Ranjit Nair

960 total citations
16 papers, 520 citations indexed

About

Ranjit Nair is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Ranjit Nair has authored 16 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 8 papers in Management Science and Operations Research. Recurrent topics in Ranjit Nair's work include Reinforcement Learning in Robotics (7 papers), Multi-Agent Systems and Negotiation (5 papers) and Constraint Satisfaction and Optimization (5 papers). Ranjit Nair is often cited by papers focused on Reinforcement Learning in Robotics (7 papers), Multi-Agent Systems and Negotiation (5 papers) and Constraint Satisfaction and Optimization (5 papers). Ranjit Nair collaborates with scholars based in United States, Japan and Israel. Ranjit Nair's co-authors include Milind Tambe, Makoto Yokoo, Stacy Marsella, David V. Pynadath, Pradeep Varakantham, Maayan Roth, Nathan Schurr, Jonathan P. Pearce, Praveen Paruchuri and Emma Bowring and has published in prestigious journals such as Autonomous Agents and Multi-Agent Systems, International Joint Conference on Artificial Intelligence and National Conference on Artificial Intelligence.

In The Last Decade

Ranjit Nair

14 papers receiving 480 citations

Peers

Ranjit Nair
Comparison fields: 5 of 44
  • Artificial Intelligence 392
  • Management Science and Operations Research 195
  • Computer Networks and Communications 186
  • Computer Vision and Pattern Recognition 36
  • Computational Theory and Mathematics 33
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Citations per field, relative to Ranjit Nair
Ranjit Nair · 1×
Citations per year, relative to Ranjit Nair
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Countries citing papers authored by Ranjit Nair

Since Specialization
Citations

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

Fields of papers citing papers by Ranjit Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ranjit Nair

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 0
2 4
3
Exploiting locality of interaction in networked distributed POMDPs
12
4
Multiagent Teamwork: Hybrid Approaches
2
5 6
6
Networked distributed POMDPs: a synergy of distributed constraint optimization and POMDPs
10
7
Networked distributed POMDPs: a synthesis of distributed constraint optimization and POMDPs
129
8 20
9 46
10
Coordinating multiagent teams in uncertain domains using distributed pomdps
2
11
Taming decentralized POMDPs: towards efficient policy computation for multiagent settings
212
12
Integrating Belief-Desire-Intention Approaches with POMDPs: The Case of Team-Oriented Programs
2
13 55
14 18
15
Towards Computing Optimal Policies for Decentralized POMDPs
2
16
R-COM-MTDP: Comparing and Forming Plans for Team Formation in Multiagent Systems
0

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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