Ronesh Sharma
Impact in
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- Gaze Tracking and Assistive Technology
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- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
Papers in
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- Machine Learning in Bioinformatics 10
- RNA and protein synthesis mechanisms 9
- Protein Structure and Dynamics 8
- Genomics and Phylogenetic Studies 3
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- Energy Efficient Wireless Sensor Networks 1
- Co-authors
- Alok Sharma (13 shared papers)Tatsuhiko Tsunoda (12 shared papers)Ashwini Patil (5 shared papers)Shiu Kumar (6 shared papers)Abdollah Dehzangi (4 shared papers)James Lyons (2 shared papers)Kuldip K. Paliwal (2 shared papers)Thirumananseri Kumarevel (2 shared papers)
In The Last Decade
Ronesh Sharma
17 papers receiving 375 citations
Peers
Comparison fields: 5 of 67
- Human-Computer Interaction 23
- Molecular Biology 261
- Cognitive Neuroscience 60
- Modeling and Simulation 8
- Cellular and Molecular Neuroscience 31
Countries citing papers authored by Ronesh Sharma
This map shows the geographic impact of Ronesh 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 Ronesh Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronesh Sharma more than expected).
Fields of papers citing papers by Ronesh Sharma
This network shows the impact of papers produced by Ronesh 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 Ronesh Sharma. The network helps show where Ronesh Sharma may publish in the future.
Co-authors
The 15 scholars most cited alongside Ronesh 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 | 2015 | 69 | |
| 2 | 2018 | 52 | |
| 3 | 2017 | 41 | |
| 4 | 2018 | 33 | |
| 5 | 2021 | 32 | |
| 6 | 2016 | 27 | |
| 7 | 2016 | 27 | |
| 8 | 2021 | 18 | |
| 9 | 2019 | 16 | |
| 10 | 2016 | 16 | |
| 11 | 2019 | 14 | |
| 12 | 2020 | 13 | |
| 13 | 2022 | 13 | |
| 14 | 2013 | 3 | |
| 15 | 2013 | 2 | |
| 16 | 2013 | 1 | |
| 17 | 2015 | 1 |
About Ronesh Sharma
Ronesh Sharma is a scholar working on Molecular Biology, Computer Networks and Communications, Cognitive Neuroscience, Industrial and Manufacturing Engineering and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 378 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (10 papers), RNA and protein synthesis mechanisms (9 papers), Protein Structure and Dynamics (8 papers), Genomics and Phylogenetic Studies (3 papers), EEG and Brain-Computer Interfaces (2 papers), Gaze Tracking and Assistive Technology (1 paper), COVID-19 diagnosis using AI (1 paper) and Energy Efficient Wireless Sensor Networks (1 paper). The work is most often cited by research in Human-Computer Interaction (23 citations), Molecular Biology (261 citations), Cognitive Neuroscience (60 citations), Modeling and Simulation (8 citations) and Cellular and Molecular Neuroscience (31 citations). Ronesh Sharma has collaborated with scholars based in Fiji, Japan and Australia. Frequent co-authors include Alok Sharma, Tatsuhiko Tsunoda, Ashwini Patil, Shiu Kumar, Abdollah Dehzangi, James Lyons, Kuldip K. Paliwal, Thirumananseri Kumarevel, Edwin Vans and Artem Lysenko. Their work appears in journals such as BMC Bioinformatics, Gene, BMC Genomics, Journal of Theoretical Biology and IEEE Transactions on NanoBioscience.
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.