David Applebaum
Impact in
- Finance top 0.5%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Modeling and Simulation top 0.5%
- Fractional Differential Equations Solutions
Papers in
-
- Stochastic processes and statistical mechanics 15
- advanced mathematical theories 14
- Mathematical Dynamics and Fractals 12
- Finance 36
- Stochastic processes and financial applications 36
- Co-authors
- R. L. Hudson (2 shared papers)Hiroshi Kunita (2 shared papers)James T. Wassell (1 shared paper)Jiang-Lun Wu (1 shared paper)Adrienne W. Kemp (1 shared paper)Anne Estrade (1 shared paper)Rodrigo Bañuelos (2 shared papers)Jan van Neerven (2 shared papers)
- Journals
- Lecture notes in mathematics (7 papers)Bulletin of the London Mathematical Society (3 papers)Communications in Mathematical Physics (3 papers)Journal of Applied Probability (3 papers)Letters in Mathematical Physics (2 papers)
- Partner nations
- United KingdomFranceItaly
In The Last Decade
David Applebaum
85 papers receiving 3.0k citations
David Applebaum's Hit Papers
Peers
Comparison fields: 5 of 120
- Finance 1.4k
- Modeling and Simulation 435
- Mathematical Physics 840
- Applied Mathematics 890
- Statistics and Probability 330
Countries citing papers authored by David Applebaum
This map shows the geographic impact of David Applebaum'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 Applebaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Applebaum more than expected).
Fields of papers citing papers by David Applebaum
This network shows the impact of papers produced by David Applebaum. 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 Applebaum. The network helps show where David Applebaum may publish in the future.
Co-authors
The 16 scholars most cited alongside David Applebaum, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Lévy Processes and Stochastic Calculus Hit paper breakdown → | 2004 | 1333 |
| 2 | Lévy Processes and Stochastic Calculus Hit paper breakdown → | 2009 | 902 |
| 3 | Levy Processes—From Probability to Finance and Quantum Groups | 2004 | 151 |
| 4 | 2009 | 96 | |
| 5 | 1984 | 84 | |
| 6 | 2008 | 56 | |
| 7 | 2010 | 52 | |
| 8 | 1997 | 50 | |
| 9 | 1993 | 47 | |
| 10 | 2000 | 32 | |
| 11 | 2006 | 25 | |
| 12 | 2014 | 19 | |
| 13 | 2000 | 18 | |
| 14 | 1997 | 16 | |
| 15 | 2006 | 16 | |
| 16 | 2015 | 15 | |
| 17 | 2009 | 15 | |
| 18 | 1986 | 14 | |
| 19 | Levy processes - from probability theory to finance and quantum groups | 2004 | 14 |
| 20 | 1987 | 12 |
About David Applebaum
David Applebaum is a scholar working on Mathematical Physics, Finance, Statistics and Probability, Applied Mathematics and Geometry and Topology, having authored 92 papers that have together received 3.2k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (36 papers), Random Matrices and Applications (16 papers), Stochastic processes and statistical mechanics (15 papers), advanced mathematical theories (14 papers), Quantum Information and Cryptography (12 papers), Mathematical Dynamics and Fractals (12 papers), Quantum Mechanics and Applications (10 papers) and Geometric Analysis and Curvature Flows (9 papers). The work is most often cited by research in Finance (1.4k citations), Modeling and Simulation (435 citations), Mathematical Physics (840 citations), Applied Mathematics (890 citations) and Statistics and Probability (330 citations). David Applebaum has collaborated with scholars based in United Kingdom, France and Italy. Frequent co-authors include R. L. Hudson, Hiroshi Kunita, James T. Wassell, Jiang-Lun Wu, Adrienne W. Kemp, Anne Estrade, Rodrigo Bañuelos, Jan van Neerven, Jonathan H. Manton and Nicolas Le Bihan. Their work appears in journals such as Lecture notes in mathematics, Bulletin of the London Mathematical Society, Communications in Mathematical Physics, Journal of Applied Probability and Letters in Mathematical Physics.
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.