Akshat Kumar

1.2k citations
73 papers · 526 indexed · h-index 13

Impact in

Papers in

Akshat Kumar

63 papers receiving 503 citations

Peers

Akshat Kumar
Comparison fields: 5 of 71
  • Transportation 65
  • Management Science and Operations Research 97
  • Artificial Intelligence 220
  • Computer Networks and Communications 138
  • Automotive Engineering 68
Replace Chris Hinde with:
Chris Hinde United Kingdom
Antonio Berlanga Spain
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Citations per field
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Citations per year

Countries citing papers authored by Akshat Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Akshat Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Akshat Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Akshat Kumar Line = papers co-authored together Akshat Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202245
2 200938
3
Credit Assignment For Collective Multiagent RL With Global Rewards
201832
4 200928
5 201024
6
Approximate Inference in Collective Graphical Models
201322
7 201522
8 201719
9
Message Passing for Collective Graphical Models
201517
10 201916
11 201216
12 201815
13
Dynamic Programming Approximations for Partially Observable Stochastic Games
200912
14 201812
15
H-DPOP: using hard constraints for search space pruning in DCOP
200811
16
Event-detecting multi-agent MDPs: complexity and constant-factor approximation
200910
17 201810
18 20139
19 20129
20 20188

About Akshat Kumar

Akshat Kumar is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Control and Systems Engineering and Automotive Engineering, having authored 73 papers that have together received 526 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (15 papers), Bayesian Modeling and Causal Inference (13 papers), Auction Theory and Applications (11 papers), Machine Learning and Algorithms (8 papers), Constraint Satisfaction and Optimization (8 papers), Transportation and Mobility Innovations (6 papers), Data Management and Algorithms (5 papers) and Complex Network Analysis Techniques (5 papers). The work is most often cited by research in Transportation (65 citations), Management Science and Operations Research (97 citations), Artificial Intelligence (220 citations), Computer Networks and Communications (138 citations) and Automotive Engineering (68 citations). Akshat Kumar has collaborated with scholars based in Singapore, United States and India. Frequent co-authors include Shlomo Zilberstein, Hoong Chuin Lau, Pradeep Varakantham, Duc Thien Nguyen, Adrian Petcu, Boi Faltings, Daniel Sheldon, Marc Toussaint, Aakar Gupta and Mustafa Doga Dogan. Their work appears in journals such as Autonomous Agents and Multi-Agent Systems, Journal of Physics A Mathematical and Theoretical, Journal of Artificial Intelligence Research, ACM Transactions on Intelligent Systems and Technology and Lecture notes in electrical engineering.

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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