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
- Advanced Banach Space Theory
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)Jon Aaronson (3 shared papers)Theodore P. Hill (4 shared papers)Michaël Keane (2 shared papers)Robert Burton (1 shared paper)Herold Dehling (1 shared paper)Bernard Weiss (1 shared paper)Isaac Meilijson (4 shared papers)
- Journals
- The Annals of Probability (5 papers)Proceedings of the American Mathematical Society (4 papers)Journal of Applied Probability (2 papers)The American Statistician (2 papers)Israel Journal of Mathematics (2 papers)
- Partner nations
- IsraelUnited StatesNetherlands
In The Last Decade
David Gilat
27 papers receiving 225 citations
Peers
Comparison fields: 5 of 48
- Finance 127
- Mathematical Physics 90
- Statistics and Probability 70
- Management Science and Operations Research 64
- Applied Mathematics 51
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1978 | 57 | |
| 2 | 1996 | 44 | |
| 3 | 1977 | 22 | |
| 4 | 1989 | 19 | |
| 5 | 1986 | 17 | |
| 6 | 1992 | 14 | |
| 7 | 1992 | 11 | |
| 8 | 1978 | 10 | |
| 9 | 1988 | 8 | |
| 10 | 1988 | 8 | |
| 11 | 2009 | 7 | |
| 12 | 1986 | 7 | |
| 13 | 1987 | 6 | |
| 14 | 2012 | 5 | |
| 15 | 1977 | 5 | |
| 16 | 1996 | 4 | |
| 17 | 1993 | 3 | |
| 18 | 1972 | 3 | |
| 19 | 1971 | 3 | |
| 20 | On strong laws for generalized $L$-statistics with dependent data | 1994 | 2 |
About David Gilat
David Gilat is a scholar working on Management Science and Operations Research, Finance, Mathematical Physics, Applied Mathematics and Statistics and Probability, having authored 28 papers that have together received 265 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), Statistical Distribution Estimation and Applications (3 papers), Analytic Number Theory Research (3 papers), Advanced Harmonic Analysis Research (3 papers), advanced mathematical theories (3 papers) and Mathematical and Theoretical Analysis (2 papers). The work is most often cited by research in Finance (127 citations), Mathematical Physics (90 citations), Statistics and Probability (70 citations), Management Science and Operations Research (64 citations) and Applied Mathematics (51 citations). David Gilat has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Lester E. Dubins, Jon Aaronson, Theodore P. Hill, Michaël Keane, Robert Burton, Herold Dehling, Bernard Weiss, Isaac Meilijson, Vincent de Valk and Roelof Helmers. Their work appears in journals such as The Annals of Probability, Proceedings of the American Mathematical Society, Journal of Applied Probability, The American Statistician and Israel Journal of 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.