Nitin Sharma
Impact in
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- Caching and Content Delivery
- Peer-to-Peer Network Technologies
- Advanced Data Storage Technologies
- Opportunistic and Delay-Tolerant Networks
- Cooperative Communication and Network Coding
- Network Traffic and Congestion Control
- Information Systems top 10%
- Cloud Computing and Resource Management
Papers in
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- Caching and Content Delivery 3
- Peer-to-Peer Network Technologies 3
- Cooperative Communication and Network Coding 2
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- Cloud Computing and Resource Management 1
- Co-authors
- Neal Cardwell (3 shared papers)Anna R. Karlin (3 shared papers)Henry M. Levy (3 shared papers)Alec Wolman (3 shared papers)Anupam Joshi (2 shared papers)Geoff Voelker (1 shared paper)Karuna Pande Joshi (1 shared paper)Sandeep Nair Narayanan (1 shared paper)
- Journals
- ACM SIGOPS Operating Systems Review (1 paper)Maryland Shared Open Access Repository (USMAI Consortium) (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Nitin Sharma
6 papers receiving 495 citations
Peers
Comparison fields: 5 of 26
- Computer Networks and Communications 501
- Information Systems 100
- Hardware and Architecture 19
- Artificial Intelligence 64
- Signal Processing 13
Countries citing papers authored by Nitin Sharma
This map shows the geographic impact of Nitin Sharma'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 Nitin Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitin Sharma more than expected).
Fields of papers citing papers by Nitin Sharma
This network shows the impact of papers produced by Nitin Sharma. 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 Nitin Sharma. The network helps show where Nitin Sharma may publish in the future.
Co-authors
The 11 scholars most cited alongside Nitin Sharma, 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 | 1999 | 360 | |
| 2 | Organization-based analysis of web-object sharing and caching | 1999 | 82 |
| 3 | 1999 | 61 | |
| 4 | 2016 | 24 | |
| 5 | 2016 | 14 | |
| 6 | 1998 | 3 |
About Nitin Sharma
Nitin Sharma is a scholar working on Computer Networks and Communications, Information Systems, Sociology and Political Science, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 544 indexed citations. Recurring topics across this work include Caching and Content Delivery (3 papers), Peer-to-Peer Network Technologies (3 papers), Cooperative Communication and Network Coding (2 papers), Access Control and Trust (2 papers), Data Management and Algorithms (1 paper), Cloud Computing and Resource Management (1 paper), Security and Verification in Computing (1 paper) and Algorithms and Data Compression (1 paper). The work is most often cited by research in Computer Networks and Communications (501 citations), Information Systems (100 citations), Hardware and Architecture (19 citations), Artificial Intelligence (64 citations) and Signal Processing (13 citations). Nitin Sharma has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Neal Cardwell, Anna R. Karlin, Henry M. Levy, Alec Wolman, Anupam Joshi, Geoff Voelker, Karuna Pande Joshi, Sandeep Nair Narayanan, Tim Finin and Tao Jiang. Their work appears in journals such as ACM SIGOPS Operating Systems Review and Maryland Shared Open Access Repository (USMAI Consortium).
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.