Avinash Sharma
Impact in
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- Stroke Rehabilitation and Recovery
Papers in
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- Plant Physiology and Cultivation Studies 2
- Smart Agriculture and AI 2
- Co-authors
- Dankan Gowda (3 shared papers)Khalid Mohiuddin (2 shared papers)Christopher L. Hunt (3 shared papers)Nitish V. Thakor (3 shared papers)Devendra Prasad (1 shared paper)KDV Prasad (1 shared paper)Rahul R. Kaliki (2 shared papers)Luke E. Osborn (2 shared papers)
- Journals
- Trends in Food Science & Technology (1 paper)Physiologia Plantarum (1 paper)Journal of Computational and Theoretical Nanoscience (2 papers)Journal of Interdisciplinary Mathematics (1 paper)PLANT ARCHIVES (1 paper)
- Partner nations
- IndiaSingaporeUnited States
In The Last Decade
Avinash Sharma
22 papers receiving 105 citations
Peers
Comparison fields: 5 of 56
- Rehabilitation 7
- Health Information Management 4
- Health Informatics 1
- Information Systems 16
- Artificial Intelligence 21
Countries citing papers authored by Avinash Sharma
This map shows the geographic impact of Avinash 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 Avinash Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avinash Sharma more than expected).
Fields of papers citing papers by Avinash Sharma
This network shows the impact of papers produced by Avinash 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 Avinash Sharma. The network helps show where Avinash Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Avinash 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 18 | |
| 2 | 2019 | 13 | |
| 3 | 2023 | 13 | |
| 4 | 2018 | 13 | |
| 5 | 2024 | 12 | |
| 6 | 2021 | 11 | |
| 7 | 2018 | 8 | |
| 8 | 2022 | 7 | |
| 9 | 2020 | 5 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2019 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2012 | 1 |
About Avinash Sharma
Avinash Sharma is a scholar working on Artificial Intelligence, Plant Science, Information Systems, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 27 papers that have together received 118 indexed citations. Recurring topics across this work include Plant Physiology and Cultivation Studies (2 papers), Muscle activation and electromyography studies (2 papers), Motor Control and Adaptation (2 papers), Stroke Rehabilitation and Recovery (2 papers), Smart Agriculture and AI (2 papers), Infrastructure Maintenance and Monitoring (1 paper), Gene expression and cancer classification (1 paper) and Autonomous Vehicle Technology and Safety (1 paper). The work is most often cited by research in Rehabilitation (7 citations), Health Information Management (4 citations), Health Informatics (1 citation), Information Systems (16 citations) and Artificial Intelligence (21 citations). Avinash Sharma has collaborated with scholars based in India, Singapore and United States. Frequent co-authors include Dankan Gowda, Khalid Mohiuddin, Christopher L. Hunt, Nitish V. Thakor, Devendra Prasad, KDV Prasad, Rahul R. Kaliki, Luke E. Osborn, Jatin Sharma and Naziya Hussain. Their work appears in journals such as Trends in Food Science & Technology, Physiologia Plantarum, Journal of Computational and Theoretical Nanoscience, Journal of Interdisciplinary Mathematics and PLANT ARCHIVES.
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.