Rahul Jain

4.6k total citations
150 papers, 2.7k citations indexed

About

Rahul Jain is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Management Science and Operations Research. According to data from OpenAlex, Rahul Jain has authored 150 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Computer Networks and Communications, 55 papers in Electrical and Electronic Engineering and 49 papers in Management Science and Operations Research. Recurrent topics in Rahul Jain's work include Reinforcement Learning in Robotics (23 papers), Auction Theory and Applications (20 papers) and Smart Grid Energy Management (15 papers). Rahul Jain is often cited by papers focused on Reinforcement Learning in Robotics (23 papers), Auction Theory and Applications (20 papers) and Smart Grid Energy Management (15 papers). Rahul Jain collaborates with scholars based in United States, India and Singapore. Rahul Jain's co-authors include Seshadri Mohan, Bhaskar Krishnamachari, Yi Gai, Yi‐Bing Lin, David Kotz, Libo Song, Dileep Kalathil, Chun‐Li Lo, Jean Walrand and Wenyuan Tang and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and IEEE Transactions on Automatic Control.

In The Last Decade

Rahul Jain

141 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rahul Jain United States	24	1.4k	1.2k	612	402	216	150	2.7k
Cheng‐Shang Chang Taiwan	30	2.9k 2.1×	2.5k 2.0×	212 0.3×	164 0.4×	39 0.2×	177	4.4k
Kazuo Murota Japan	34	613 0.4×	386 0.3×	566 0.9×	247 0.6×	76 0.4×	215	4.1k
Paul G. Spirakis Greece	26	1.5k 1.1×	247 0.2×	548 0.9×	469 1.2×	53 0.2×	260	2.7k
Lyle A. McGeoch United States	15	1.7k 1.2×	426 0.3×	831 1.4×	693 1.7×	50 0.2×	26	3.4k
Maxim Sviridenko United States	26	1.3k 0.9×	268 0.2×	365 0.6×	459 1.1×	36 0.2×	92	2.6k
John N. Tsitsiklis United States	20	1.2k 0.8×	794 0.7×	446 0.7×	476 1.2×	94 0.4×	39	3.1k
Laurent Massoulié France	42	4.9k 3.4×	1.5k 1.2×	266 0.4×	439 1.1×	129 0.6×	150	6.5k
Daniel P. Heyman United States	28	1.8k 1.3×	970 0.8×	767 1.3×	172 0.4×	136 0.6×	85	3.9k
Kavita Ramanan United States	21	1.6k 1.1×	1.5k 1.2×	163 0.3×	146 0.4×	42 0.2×	70	2.5k
Michel X. Goemans United States	33	1.9k 1.3×	856 0.7×	463 0.8×	1.1k 2.6×	64 0.3×	79	5.4k

Countries citing papers authored by Rahul Jain

Since Specialization

Citations

This map shows the geographic impact of Rahul Jain'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 Rahul Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahul Jain more than expected).

Fields of papers citing papers by Rahul Jain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rahul Jain. 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 Rahul Jain. The network helps show where Rahul Jain may publish in the future.

Co-authorship network of co-authors of Rahul Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Jain. A scholar is included among the top collaborators of Rahul Jain 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 Rahul Jain. Rahul Jain 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

Jain, Rahul, et al.. (2026). Telescopic Synthesis of Triazol‐4‐yl Modified Phenylalanine Conjugates and Peptide Modification Using a Sonogashira Domino Strategy at Room Temperature. European Journal of Organic Chemistry. 29(8).

Jain, Rahul, et al.. (2024). Optimal Communication and Control Strategies in a Cooperative Multiagent MDP Problem. IEEE Transactions on Automatic Control. 69(10). 6959–6966. 1 indexed citations

Gupta, Abhishek, Rahul Jain, & Peter W. Glynn. (2024). Probabilistic Contraction Analysis of Iterated Random Operators. IEEE Transactions on Automatic Control. 69(9). 5947–5962.

Shen, Dong‐Ming, et al.. (2024). Optimal Control of Logically Constrained Partially Observable and Multiagent Markov Decision Processes. IEEE Transactions on Automatic Control. 70(1). 263–277. 1 indexed citations

Jain, Rahul, et al.. (2022). Two-Stage Electricity Markets With Renewable Energy Integration: Market Mechanisms and Equilibrium Analysis. IEEE Transactions on Control of Network Systems. 9(2). 823–834. 3 indexed citations

Jain, Rahul, et al.. (2022). Scheduling Flexible Nonpreemptive Loads in Smart-Grid Networks. IEEE Transactions on Control of Network Systems. 9(1). 14–24. 12 indexed citations

Jain, Rahul, et al.. (2020). Evaluation of socio-economic conditions of cauliflower (Brassica oleracea) growers in Chaka block of Allahabad district Uttar Pradesh. Journal of Pharmacognosy and Phytochemistry. 9(5). 148–151. 2 indexed citations

Wei, Chen-Yu, et al.. (2020). Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes. International Conference on Machine Learning. 1. 10170–10180. 8 indexed citations

Jain, Rahul, et al.. (2019). Approximate Relative Value Learning for Average-reward Continuous State MDPs. Uncertainty in Artificial Intelligence. 956–964. 5 indexed citations

10.

Jain, Rahul, et al.. (2019). A Two Stage Stochastic Mechanism for Selling Random Power. 2602–2607.

11.

Gupta, Abhishek, Rahul Jain, & Peter W. Glynn. (2018). A Fixed Point Theorem for Iterative Random Contraction Operators over Banach Spaces.. arXiv (Cornell University).

12.

Ouyang, Yi, et al.. (2017). Learning Unknown Markov Decision Processes: A Thompson Sampling Approach. Neural Information Processing Systems. 30. 1333–1342. 10 indexed citations

13.

Jain, Rahul, Preeti Ranjan Panda, & Sreenivas Subramoney. (2017). Cooperative Multi-Agent Reinforcement Learning-Based Co-optimization of Cores, Caches, and On-chip Network. ACM Transactions on Architecture and Code Optimization. 14(4). 1–25. 13 indexed citations

14.

Gupta, Abhishek, Rahul Jain, & Ram Rajagopal. (2015). Scheduling, pricing, and efficiency of non-preemptive flexible loads under direct load control. 1008–1015. 7 indexed citations

15.

Kalathil, Dileep & Rahul Jain. (2010). A contracts-based approach for spectrum sharing among cognitive radios. HAL (Le Centre pour la Communication Scientifique Directe). 91–97. 4 indexed citations

16.

Jain, Rahul & Jean Walrand. (2007). An Efficient Nash-Implementation Mechanism for Divisible Resource Allocation. 3 indexed citations

17.

Jain, Rahul & Pravin Varaiya. (2006). Simulation‐based Uniform Value Function Estimates of Markov Decision Processes. SIAM Journal on Control and Optimization. 45(5). 1633–1656. 8 indexed citations

18.

Jain, Rahul & Pravin Varaiya. (2004). COMBINATORIAL BANDWIDTH EXCHANGE: MECHANISM Design and Analysis. 4 indexed citations

19.

Sasaki, Galen H. & Rahul Jain. (1992). Scheduling data transfers in preemptive hierarchical switching systems with applications to packet radio networks. 691–700 vol.2. 1 indexed citations

20.

Jain, S.C., G. D. Sootha, & Rahul Jain. (1968). Optical, electron spin resonance and electrical studies of coloured KCl crystals doped with cadmium. Journal of Physics C Solid State Physics. 1(5). 1220–1227. 13 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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