Sumit Saroha
Impact in
- Artificial Intelligence top 5%
- Solar Radiation and Photovoltaics
- Neural Networks and Applications
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- Neural Networks Stability and Synchronization
- Nonlinear Dynamics and Pattern Formation
Papers in
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- Energy Load and Power Forecasting 22
- Electric Power System Optimization 9
- Smart Grid Energy Management 3
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- Solar Radiation and Photovoltaics 21
- Co-authors
- Pardeep Singla (12 shared papers)Manoj Duhan (9 shared papers)M. Syed Ali (6 shared papers)G. Narayanan (2 shared papers)S. K. Aggarwal (6 shared papers)Sabri Arik (1 shared paper)Bandana Priya (1 shared paper)Ganesh Kumar Thakur (1 shared paper)
In The Last Decade
Sumit Saroha
31 papers receiving 632 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 325
- Computer Networks and Communications 202
- Renewable Energy, Sustainability and the Environment 122
- Statistical and Nonlinear Physics 89
- Electrical and Electronic Engineering 342
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 19 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 91 | |
| 2 | 2021 | 84 | |
| 3 | 2021 | 76 | |
| 4 | 2021 | 52 | |
| 5 | 2018 | 38 | |
| 6 | 2023 | 32 | |
| 7 | 2022 | 29 | |
| 8 | 2020 | 28 | |
| 9 | 2022 | 28 | |
| 10 | 2022 | 26 | |
| 11 | 2021 | 24 | |
| 12 | 2021 | 17 | |
| 13 | 2020 | 17 | |
| 14 | 2024 | 12 | |
| 15 | 2012 | 11 | |
| 16 | 2024 | 10 | |
| 17 | 2021 | 10 | |
| 18 | 2021 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2014 | 7 |
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 38 papers that have together received 646 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (22 papers), Solar Radiation and Photovoltaics (21 papers), Photovoltaic System Optimization Techniques (10 papers), Electric Power System Optimization (9 papers), Neural Networks Stability and Synchronization (6 papers), Microgrid Control and Optimization (3 papers), Distributed Control Multi-Agent Systems (3 papers) and Smart Grid Energy Management (3 papers). The work is most often cited by research in Artificial Intelligence (325 citations), Computer Networks and Communications (202 citations), Renewable Energy, Sustainability and the Environment (122 citations), Statistical and Nonlinear Physics (89 citations) and Electrical and Electronic Engineering (342 citations). Sumit Saroha has collaborated with scholars based in India, Nepal and Thailand. Frequent co-authors include Pardeep Singla, Manoj Duhan, M. Syed Ali, G. Narayanan, S. K. Aggarwal, Sabri Arik, Bandana Priya, Ganesh Kumar Thakur, Porpattama Hammachukiattikul and Grienggrai Rajchakit. Their work appears in journals such as Energy Sources Part A Recovery Utilization and Environmental Effects, Mathematics and Computers in Simulation, Arabian Journal for Science and Engineering, Mathematical Methods in the Applied Sciences and IEEE Access.
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.