have together received 210 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (7 papers), Probability and Risk Models (6 papers), Financial Risk and Volatility Modeling (4 papers), Analytic Number Theory Research (3 papers), advanced mathematical theories (3 papers), Advanced Harmonic Analysis Research (3 papers), Statistical Distribution Estimation and Applications (3 papers) and Optimization and Search Problems (2 papers). The work is most often cited by research in Finance (99 citations), Mathematical Physics (73 citations), Statistics and Probability (56 citations), Applied Mathematics (44 citations) and Management Science and Operations Research (47 citations). David Gilat has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Lester E. Dubins, Theodore P. Hill, Jon Aaronson, Michaël Keane, Herold Dehling, Bernard Weiss, Robert Burton, Vincent de Valk, Isaac Meilijson and William D. Sudderth. Their work appears in journals such as The Annals of Probability, Proceedings of the American Mathematical Society, Journal of Theoretical Probability, Israel Journal of Mathematics and Journal of Applied Probability.
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.