Sumit Soman
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in
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- Machine Learning and ELM 6
- Evolutionary Algorithms and Applications 5
- Machine Learning and Algorithms 5
- Metaheuristic Optimization Algorithms Research 5
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- Electronic Health Records Systems 8
- Co-authors
- Jayadeva (19 shared papers)P. K. Srivastava (8 shared papers)B. K. Murthy (2 shared papers)Mayank Sharma (8 shared papers)Himanshu Pant (7 shared papers)Siddharth Srivastava (3 shared papers)Manan Suri (1 shared paper)U. K. Arun Kumar (5 shared papers)
In The Last Decade
Sumit Soman
39 papers receiving 386 citations
Peers
Comparison fields: 5 of 94
- Health Information Management 39
- Cognitive Neuroscience 138
- Human-Computer Interaction 43
- Health Informatics 5
- Artificial Intelligence 128
Countries citing papers authored by Sumit Soman
This map shows the geographic impact of Sumit Soman'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 Soman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Soman more than expected).
Fields of papers citing papers by Sumit Soman
This network shows the impact of papers produced by Sumit Soman. 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 Soman. The network helps show where Sumit Soman may publish in the future.
Co-authors
The 18 scholars most cited alongside Sumit Soman, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 49 | |
| 2 | 2017 | 37 | |
| 3 | 2016 | 30 | |
| 4 | 2015 | 27 | |
| 5 | 2019 | 24 | |
| 6 | 2014 | 23 | |
| 7 | 2023 | 22 | |
| 8 | 2012 | 17 | |
| 9 | 2017 | 16 | |
| 10 | 2016 | 16 | |
| 11 | 2015 | 13 | |
| 12 | 2015 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2017 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2017 | 8 | |
| 17 | 2018 | 8 | |
| 18 | 2020 | 8 | |
| 19 | 2013 | 7 | |
| 20 | 2015 | 7 |
About Sumit Soman
Sumit Soman is a scholar working on Artificial Intelligence, Health Information Management, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 41 papers that have together received 407 indexed citations. Recurring topics across this work include Face and Expression Recognition (8 papers), Electronic Health Records Systems (8 papers), EEG and Brain-Computer Interfaces (8 papers), Machine Learning and ELM (6 papers), Evolutionary Algorithms and Applications (5 papers), Machine Learning and Algorithms (5 papers), Neuroscience and Neural Engineering (5 papers) and Metaheuristic Optimization Algorithms Research (5 papers). The work is most often cited by research in Health Information Management (39 citations), Cognitive Neuroscience (138 citations), Human-Computer Interaction (43 citations), Health Informatics (5 citations) and Artificial Intelligence (128 citations). Sumit Soman has collaborated with scholars based in India, Brazil and Sweden. Frequent co-authors include Jayadeva, P. K. Srivastava, B. K. Murthy, Mayank Sharma, Himanshu Pant, Siddharth Srivastava, Manan Suri, U. K. Arun Kumar, Dinesh Kumar and Sridhar P. Arjunan. Their work appears in journals such as Swarm and Evolutionary Computation, IEEE Transactions on Computers, Applied Soft Computing, Neurocomputing and Neural Networks.
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.