Sumit Soman
Impact in
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology
Papers in
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- Electronic Health Records Systems 8
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- Machine Learning and ELM 6
- Machine Learning and Algorithms 5
- Evolutionary Algorithms and Applications 4
- Metaheuristic Optimization Algorithms Research 4
- Co-authors
- Jayadeva (18 shared papers)Praveen Kumar Srivastava (8 shared papers)Bhagwan K. Murthy (2 shared papers)Himanshu Pant (7 shared papers)Mayank Sharma (8 shared papers)Siddharth Srivastava (4 shared papers)Manan Suri (1 shared paper)U. K. Arun Kumar (4 shared papers)
In The Last Decade
Sumit Soman
38 papers receiving 389 citations
Peers
Comparison fields: 5 of 95
- Health Information Management 39
- Human-Computer Interaction 44
- Cognitive Neuroscience 136
- Signal Processing 42
- Artificial Intelligence 127
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 49 | |
| 2 | 2017 | 36 | |
| 3 | 2016 | 30 | |
| 4 | 2015 | 27 | |
| 5 | 2019 | 25 | |
| 6 | 2023 | 23 | |
| 7 | 2014 | 22 | |
| 8 | 2012 | 17 | |
| 9 | 2016 | 16 | |
| 10 | 2017 | 16 | |
| 11 | 2015 | 14 | |
| 12 | 2015 | 12 | |
| 13 | 2020 | 11 | |
| 14 | 2017 | 10 | |
| 15 | 2020 | 8 | |
| 16 | 2018 | 8 | |
| 17 | 2020 | 8 | |
| 18 | 2017 | 8 | |
| 19 | 2013 | 7 | |
| 20 | 2015 | 7 |
About Sumit Soman
Sumit Soman is a scholar working on Health Information Management, Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 42 papers that have together received 407 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Face and Expression Recognition (8 papers), Electronic Health Records Systems (8 papers), Machine Learning and ELM (6 papers), Neuroscience and Neural Engineering (5 papers), Machine Learning and Algorithms (5 papers), Evolutionary Algorithms and Applications (4 papers) and Metaheuristic Optimization Algorithms Research (4 papers). The work is most often cited by research in Health Information Management (39 citations), Human-Computer Interaction (44 citations), Cognitive Neuroscience (136 citations), Signal Processing (42 citations) and Artificial Intelligence (127 citations). Sumit Soman has collaborated with scholars based in India, Sweden and Brazil. Frequent co-authors include Jayadeva, Praveen Kumar Srivastava, Bhagwan K. Murthy, Himanshu Pant, Mayank Sharma, Siddharth Srivastava, Manan Suri, U. K. Arun Kumar, Sridhar P. Arjunan and Dinesh Kumar. Their work appears in journals such as IEEE Transactions on Computers, Neurocomputing, Applied Soft Computing, Swarm and Evolutionary Computation and Information Sciences.
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.