Vivek S. Borkar

12.5k total citations · 1 hit paper
259 papers, 6.6k citations indexed

About

Vivek S. Borkar is a scholar working on Artificial Intelligence, Management Science and Operations Research and Finance. According to data from OpenAlex, Vivek S. Borkar has authored 259 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 60 papers in Management Science and Operations Research and 59 papers in Finance. Recurrent topics in Vivek S. Borkar's work include Stochastic processes and financial applications (59 papers), Markov Chains and Monte Carlo Methods (36 papers) and Reinforcement Learning in Robotics (33 papers). Vivek S. Borkar is often cited by papers focused on Stochastic processes and financial applications (59 papers), Markov Chains and Monte Carlo Methods (36 papers) and Reinforcement Learning in Robotics (33 papers). Vivek S. Borkar collaborates with scholars based in India, United States and France. Vivek S. Borkar's co-authors include Sanjoy K. Mitter, Michael S. Branicky, Mrinal K. Ghosh, Sean Meyn, Pravin Varaiya, Ari Arapostathis, Steven I. Marcus, E. Fernández-Gaucherand, I-Hong Hou and P. R. Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and IEEE Transactions on Automatic Control.

In The Last Decade

Vivek S. Borkar

243 papers receiving 6.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A unified framework for hybrid control: model and optimal control theory

1998 892 citations Vivek S. Borkar, Sanjoy K. Mitter et al. IEEE Transactions on Automatic Control profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Vivek S. Borkar India	37	2.0k	1.7k	1.7k	1.4k	1.2k	259	6.6k
G. George Yin United States	27	1.3k 0.7×	1.8k 1.0×	1.3k 0.7×	797 0.6×	855 0.7×	111	5.4k
Sean Meyn United States	45	2.0k 1.0×	2.0k 1.2×	2.2k 1.3×	1.6k 1.2×	2.7k 2.2×	250	11.4k
Benjamin Van Roy United States	30	1.1k 0.6×	699 0.4×	2.0k 1.1×	1.5k 1.1×	729 0.6×	97	4.9k
George Yin United States	42	1.5k 0.8×	1.8k 1.1×	536 0.3×	804 0.6×	658 0.5×	430	7.0k
Steven I. Marcus United States	39	1.0k 0.5×	1.5k 0.9×	1.1k 0.7×	800 0.6×	375 0.3×	220	4.7k
Jean B. Lasserre France	40	579 0.3×	2.3k 1.4×	923 0.5×	975 0.7×	617 0.5×	296	8.4k
Giuseppe C. Calafiore Italy	36	608 0.3×	2.7k 1.6×	768 0.4×	1.5k 1.1×	1.0k 0.9×	208	6.6k
Yu‐Chi Ho United States	34	975 0.5×	1.2k 0.7×	847 0.5×	1.4k 1.1×	611 0.5×	121	5.3k
Onésimo Hernández–Lerma Mexico	27	488 0.2×	974 0.6×	991 0.6×	1.2k 0.9×	333 0.3×	130	3.6k
Peter E. Caines Canada	34	716 0.4×	2.6k 1.5×	717 0.4×	784 0.6×	462 0.4×	294	6.5k

Countries citing papers authored by Vivek S. Borkar

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Borkar, Vivek S.. (2024). Some big issues with small noise limits in Markov decision processes. Systems & Control Letters. 196. 105972–105972. 1 indexed citations

Borkar, Vivek S., et al.. (2022). User Association in Dense mmWave Networks as Restless Bandits. IEEE Transactions on Vehicular Technology. 71(7). 7919–7929. 8 indexed citations

Arapostathis, Ari, Anup Biswas, Vivek S. Borkar, & Kuldeep Kumar. (2020). A Variational Characterization of the Risk-Sensitive Average Reward for Controlled Diffusions on $\mathbb{R}^d$. SIAM Journal on Control and Optimization. 58(6). 3785–3813. 10 indexed citations

Athreya, Siva, Vivek S. Borkar, Kuldeep Kumar, & Rajesh Sundaresan. (2020). Simultaneous Small Noise Limit for Singularly Perturbed Slow-Fast Coupled Diffusions. DSpace (IIT Bombay). 3 indexed citations

Arapostathis, Ari & Vivek S. Borkar. (2019). Average cost optimal control under weak hypotheses: Relative value iterations.. arXiv (Cornell University).

Borkar, Vivek S., et al.. (2018). Gradient Estimation with Simultaneous Perturbation and Compressive Sensing. Journal of Machine Learning Research. 18(161). 1–27. 1 indexed citations

Borkar, Vivek S.. (2017). Linear and dynamic programming approaches to degenerate risk-sensitive reward processes. 3714–3718. 3 indexed citations

Borkar, Vivek S., et al.. (2016). New Insight of Discrete-Time Food Chain Interaction Model. 4(2). 1 indexed citations

Borkar, Vivek S. & Aditya Karnik. (2011). Controlled gossip. 1 indexed citations

10.

Borkar, Vivek S., Jayakrishnan Nair, & Sanketh Nalli. (2010). Manufacturing consent. 1550–1555. 33 indexed citations

11.

Hou, I-Hong, Vivek S. Borkar, & P. R. Kumar. (2009). A Theory of QoS for Wireless. 486–494. 194 indexed citations

12.

Borkar, Vivek S., et al.. (2008). A novel ACO algorithm for optimization via reinforcement and initial bias. Swarm Intelligence. 3(1). 3–34. 9 indexed citations

13.

Bhatnagar, Shalabh, et al.. (2006). A Simulation-Based Algorithm for Ergodic Control of Markov Chains Conditioned on Rare Events. Journal of Machine Learning Research. 7(70). 1937–1962. 4 indexed citations

14.

Borkar, Vivek S., Sanjoy K. Mitter, & Venkatesh Saligrama. (2004). Variations on a theme by neyman and pearson. 66(2). 292–305. 2 indexed citations

15.

Borkar, Vivek S. & P. Gupta. (1999). Randomized neural networks for learning stochastic dependences. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 29(4). 469–480. 1 indexed citations

16.

Borkar, Vivek S.. (1997). Correction to "Recursive self-tuning control of finite Markov chains" (Applicationes Math. 24 (2) (1996), 169-188). Applicationes Mathematicae. 24(3). 355. 4 indexed citations

17.

Borkar, Vivek S.. (1991). Topics in controlled Markov chains. 103 indexed citations

18.

Borkar, Vivek S.. (1990). The Kumar-Becker-Lin scheme revisited. Journal of Optimization Theory and Applications. 66(2). 289–309. 13 indexed citations

19.

Borkar, Vivek S.. (1986). The nisio semigroup for controlled diffusions with partial observations. Stochastics. 17(1-2). 145–160. 2 indexed citations

20.

Borkar, Vivek S. & Pravin Varaiya. (1980). Identification and adaptive control of Markov chains. IEEE Transactions on Automatic Control. 17(17). 63. 4 indexed citations

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.

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