G. Kallianpur
- Finance top 1%
- Mathematical Physics top 2%
- Applied Mathematics top 2%
- Statistics and Probability top 2%
- Computational Theory and Mathematics top 2%
- Co-authors
- Harry DymH. P. McKeanRajeeva L. KarandikarHiroshi KunitaMasatoshi FujisakiCharlotte StriebelHerbert RobbinsV. Mandrekar
- Topics
- Stochastic processes and financial applications (31 papers)advanced mathematical theories (15 papers)Stability and Controllability of Differential Equations (12 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Statistical AssociationBiometrics
- Partner nations
- United StatesIndiaMexico
In The Last Decade
G. Kallianpur
70 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 91
- Finance 639
- Mathematical Physics 518
- Applied Mathematics 329
- Statistics and Probability 262
- Computational Theory and Mathematics 239
Countries citing papers authored by G. Kallianpur
This map shows the geographic impact of G. Kallianpur'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 G. Kallianpur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Kallianpur more than expected).
Fields of papers citing papers by G. Kallianpur
This network shows the impact of papers produced by G. Kallianpur. 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 G. Kallianpur. The network helps show where G. Kallianpur may publish in the future.
Co-authorship network of co-authors of G. Kallianpur
This figure shows the co-authorship network connecting the top 25 collaborators of G. Kallianpur. A scholar is included among the top collaborators of G. Kallianpur 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 G. Kallianpur. G. Kallianpur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Stochastics in Finite and Infinite Dimensions | 0 |
| 2 | 10 | |
| 3 | 16 | |
| 4 | 34 | |
| 5 | 26 | |
| 6 | 23 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | Propagation of chaos and the McKean-Vlasov equation in duals of nuclear spaces. Technical report | 3 |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 12 | |
| 13 | 3 | |
| 14 | 109 | |
| 15 | 6 | |
| 16 | 4 | |
| 17 | 15 | |
| 18 | 193 | |
| 19 | 19 | |
| 20 | 29 |
About G. Kallianpur
G. Kallianpur is a scholar working on Mathematical Physics, Finance and Modeling and Simulation, having authored 75 papers that have together received 1.6k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (31 papers), advanced mathematical theories (15 papers) and Stability and Controllability of Differential Equations (12 papers). The work is most often cited by research in Finance (639 citations), Mathematical Physics (518 citations) and Statistics and Probability (262 citations). G. Kallianpur has collaborated with scholars based in United States, India and Mexico. Frequent co-authors include Harry Dym, H. P. McKean, Rajeeva L. Karandikar, Hiroshi Kunita, Masatoshi Fujisaki, Charlotte Striebel, Herbert Robbins, V. Mandrekar, P. R. Krishnaiah and Jayanta Kumar Ghosh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Biometrics.
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.