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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- Peer-to-Peer Network Technologies 3
- Caching and Content Delivery 3
- Cooperative Communication and Network Coding 2
- IoT and Edge/Fog Computing 1
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- Cloud Computing and Resource Management 1
- Co-authors
- Anna R. Karlin (3 shared papers)Alec Wolman (3 shared papers)Neal Cardwell (3 shared papers)Henry M. Levy (3 shared papers)Anupam Joshi (2 shared papers)Geoff Voelker (1 shared paper)Karuna Pande Joshi (1 shared paper)Tim Finin (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 496 citations
Peers
Comparison fields: 5 of 26
- Computer Networks and Communications 502
- 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 | 361 | |
| 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 545 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (3 papers), Caching and Content Delivery (3 papers), Access Control and Trust (2 papers), Cooperative Communication and Network Coding (2 papers), Data Management and Algorithms (1 paper), Cloud Computing and Resource Management (1 paper), IoT and Edge/Fog Computing (1 paper) and Context-Aware Activity Recognition Systems (1 paper). The work is most often cited by research in Computer Networks and Communications (502 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 Anna R. Karlin, Alec Wolman, Neal Cardwell, Henry M. Levy, Anupam Joshi, Geoff Voelker, Karuna Pande Joshi, Tim Finin, Sandeep Nair Narayanan 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.