Shantanu Sharma
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Information Systems top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Awadhesh Kumar SinghShlomi DolevSharad MehrotraEhud GudesYin LiUpendra SinghJeffrey D. UllmanPradip K. Das
- Topics
- Privacy-Preserving Technologies in Data (10 papers)Cryptography and Data Security (9 papers)Mobile Ad Hoc Networks (4 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringProceedings of the VLDB EndowmentACM SIGMOD Record
- Partner nations
- United StatesIndiaChina
In The Last Decade
Shantanu Sharma
29 papers receiving 199 citations
Peers
Comparison fields: 5 of 41
- Computer Networks and Communications 101
- Artificial Intelligence 80
- Information Systems 68
- Electrical and Electronic Engineering 35
- Computer Vision and Pattern Recognition 22
Countries citing papers authored by Shantanu Sharma
This map shows the geographic impact of Shantanu 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 Shantanu Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shantanu Sharma more than expected).
Fields of papers citing papers by Shantanu Sharma
This network shows the impact of papers produced by Shantanu 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 Shantanu Sharma. The network helps show where Shantanu Sharma may publish in the future.
Co-authorship network of co-authors of Shantanu Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Shantanu Sharma. A scholar is included among the top collaborators of Shantanu Sharma 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 Shantanu Sharma. Shantanu Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 15 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 45 | |
| 15 | 5 | |
| 16 | 4 | |
| 17 | Bounds for Overlapping Interval Join on MapReduce. | 5 |
| 18 | 7 | |
| 19 | 3 | |
| 20 | 8 |
About Shantanu Sharma
Shantanu Sharma is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 34 papers that have together received 204 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (10 papers), Cryptography and Data Security (9 papers) and Mobile Ad Hoc Networks (4 papers). The work is most often cited by research in Computer Networks and Communications (101 citations), Information Systems (68 citations) and Artificial Intelligence (80 citations). Shantanu Sharma has collaborated with scholars based in United States, India and China. Frequent co-authors include Awadhesh Kumar Singh, Shlomi Dolev, Sharad Mehrotra, Ehud Gudes, Yin Li, Upendra Singh, Jeffrey D. Ullman, Pradip K. Das, Shanshan Han and Salman Avestimehr. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and ACM SIGMOD Record.
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.