Saurabh Tewari
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Sociology and Political Science
- Information Systems
- Co-authors
- Leonard KleinrockMário GerlaGustavo MarfiaShirshanka DasAlok NandanKolin PaulAnshul KumarVinay J. Ribeiro
- Topics
- Peer-to-Peer Network Technologies (14 papers)Caching and Content Delivery (14 papers)Opportunistic and Delay-Tolerant Networks (4 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionInformation Systems
- Journals
- IEEE Journal on Selected Areas in CommunicationsIEEE Communications MagazineACM SIGMETRICS Performance Evaluation Review
- Partner nations
- United StatesIndiaSweden
In The Last Decade
Saurabh Tewari
19 papers receiving 362 citations
Peers
Comparison fields: 5 of 31
- Computer Networks and Communications 368
- Electrical and Electronic Engineering 69
- Computer Vision and Pattern Recognition 53
- Sociology and Political Science 45
- Information Systems 31
Countries citing papers authored by Saurabh Tewari
This map shows the geographic impact of Saurabh Tewari'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 Saurabh Tewari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saurabh Tewari more than expected).
Fields of papers citing papers by Saurabh Tewari
This network shows the impact of papers produced by Saurabh Tewari. 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 Saurabh Tewari. The network helps show where Saurabh Tewari may publish in the future.
Co-authorship network of co-authors of Saurabh Tewari
This figure shows the co-authorship network connecting the top 25 collaborators of Saurabh Tewari. A scholar is included among the top collaborators of Saurabh Tewari 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 Saurabh Tewari. Saurabh Tewari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 98 | |
| 9 | 49 | |
| 10 | Performance study of peer-to-peer file sharing | 6 |
| 11 | 11 | |
| 12 | 22 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 85 | |
| 16 | AdTorrent: Delivering Location Cognizant Advertisements to Car Networks | 55 |
| 17 | 33 | |
| 18 | 2 | |
| 19 | 2 |
About Saurabh Tewari
Saurabh Tewari is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 393 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (14 papers), Caching and Content Delivery (14 papers) and Opportunistic and Delay-Tolerant Networks (4 papers). The work is most often cited by research in Computer Networks and Communications (368 citations), Computer Vision and Pattern Recognition (53 citations) and Information Systems (31 citations). Saurabh Tewari has collaborated with scholars based in United States, India and Sweden. Frequent co-authors include Leonard Kleinrock, Mário Gerla, Gustavo Marfia, Shirshanka Das, Alok Nandan, Kolin Paul, Anshul Kumar, Vinay J. Ribeiro, Dimitrios Stathis and Manfred Grabherr. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Communications Magazine and ACM SIGMETRICS Performance Evaluation Review.
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.