Sumit Saroha
Impact in
- Artificial Intelligence top 5%
- Solar Radiation and Photovoltaics
- Neural Networks and Applications
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- Photovoltaic System Optimization Techniques
Papers in
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- Energy Load and Power Forecasting 31
- Electric Power System Optimization 10
- Advanced Memory and Neural Computing 3
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- Solar Radiation and Photovoltaics 30
- Co-authors
- Pardeep Singla (16 shared papers)Manoj Duhan (13 shared papers)M. Syed Ali (7 shared papers)S. K. Aggarwal (7 shared papers)G. Narayanan (2 shared papers)Sabri Arik (1 shared paper)Bandana Priya (1 shared paper)Ganesh Kumar Thakur (1 shared paper)
In The Last Decade
Sumit Saroha
39 papers receiving 735 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 385
- Renewable Energy, Sustainability and the Environment 146
- Computer Networks and Communications 213
- Statistical and Nonlinear Physics 92
- Electrical and Electronic Engineering 400
Countries citing papers authored by Sumit Saroha
This map shows the geographic impact of Sumit Saroha'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 Sumit Saroha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Saroha more than expected).
Fields of papers citing papers by Sumit Saroha
This network shows the impact of papers produced by Sumit Saroha. 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 Sumit Saroha. The network helps show where Sumit Saroha may publish in the future.
Co-authors
The 20 scholars most cited alongside Sumit Saroha, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 95 | |
| 2 | 2021 | 91 | |
| 3 | 2021 | 89 | |
| 4 | 2021 | 56 | |
| 5 | 2018 | 40 | |
| 6 | 2023 | 36 | |
| 7 | 2020 | 31 | |
| 8 | 2022 | 30 | |
| 9 | 2022 | 30 | |
| 10 | 2022 | 26 | |
| 11 | 2021 | 24 | |
| 12 | 2021 | 19 | |
| 13 | 2022 | 19 | |
| 14 | 2024 | 18 | |
| 15 | 2020 | 17 | |
| 16 | 2021 | 15 | |
| 17 | 2024 | 12 | |
| 18 | 2012 | 12 | |
| 19 | 2021 | 11 | |
| 20 | 2021 | 10 |
About Sumit Saroha
Sumit Saroha is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Renewable Energy, Sustainability and the Environment, Computer Networks and Communications and Control and Systems Engineering, having authored 49 papers that have together received 750 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (31 papers), Solar Radiation and Photovoltaics (30 papers), Photovoltaic System Optimization Techniques (18 papers), Electric Power System Optimization (10 papers), Neural Networks Stability and Synchronization (7 papers), Microgrid Control and Optimization (3 papers), Advanced Memory and Neural Computing (3 papers) and Distributed Control Multi-Agent Systems (3 papers). The work is most often cited by research in Artificial Intelligence (385 citations), Renewable Energy, Sustainability and the Environment (146 citations), Computer Networks and Communications (213 citations), Statistical and Nonlinear Physics (92 citations) and Electrical and Electronic Engineering (400 citations). Sumit Saroha has collaborated with scholars based in India, Nepal and Thailand. Frequent co-authors include Pardeep Singla, Manoj Duhan, M. Syed Ali, S. K. Aggarwal, G. Narayanan, Sabri Arik, Bandana Priya, Ganesh Kumar Thakur, Grienggrai Rajchakit and Porpattama Hammachukiattikul. Their work appears in journals such as Energy Sources Part A Recovery Utilization and Environmental Effects, IEEE Access, Energies, Mathematics and Computers in Simulation and International Journal of Electrical Power & Energy Systems.
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.