Kamesh Munagala
About
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
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | Metric Distortion of Small-Group Deliberation | Kamesh Munagala et al. | 0 | |
| 2 | Adaptive Probing Policies for Shortest Path Routing | Neural Information Processing Systems | Aditya Bhaskara, Sreenivas Gollapudi et al. | 2 |
| 3 | Massively parallel algorithms for computing TIN DEMs and contour trees for large terrains | Kyle Fox, Pankaj K. Agarwal et al. | 3 | |
| 4 | Stochastic Regret Minimization via Thompson Sampling | Conference on Learning Theory | Sudipto Guha, Kamesh Munagala | 5 |
| 5 | Competitive algorithms from competitive equilibria | Sungjin Im, Janardhan Kulkarni et al. | 17 | |
| 6 | Theory of Computing | Sayan Bhattacharya, Gagan Goel et al. | 18 | |
| 7 | Iterated Allocations with Delayed Feedback | arXiv (Cornell University) | Sudipto Guha, Kamesh Munagala et al. | 1 |
| 8 | Suppression and failures in sensor networks: a Bayesian approach | Journal of Media Literacy Education | Adam Silberstein, Gavino Puggioni et al. | 38 |
| 9 | On Index Policies for Restless Bandit Problems | arXiv (Cornell University) | Sudipto Guha, Kamesh Munagala et al. | 3 |
| 10 | Data›Driven Processing in Sensor Networks | Journal of Media Literacy Education | Adam Silberstein, Kamesh Munagala et al. | 23 |
| 11 | Model-driven optimization using adaptive probes | Symposium on Discrete Algorithms | Sudipto Guha, Kamesh Munagala | 20 |
| 12 | Making Sense of Suppressions and Failures in Sensor Data: A Bayesian Approach. | Very Large Data Bases | Adam Silberstein, Alan E. Gelfand et al. | 8 |
| 13 | Query optimization over web services | Very Large Data Bases | Utkarsh Srivastava, Kamesh Munagala et al. | 105 |
| 14 | Cancer characterization and feature set extraction by discriminative margin clustering | BMC Bioinformatics | Kamesh Munagala, Robert Tibshirani et al. | 25 |
| 15 | Approximation Algorithms for Concave Cost Network Flow Problems | Kamesh Munagala | 2 | |
| 16 | Improved algorithms for the data placement problem | Symposium on Discrete Algorithms | Sudipto Guha, Kamesh Munagala | 10 |
| 17 | Generalized clustering | Symposium on Discrete Algorithms | Sudipto Guha, Kamesh Munagala | 1 |
| 18 | Improved algorithms for fault tolerant facility location | Symposium on Discrete Algorithms | Sudipto Guha, Adam Meyerson et al. | 13 |
| 19 | Web caching using access statistics | Symposium on Discrete Algorithms | Adam Meyerson, Kamesh Munagala et al. | 22 |
| 20 | Balancing Steiner trees and shortest path trees online | Symposium on Discrete Algorithms | Ashish Goel, Kamesh Munagala | 11 |
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.