Jayesh K. Gupta

1.6k total citations · 1 hit paper
19 papers, 172 citations indexed

About

Jayesh K. Gupta is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Jayesh K. Gupta has authored 19 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Control and Systems Engineering. Recurrent topics in Jayesh K. Gupta's work include Reinforcement Learning in Robotics (5 papers), Multi-Agent Systems and Negotiation (3 papers) and Robotic Path Planning Algorithms (2 papers). Jayesh K. Gupta is often cited by papers focused on Reinforcement Learning in Robotics (5 papers), Multi-Agent Systems and Negotiation (3 papers) and Robotic Path Planning Algorithms (2 papers). Jayesh K. Gupta collaborates with scholars based in United States, India and United Kingdom. Jayesh K. Gupta's co-authors include Mykel J. Kochenderfer, Tim A. Wheeler, Zachary N. Sunberg, Edward Balaban, Bohan Wu, Ashesh Jain, Ashutosh Saxena, Al Salour, Nishchal K. Verma and Sonal Dixit and has published in prestigious journals such as Nature, Journal of Machine Learning Research and Journal of Artificial Intelligence Research.

In The Last Decade

Jayesh K. Gupta

19 papers receiving 166 citations

Hit Papers

align trajectories

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 foundation model for the Earth system

2025 24 citations Ana Lučić, J. Brandstetter et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jayesh K. Gupta United States	7	77	44	33	21	16	19	172
Jiahao Li China	6	95 1.2×	27 0.6×	68 2.1×	8 0.4×	10 0.6×	30	179
Jordan Freitas United States	7	127 1.6×	76 1.7×	20 0.6×	13 0.6×	8 0.5×	12	214
Jérôme Lacaille France	9	65 0.8×	85 1.9×	17 0.5×	14 0.7×	11 0.7×	35	197
Zhongben Zhu China	11	90 1.2×	102 2.3×	41 1.2×	32 1.5×	12 0.8×	36	295
Junjie Yang China	8	53 0.7×	6 0.1×	75 2.3×	11 0.5×	9 0.6×	40	194
Matthieu Cord France	6	73 0.9×	10 0.2×	105 3.2×	13 0.6×	7 0.4×	9	234
Habiba A. Ibrahim Egypt	2	62 0.8×	34 0.8×	79 2.4×	46 2.2×	7 0.4×	2	194
Andrzej Rusiecki Poland	8	96 1.2×	22 0.5×	45 1.4×	7 0.3×	5 0.3×	30	212
Haoran Wang China	9	80 1.0×	10 0.2×	187 5.7×	11 0.5×	9 0.6×	25	293

Countries citing papers authored by Jayesh K. Gupta

Since Specialization

Citations

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

Fields of papers citing papers by Jayesh K. Gupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jayesh K. Gupta. 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 Jayesh K. Gupta. The network helps show where Jayesh K. Gupta may publish in the future.

Co-authorship network of co-authors of Jayesh K. Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Jayesh K. Gupta. A scholar is included among the top collaborators of Jayesh K. Gupta 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 Jayesh K. Gupta. Jayesh K. Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

1.

Lučić, Ana, J. Brandstetter, Jonathan A. Weyn, et al.. (2025). A foundation model for the Earth system. Nature. 641(8065). 1180–1187. 24 indexed citations breakdown →

2.

Bhattacharya, Anish, Fernando Cladera, Sai Vemprala, et al.. (2024). EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields. 5834–5843. 5 indexed citations

3.

Gupta, Jayesh K., et al.. (2023). Recurrent Subdural Hematoma: An Institutional Experience. Cureus. 15(7). e42582–e42582. 1 indexed citations

4.

Ma, Shuang, Sai Vemprala, Wenshan Wang, et al.. (2022). COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 1000–1007. 7 indexed citations

5.

Gupta, Jayesh K., et al.. (2022). Scalable Online Planning for Multi-Agent MDPs. Journal of Artificial Intelligence Research. 73. 821–846. 6 indexed citations

6.

Isele, David, et al.. (2022). Recursive Reasoning Graph for Multi-Agent Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 36(7). 7664–7671. 5 indexed citations

7.

Li, Sheng, et al.. (2021). Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning. arXiv (Cornell University). 764–772. 1 indexed citations

8.

Gupta, Jayesh K., et al.. (2021). Scalable Anytime Planning for Multi-Agent MDPs. arXiv (Cornell University). 341–349. 1 indexed citations

9.

Gupta, Jayesh K., et al.. (2020). Smart LPG Monitoring and Automatic Booking System using IOT. International Journal of Engineering Research and. V9(4). 3 indexed citations

10.

Gupta, Jayesh K., et al.. (2020). Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM. arXiv (Cornell University). 1 indexed citations

11.

Wu, Bohan, Jayesh K. Gupta, & Mykel J. Kochenderfer. (2020). Model primitives for hierarchical lifelong reinforcement learning. Autonomous Agents and Multi-Agent Systems. 34(1). 20 indexed citations

12.

Pandey, Vivek, et al.. (2019). Modelling of Gas Cooler for S-CO2 Brayton Power Cycle. 1 indexed citations

13.

Grover, Aditya, et al.. (2018). Learning Policy Representations in Multiagent Systems. International Conference on Machine Learning. 1802–1811. 5 indexed citations

14.

Grover, Aditya, Maruan Al-Shedivat, Jayesh K. Gupta, Yuri Burda, & Harrison Edwards. (2018). Evaluating Generalization in Multiagent Systems using Agent-Interaction Graphs. Adaptive Agents and Multi-Agents Systems. 1944–1946. 2 indexed citations

15.

Sunberg, Zachary N., et al.. (2017). POMDPs.jl: a framework for sequential decision making under uncertainty. Journal of Machine Learning Research. 18(1). 831–835. 53 indexed citations

16.

Gupta, Jayesh K., et al.. (2016). Advance Cryptography using Color Code based Substitution with Multi-Language Support. 5–9. 2 indexed citations

17.

Jain, Ashesh, et al.. (2015). PlanIt: A crowdsourcing approach for learning to plan paths from large scale preference feedback. 877–884. 15 indexed citations

18.

Verma, Nishchal K., et al.. (2013). Smartphone Application for Fault Recognition. International Journal on Smart Sensing and Intelligent Systems. 6(4). 1763–1782. 5 indexed citations

19.

Verma, Nishchal K., et al.. (2012). Smartphone application for fault recognition. 1–6. 15 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.

Explore authors with similar magnitude of impact