Sailesh Kumar
Impact in
- Hardware and Architecture top 0.5%
- Network Packet Processing and Optimization
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- Network Security and Intrusion Detection
- Software-Defined Networks and 5G
- Caching and Content Delivery
- Interconnection Networks and Systems
Papers in
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- Network Packet Processing and Optimization 9
- Parallel Computing and Optimization Techniques 2
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- Caching and Content Delivery 4
- Interconnection Networks and Systems 3
- Software-Defined Networks and 5G 3
- Peer-to-Peer Network Technologies 2
- Co-authors
- Jonathan Turner (8 shared papers)Patrick Crowley (8 shared papers)Sarang Dharmapurikar (2 shared papers)Yu Fang (2 shared papers)John Williams (1 shared paper)George Varghese (1 shared paper)B. Chandrasekaran (1 shared paper)Michela Becchi (1 shared paper)
- Journals
- ACM SIGCOMM Computer Communication Review (2 papers)Networks (1 paper)Intelligent Automation & Soft Computing (1 paper)Open Scholarship Institutional Repository (Washington University in St. Louis) (1 paper)CINECA IRIS Institutial research information system (University of Pisa) (1 paper)
- Partner nations
- United StatesItalyChina
In The Last Decade
Sailesh Kumar
14 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 27
- Hardware and Architecture 869
- Computer Networks and Communications 914
- Artificial Intelligence 663
- Software 20
- Signal Processing 51
Countries citing papers authored by Sailesh Kumar
This map shows the geographic impact of Sailesh Kumar'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 Sailesh Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sailesh Kumar more than expected).
Fields of papers citing papers by Sailesh Kumar
This network shows the impact of papers produced by Sailesh Kumar. 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 Sailesh Kumar. The network helps show where Sailesh Kumar may publish in the future.
Co-authors
The 20 scholars most cited alongside Sailesh Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 370 | |
| 2 | 2006 | 179 | |
| 3 | 2006 | 135 | |
| 4 | 2007 | 134 | |
| 5 | 2007 | 88 | |
| 6 | 2006 | 49 | |
| 7 | 2005 | 43 | |
| 8 | 2007 | 23 | |
| 9 | 2011 | 22 | |
| 10 | 2007 | 20 | |
| 11 | 2009 | 9 | |
| 12 | 2013 | 8 | |
| 13 | 2006 | 3 | |
| 14 | 2021 | 1 | |
| 15 | 2002 | 0 |
About Sailesh Kumar
Sailesh Kumar is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Organic Chemistry and Software, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Network Packet Processing and Optimization (9 papers), Algorithms and Data Compression (7 papers), Caching and Content Delivery (4 papers), Interconnection Networks and Systems (3 papers), Software-Defined Networks and 5G (3 papers), Peer-to-Peer Network Technologies (2 papers), Software Testing and Debugging Techniques (2 papers) and Parallel Computing and Optimization Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (869 citations), Computer Networks and Communications (914 citations), Artificial Intelligence (663 citations), Software (20 citations) and Signal Processing (51 citations). Sailesh Kumar has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Jonathan Turner, Patrick Crowley, Sarang Dharmapurikar, Yu Fang, John Williams, George Varghese, B. Chandrasekaran, Michela Becchi, Fred Kuhns and Jing Lu. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, Networks, Intelligent Automation & Soft Computing, Open Scholarship Institutional Repository (Washington University in St. Louis) and CINECA IRIS Institutial research information system (University of Pisa).
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.