Vivek S. Borkar
- Computer Networks and Communications top 0.5%
- Control and Systems Engineering top 0.5%
- Artificial Intelligence top 0.5%
- Management Science and Operations Research top 0.2%
- Electrical and Electronic Engineering top 5%
- Co-authors
- Sanjoy K. MitterMichael S. BranickyMrinal K. GhoshSean MeynPravin VaraiyaAri ArapostathisSteven I. MarcusE. Fernández-Gaucherand
- Topics
- Stochastic processes and financial applications (59 papers)Markov Chains and Monte Carlo Methods (36 papers)Reinforcement Learning in Robotics (33 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationIEEE Transactions on Automatic Control
- Partner nations
- IndiaUnited StatesFrance
In The Last Decade
Vivek S. Borkar
243 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Computer Networks and Communications 2.0k
- Control and Systems Engineering 1.7k
- Artificial Intelligence 1.7k
- Management Science and Operations Research 1.4k
- Electrical and Electronic Engineering 1.2k
Countries citing papers authored by Vivek S. Borkar
This map shows the geographic impact of Vivek S. Borkar'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 Vivek S. Borkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vivek S. Borkar more than expected).
Fields of papers citing papers by Vivek S. Borkar
This network shows the impact of papers produced by Vivek S. Borkar. 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 Vivek S. Borkar. The network helps show where Vivek S. Borkar may publish in the future.
Co-authorship network of co-authors of Vivek S. Borkar
This figure shows the co-authorship network connecting the top 25 collaborators of Vivek S. Borkar. A scholar is included among the top collaborators of Vivek S. Borkar 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 Vivek S. Borkar. Vivek S. Borkar 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 | 1 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | Average cost optimal control under weak hypotheses: Relative value iterations. | 0 |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | Controlled gossip | 1 |
| 13 | 194 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | Topics in controlled Markov chains | 103 |
| 17 | 26 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 4 |
About Vivek S. Borkar
Vivek S. Borkar is a scholar working on Finance, Statistics and Probability and Management Science and Operations Research, having authored 259 papers that have together received 6.6k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (59 papers), Markov Chains and Monte Carlo Methods (36 papers) and Reinforcement Learning in Robotics (33 papers). The work is most often cited by research in Management Science and Operations Research (1.4k citations), Statistics and Probability (773 citations) and Computer Networks and Communications (2.0k citations). Vivek S. Borkar has collaborated with scholars based in India, United States and France. Frequent co-authors include Sanjoy K. Mitter, Michael S. Branicky, Mrinal K. Ghosh, Sean Meyn, Pravin Varaiya, Ari Arapostathis, Steven I. Marcus, E. Fernández-Gaucherand, P. R. Kumar and I-Hong Hou. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and IEEE Transactions on Automatic Control.
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.