Davar Khoshnevisan
- Finance top 0.5%
- Mathematical Physics top 0.5%
- Computational Theory and Mathematics top 2%
- Applied Mathematics top 5%
- Statistics and Probability top 2%
- Co-authors
- Yimin XiaoMohammud FoondunThomas M. LewisZhan ShiRobert C. DalangRichard F. BassDaniel ConusKunwoo Kim
- Topics
- Stochastic processes and financial applications (75 papers)Stochastic processes and statistical mechanics (74 papers)Mathematical Dynamics and Fractals (28 papers)
- Journals
- Lecture notes in mathematicsTransactions of the American Mathematical SocietyJournal of Functional Analysis
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Davar Khoshnevisan
96 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 64
- Finance 1.1k
- Mathematical Physics 1.1k
- Computational Theory and Mathematics 255
- Applied Mathematics 201
- Statistics and Probability 185
Countries citing papers authored by Davar Khoshnevisan
This map shows the geographic impact of Davar Khoshnevisan'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 Davar Khoshnevisan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davar Khoshnevisan more than expected).
Fields of papers citing papers by Davar Khoshnevisan
This network shows the impact of papers produced by Davar Khoshnevisan. 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 Davar Khoshnevisan. The network helps show where Davar Khoshnevisan may publish in the future.
Co-authorship network of co-authors of Davar Khoshnevisan
This figure shows the co-authorship network connecting the top 25 collaborators of Davar Khoshnevisan. A scholar is included among the top collaborators of Davar Khoshnevisan 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 Davar Khoshnevisan. Davar Khoshnevisan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 11 | |
| 5 | 8 | |
| 6 | 97 | |
| 7 | 20 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 21 | |
| 12 | 18 | |
| 13 | 16 | |
| 14 | 9 | |
| 15 | 31 | |
| 16 | Chung's law of the iterated logarithm for iterated brownian motion | 32 |
| 17 | 6 | |
| 18 | Intersection Local Times and Tanaka Formulas | 23 |
| 19 | 12 | |
| 20 | 4 |
About Davar Khoshnevisan
Davar Khoshnevisan is a scholar working on Mathematical Physics, Finance and Statistics and Probability, having authored 100 papers that have together received 1.5k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (75 papers), Stochastic processes and statistical mechanics (74 papers) and Mathematical Dynamics and Fractals (28 papers). The work is most often cited by research in Mathematical Physics (1.1k citations), Finance (1.1k citations) and Modeling and Simulation (128 citations). Davar Khoshnevisan has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Yimin Xiao, Mohammud Foondun, Thomas M. Lewis, Zhan Shi, Robert C. Dalang, Richard F. Bass, Daniel Conus, Kunwoo Kim, Eulàlia Nualart and Carl Mueller. Their work appears in journals such as Lecture notes in mathematics, Transactions of the American Mathematical Society 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.