Jayroop Ramesh
Impact in
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- Artificial Intelligence in Healthcare
- Health Informatics top 10%
Papers in
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- Mental Health Research Topics 3
- Emotion and Mood Recognition 3
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- Smart Grid Energy Management 3
- Energy Load and Power Forecasting 2
- Co-authors
- Assim Sagahyroon (12 shared papers)Raafat Aburukba (9 shared papers)Fadi Aloul (9 shared papers)A. R. Al-Ali (6 shared papers)Ahmed Osman (3 shared papers)Mostafa F. Shaaban (3 shared papers)Sakib Shahriar (2 shared papers)Ahmad Al Nabulsi (1 shared paper)
- Journals
- Applied Sciences (3 papers)IEEE Access (2 papers)IEEE Sensors Journal (1 paper)Sensors (1 paper)Energies (1 paper)
- Partner nations
- United Arab EmiratesUnited StatesUnited Kingdom
In The Last Decade
Jayroop Ramesh
18 papers receiving 297 citations
Peers
Comparison fields: 5 of 67
- Health Information Management 95
- Health Informatics 12
- Applied Psychology 18
- Experimental and Cognitive Psychology 35
- Complementary and alternative medicine 18
Countries citing papers authored by Jayroop Ramesh
This map shows the geographic impact of Jayroop Ramesh'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 Jayroop Ramesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayroop Ramesh more than expected).
Fields of papers citing papers by Jayroop Ramesh
This network shows the impact of papers produced by Jayroop Ramesh. 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 Jayroop Ramesh. The network helps show where Jayroop Ramesh may publish in the future.
Co-authors
The 15 scholars most cited alongside Jayroop Ramesh, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 127 | |
| 2 | 2021 | 44 | |
| 3 | 2021 | 34 | |
| 4 | 2023 | 22 | |
| 5 | 2023 | 19 | |
| 6 | 2022 | 18 | |
| 7 | 2022 | 18 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 6 | |
| 10 | 2025 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2020 | 3 | |
| 13 | 2022 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2023 | 0 |
About Jayroop Ramesh
Jayroop Ramesh is a scholar working on Experimental and Cognitive Psychology, Electrical and Electronic Engineering, Artificial Intelligence, Cardiology and Cardiovascular Medicine and Applied Psychology, having authored 22 papers that have together received 313 indexed citations. Recurring topics across this work include Digital Mental Health Interventions (3 papers), Mental Health Research Topics (3 papers), Emotion and Mood Recognition (3 papers), Smart Grid Energy Management (3 papers), Obstructive Sleep Apnea Research (2 papers), Energy Load and Power Forecasting (2 papers), Non-Invasive Vital Sign Monitoring (2 papers) and Cloud Computing and Resource Management (2 papers). The work is most often cited by research in Health Information Management (95 citations), Health Informatics (12 citations), Applied Psychology (18 citations), Experimental and Cognitive Psychology (35 citations) and Complementary and alternative medicine (18 citations). Jayroop Ramesh has collaborated with scholars based in United Arab Emirates, United States and United Kingdom. Frequent co-authors include Assim Sagahyroon, Raafat Aburukba, Fadi Aloul, A. R. Al-Ali, Ahmed Osman, Mostafa F. Shaaban, Sakib Shahriar, Ahmad Al Nabulsi, Amar Hassan Khamis and Imran Zualkernan. Their work appears in journals such as Applied Sciences, IEEE Access, IEEE Sensors Journal, Sensors and Energies.
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.