V. Sharma
Impact in
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- Corporate Finance and Governance
Papers in
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- Photonic and Optical Devices 4
- Advanced Wireless Network Optimization 2
- Optical Network Technologies 2
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- IoT and Edge/Fog Computing 3
- Network Traffic and Congestion Control 2
- Co-authors
- Dimitris Kanellopoulos (1 shared paper)Piyush Agrawal (2 shared papers)Jatinder Singh (2 shared papers)Tansu Alpcan (2 shared papers)Kamil Kuča (2 shared papers)Jörg S. Eismann (3 shared papers)Reena Singh (3 shared papers)Peter Banzer (3 shared papers)
- Journals
- Journal of Functional Foods (1 paper)Current Pharmaceutical Design (1 paper)Nature Communications (1 paper)Journal of Comparative Physiology A (1 paper)Communications Physics (1 paper)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
V. Sharma
29 papers receiving 256 citations
Peers
Comparison fields: 5 of 102
- Finance 33
- Accounting 34
- Strategy and Management 40
- Computer Networks and Communications 55
- Biological Psychiatry 5
Countries citing papers authored by V. Sharma
This map shows the geographic impact of V. 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 V. Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Sharma more than expected).
Fields of papers citing papers by V. Sharma
This network shows the impact of papers produced by V. 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 V. Sharma. The network helps show where V. Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside V. 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
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 62 | |
| 2 | 2022 | 44 | |
| 3 | 2024 | 25 | |
| 4 | 2022 | 24 | |
| 5 | 2007 | 22 | |
| 6 | 2023 | 20 | |
| 7 | 2008 | 13 | |
| 8 | 2020 | 11 | |
| 9 | 2023 | 7 | |
| 10 | 2019 | 7 | |
| 11 | 2022 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2015 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2017 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2015 | 2 | |
| 20 | 2023 | 2 |
About V. Sharma
V. Sharma is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Mechanical Engineering and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 273 indexed citations. Recurring topics across this work include Photonic and Optical Devices (4 papers), Neural Networks and Reservoir Computing (3 papers), IoT and Edge/Fog Computing (3 papers), Advanced Wireless Network Optimization (2 papers), Advanced machining processes and optimization (2 papers), Optical Network Technologies (2 papers), Network Traffic and Congestion Control (2 papers) and Hand Gesture Recognition Systems (2 papers). The work is most often cited by research in Finance (33 citations), Accounting (34 citations), Strategy and Management (40 citations), Computer Networks and Communications (55 citations) and Biological Psychiatry (5 citations). V. Sharma has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Dimitris Kanellopoulos, Piyush Agrawal, Jatinder Singh, Tansu Alpcan, Kamil Kuča, Jörg S. Eismann, Reena Singh, Peter Banzer, Chirag Chopra and Eugenie Nepovimová. Their work appears in journals such as Journal of Functional Foods, Current Pharmaceutical Design, Nature Communications, Journal of Comparative Physiology A and Communications Physics.
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.