Kamesh Munagala
- Computer Networks and Communications top 0.5%
- Artificial Intelligence top 2%
- Management Science and Operations Research top 1%
- Signal Processing top 1%
- Information Systems top 2%
- Co-authors
- Sudipto GuhaAdam MeyersonJennifer WidomUtkarsh SrivastavaRohit KhandekarVinayaka PanditNaveen GargSreenivas Gollapudi
- Topics
- Optimization and Search Problems (31 papers)Auction Theory and Applications (26 papers)Consumer Market Behavior and Pricing (15 papers)
- Cited by
- Computer Networks and CommunicationsSignal ProcessingManagement Science and Operations Research
- Partner nations
- United StatesCanadaChina
In The Last Decade
Kamesh Munagala
92 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 84
- Computer Networks and Communications 1.7k
- Artificial Intelligence 531
- Management Science and Operations Research 499
- Signal Processing 471
- Information Systems 372
Countries citing papers authored by Kamesh Munagala
This map shows the geographic impact of Kamesh Munagala'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 Kamesh Munagala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamesh Munagala more than expected).
Fields of papers citing papers by Kamesh Munagala
This network shows the impact of papers produced by Kamesh Munagala. 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 Kamesh Munagala. The network helps show where Kamesh Munagala may publish in the future.
Co-authorship network of co-authors of Kamesh Munagala
This figure shows the co-authorship network connecting the top 25 collaborators of Kamesh Munagala. A scholar is included among the top collaborators of Kamesh Munagala 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 Kamesh Munagala. Kamesh Munagala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Adaptive Probing Policies for Shortest Path Routing | 2 |
| 3 | 3 | |
| 4 | Stochastic Regret Minimization via Thompson Sampling | 5 |
| 5 | 17 | |
| 6 | 18 | |
| 7 | Iterated Allocations with Delayed Feedback | 1 |
| 8 | Suppression and failures in sensor networks: a Bayesian approach | 38 |
| 9 | On Index Policies for Restless Bandit Problems | 3 |
| 10 | Data›Driven Processing in Sensor Networks | 23 |
| 11 | 20 | |
| 12 | 8 | |
| 13 | 105 | |
| 14 | 25 | |
| 15 | Approximation Algorithms for Concave Cost Network Flow Problems | 2 |
| 16 | 10 | |
| 17 | 1 | |
| 18 | 13 | |
| 19 | 22 | |
| 20 | 11 |
About Kamesh Munagala
Kamesh Munagala is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Marketing, having authored 98 papers that have together received 2.6k indexed citations. Recurring topics across this work include Optimization and Search Problems (31 papers), Auction Theory and Applications (26 papers) and Consumer Market Behavior and Pricing (15 papers). The work is most often cited by research in Computer Networks and Communications (1.7k citations), Signal Processing (471 citations) and Management Science and Operations Research (499 citations). Kamesh Munagala has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Sudipto Guha, Adam Meyerson, Jennifer Widom, Utkarsh Srivastava, Rohit Khandekar, Vinayaka Pandit, Naveen Garg, Sreenivas Gollapudi, Shivnath Babu and Rajeev Motwani. Their work appears in journals such as BMC Bioinformatics, Journal of the ACM and IEEE/ACM Transactions on Networking.
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.