Amrit Singh Bedi

936 total citations
57 papers, 435 citations indexed

About

Amrit Singh Bedi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Amrit Singh Bedi has authored 57 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 25 papers in Computer Networks and Communications and 20 papers in Management Science and Operations Research. Recurrent topics in Amrit Singh Bedi's work include Advanced Bandit Algorithms Research (18 papers), Sparse and Compressive Sensing Techniques (16 papers) and Distributed Control Multi-Agent Systems (13 papers). Amrit Singh Bedi is often cited by papers focused on Advanced Bandit Algorithms Research (18 papers), Sparse and Compressive Sensing Techniques (16 papers) and Distributed Control Multi-Agent Systems (13 papers). Amrit Singh Bedi collaborates with scholars based in United States, India and Finland. Amrit Singh Bedi's co-authors include Ketan Rajawat, Alec Koppel, Vaneet Aggarwal, Anis Elgabli, Mehdi Bennis, Jihong Park, Jonathan P. How, Yulun Tian, Dinesh Manocha and Chaouki Ben Issaid and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Communications and IEEE Signal Processing Magazine.

In The Last Decade

Amrit Singh Bedi

54 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amrit Singh Bedi United States 13 188 170 124 91 81 57 435
Zeeshan Ali Pakistan 10 105 0.6× 272 1.6× 83 0.7× 63 0.7× 55 0.7× 22 538
Muhammed O. Sayin Türkiye 11 99 0.5× 90 0.5× 78 0.6× 193 2.1× 47 0.6× 30 414
Alessandro Falsone Italy 10 60 0.3× 177 1.0× 160 1.3× 19 0.2× 33 0.4× 53 440
Prateek Jain India 10 90 0.5× 29 0.2× 131 1.1× 142 1.6× 15 0.2× 30 397
Yongzhi Wang China 11 177 0.9× 122 0.7× 41 0.3× 13 0.1× 27 0.3× 54 419
Yunfeng Guan China 11 85 0.5× 149 0.9× 290 2.3× 18 0.2× 21 0.3× 63 536
Saroj Kumar Sahoo India 10 268 1.4× 44 0.3× 57 0.5× 15 0.2× 12 0.1× 11 400
Pushkar Tripathi India 9 34 0.2× 104 0.6× 82 0.7× 32 0.4× 70 0.9× 27 322
Alan Crispin United Kingdom 8 121 0.6× 34 0.2× 46 0.4× 12 0.1× 44 0.5× 24 332
Nevena Lazic United States 9 255 1.4× 35 0.2× 32 0.3× 11 0.1× 82 1.0× 15 397

Countries citing papers authored by Amrit Singh Bedi

Since Specialization
Citations

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

Fields of papers citing papers by Amrit Singh Bedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amrit Singh Bedi. 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 Amrit Singh Bedi. The network helps show where Amrit Singh Bedi may publish in the future.

Co-authorship network of co-authors of Amrit Singh Bedi

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

All Works

20 of 20 papers shown
1.
2.
Bedi, Amrit Singh, et al.. (2023). Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policy Optimization. 989–995. 2 indexed citations
3.
Bedi, Amrit Singh, et al.. (2023). Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 6737–6744. 3 indexed citations
4.
Bedi, Amrit Singh, Pratap Tokekar, Alec Koppel, et al.. (2023). Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 6980–6988. 2 indexed citations
5.
6.
Bedi, Amrit Singh, et al.. (2023). Regret and Belief Complexity Tradeoff in Gaussian Process Bandits via Information Thresholding. IEEE Transactions on Artificial Intelligence. 6(3). 508–517. 1 indexed citations
7.
Bedi, Amrit Singh, et al.. (2022). DC-MRTA: Decentralized Multi-Robot Task Allocation and Navigation in Complex Environments. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 11711–11718. 9 indexed citations
8.
Bedi, Amrit Singh, Alec Koppel, Ketan Rajawat, et al.. (2021). Dynamic Online Learning via Frank-Wolfe Algorithm. IEEE Transactions on Signal Processing. 69. 932–947. 11 indexed citations
9.
Zhang, Junyu, Amrit Singh Bedi, Mengdi Wang, & Alec Koppel. (2021). Beyond Cumulative Returns via Reinforcement Learning over State-Action Occupancy Measures. 894–901. 2 indexed citations
10.
Koppel, Alec, et al.. (2021). Wasserstein-Splitting Gaussian Process Regression for Heterogeneous Online Bayesian Inference. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 9833–9840. 4 indexed citations
11.
Elgabli, Anis, Jihong Park, Amrit Singh Bedi, Mehdi Bennis, & Vaneet Aggarwal. (2020). GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning. Own your potential (DEAKIN). 21(76). 1–39. 15 indexed citations
12.
Elgabli, Anis, Jihong Park, Amrit Singh Bedi, et al.. (2020). Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. IEEE Transactions on Communications. 69(1). 164–181. 39 indexed citations
13.
Elgabli, Anis, Jihong Park, Amrit Singh Bedi, Mehdi Bennis, & Vaneet Aggarwal. (2020). Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. 8876–8880. 17 indexed citations
14.
Koppel, Alec, Amrit Singh Bedi, Brian M. Sadler, & V́ıctor Elvira. (2019). Nearly Consistent Finite Particle Estimates in Streaming Importance\n Sampling. arXiv (Cornell University). 1 indexed citations
15.
Bedi, Amrit Singh & Ketan Rajawat. (2018). Asynchronous Incremental Stochastic Dual Descent Algorithm for Network Resource Allocation. IEEE Transactions on Signal Processing. 66(9). 2229–2244. 21 indexed citations
16.
Bedi, Amrit Singh, et al.. (2018). On Socially Optimal Traffic Flow in the Presence of Random Users. 1–6. 3 indexed citations
17.
Bedi, Amrit Singh, et al.. (2018). Online algorithms for storage utilization under real-time pricing in smart grid. International Journal of Electrical Power & Energy Systems. 101. 50–59. 10 indexed citations
18.
Bedi, Amrit Singh, Alec Koppel, & Ketan Rajawat. (2017). Beyond Consensus and Synchrony in Online Network Optimization via Saddle Point Method. arXiv (Cornell University). 2 indexed citations
19.
Bedi, Amrit Singh, Alec Koppel, & Ketan Rajawat. (2017). Beyond consensus and synchrony in decentralized online optimization using saddle point method. 293–297. 10 indexed citations
20.
Bedi, Amrit Singh & Ketan Rajawat. (2016). Online load scheduling under price and demand uncertainty in smart grid. 1–5. 2 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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