T. S. Jayram
Impact in
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- Cooperative Communication and Network Coding
- Advanced Database Systems and Queries
- Caching and Content Delivery
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- Complexity and Algorithms in Graphs
Papers in
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- Machine Learning and Algorithms 9
- Cryptography and Data Security 7
- Algorithms and Data Compression 5
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- Complexity and Algorithms in Graphs 21
- Co-authors
- Ziv Bar-Yossef (8 shared papers)Ravi Kumar (7 shared papers)D. Sivakumar (6 shared papers)Yitzhak Birk (2 shared papers)Tomer Kol (2 shared papers)Erik Vee (4 shared papers)Neha Gandhi (2 shared papers)S. Parekh (2 shared papers)
- Journals
- Journal of Computer and System Sciences (3 papers)IEEE Transactions on Information Theory (2 papers)Computing (1 paper)The VLDB Journal (1 paper)Physical Review Research (1 paper)
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
T. S. Jayram
48 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 73
- Computer Networks and Communications 1.1k
- Computational Theory and Mathematics 538
- Signal Processing 337
- Artificial Intelligence 867
- Hardware and Architecture 80
Countries citing papers authored by T. S. Jayram
This map shows the geographic impact of T. S. Jayram'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 T. S. Jayram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. S. Jayram more than expected).
Fields of papers citing papers by T. S. Jayram
This network shows the impact of papers produced by T. S. Jayram. 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 T. S. Jayram. The network helps show where T. S. Jayram may publish in the future.
Co-authors
The 25 scholars most cited alongside T. S. Jayram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 291 | |
| 2 | 2011 | 290 | |
| 3 | 2002 | 154 | |
| 4 | 2006 | 133 | |
| 5 | 2006 | 116 | |
| 6 | 2002 | 68 | |
| 7 | 2004 | 64 | |
| 8 | 2007 | 57 | |
| 9 | 2007 | 48 | |
| 10 | 2013 | 45 | |
| 11 | 2006 | 40 | |
| 12 | 2012 | 40 | |
| 13 | 2003 | 37 | |
| 14 | 2004 | 37 | |
| 15 | Recognizing End-User Transactions in Performance Management | 2000 | 35 |
| 16 | 2003 | 32 | |
| 17 | 2002 | 32 | |
| 18 | 2001 | 32 | |
| 19 | 2007 | 31 | |
| 20 | 2013 | 31 |
About T. S. Jayram
T. S. Jayram is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing, having authored 49 papers that have together received 1.9k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (21 papers), Machine Learning and Algorithms (9 papers), Cryptography and Data Security (7 papers), Optimization and Search Problems (7 papers), Data Management and Algorithms (7 papers), Advanced Database Systems and Queries (7 papers), Algorithms and Data Compression (5 papers) and Error Correcting Code Techniques (5 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Computational Theory and Mathematics (538 citations), Signal Processing (337 citations), Artificial Intelligence (867 citations) and Hardware and Architecture (80 citations). T. S. Jayram has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Ziv Bar-Yossef, Ravi Kumar, D. Sivakumar, Yitzhak Birk, Tomer Kol, Erik Vee, Neha Gandhi, S. Parekh, Joseph M. Hellerstein and Dawn M. Tilbury. Their work appears in journals such as Journal of Computer and System Sciences, IEEE Transactions on Information Theory, Computing, The VLDB Journal and Physical Review Research.
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.