Sudeep Kamath
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Statistics and Probability top 10%
- Co-authors
- Venkat AnantharamAaron B. WagnerIbrahim IssaDavid TseChandra NairAmin GohariD. ManjunathAnanda Theertha Suresh
- Topics
- Cooperative Communication and Network Coding (12 papers)Wireless Communication Security Techniques (8 papers)Mobile Ad Hoc Networks (7 papers)
- Journals
- IEEE Transactions on Information TheoryDSpace (IIT Bombay)Conference on Learning Theory
- Partner nations
- United StatesHong KongIndia
In The Last Decade
Sudeep Kamath
22 papers receiving 323 citations
Peers
Comparison fields: 5 of 37
- Electrical and Electronic Engineering 171
- Computer Networks and Communications 143
- Artificial Intelligence 134
- Computational Theory and Mathematics 45
- Statistics and Probability 32
Countries citing papers authored by Sudeep Kamath
This map shows the geographic impact of Sudeep Kamath'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 Sudeep Kamath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudeep Kamath more than expected).
Fields of papers citing papers by Sudeep Kamath
This network shows the impact of papers produced by Sudeep Kamath. 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 Sudeep Kamath. The network helps show where Sudeep Kamath may publish in the future.
Co-authorship network of co-authors of Sudeep Kamath
This figure shows the co-authorship network connecting the top 25 collaborators of Sudeep Kamath. A scholar is included among the top collaborators of Sudeep Kamath 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 Sudeep Kamath. Sudeep Kamath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 7 | |
| 3 | 63 | |
| 4 | On Learning Distributions from their Samples | 28 |
| 5 | 8 | |
| 6 | 6 | |
| 7 | 14 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 35 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 23 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 23 | |
| 17 | 14 | |
| 18 | 36 | |
| 19 | 13 | |
| 20 | 15 |
About Sudeep Kamath
Sudeep Kamath is a scholar working on Computer Networks and Communications, Statistics and Probability and Discrete Mathematics and Combinatorics, having authored 22 papers that have together received 330 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (12 papers), Wireless Communication Security Techniques (8 papers) and Mobile Ad Hoc Networks (7 papers). The work is most often cited by research in Computer Networks and Communications (143 citations), Artificial Intelligence (134 citations) and Statistics and Probability (32 citations). Sudeep Kamath has collaborated with scholars based in United States, Hong Kong and India. Frequent co-authors include Venkat Anantharam, Aaron B. Wagner, Ibrahim Issa, David Tse, Chandra Nair, Amin Gohari, Venkat Anantharam, D. Manjunath, Ananda Theertha Suresh and Alon Orlitsky. Their work appears in journals such as IEEE Transactions on Information Theory, DSpace (IIT Bombay) and Conference on Learning Theory.
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.