Mohit Kumar
Impact in
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- ECG Monitoring and Analysis
- Heart Rate Variability and Autonomic Control
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
Papers in ⓘ
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- Fuzzy Systems and Optimization 13
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- Fuzzy Logic and Control Systems 20
- Neural Networks and Applications 19
- Privacy-Preserving Technologies in Data 8
- Co-authors
- Ram Bilas Pachori (10 shared papers)Regina Stoll (35 shared papers)U. Rajendra Acharya (8 shared papers)Norbert Stoll (28 shared papers)Matthias Weippert (11 shared papers)Steffi Kreuzfeld (7 shared papers)Annika Rieger (6 shared papers)Weiping Zhang (16 shared papers)
In The Last Decade
Mohit Kumar
129 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 162
- Cardiology and Cardiovascular Medicine 841
- Cognitive Neuroscience 498
- Statistics and Probability 146
- Signal Processing 181
- Artificial Intelligence 502
Countries citing papers authored by Mohit Kumar
This map shows the geographic impact of Mohit Kumar'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 Mohit Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohit Kumar more than expected).
Fields of papers citing papers by Mohit Kumar
This network shows the impact of papers produced by Mohit Kumar. 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 Mohit Kumar. The network helps show where Mohit Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohit Kumar, 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 142 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 236 | |
| 2 | 2007 | 122 | |
| 3 | 2017 | 110 | |
| 4 | 2016 | 107 | |
| 5 | 2018 | 87 | |
| 6 | 2016 | 85 | |
| 7 | 2020 | 76 | |
| 8 | 2017 | 71 | |
| 9 | 2017 | 53 | |
| 10 | 2017 | 53 | |
| 11 | 2021 | 49 | |
| 12 | 2017 | 42 | |
| 13 | 2019 | 40 | |
| 14 | 2016 | 40 | |
| 15 | 2018 | 38 | |
| 16 | 2018 | 37 | |
| 17 | 2015 | 34 | |
| 18 | 2017 | 32 | |
| 19 | 2020 | 29 | |
| 20 | 2016 | 28 |
About Mohit Kumar
Mohit Kumar is a scholar working on Statistics and Probability, Artificial Intelligence, Cardiology and Cardiovascular Medicine, Medical Laboratory Technology and Computer Vision and Pattern Recognition, having authored 142 papers that have together received 2.2k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (20 papers), Neural Networks and Applications (19 papers), Heart Rate Variability and Autonomic Control (17 papers), Non-Invasive Vital Sign Monitoring (15 papers), Fuzzy Systems and Optimization (13 papers), ECG Monitoring and Analysis (11 papers), EEG and Brain-Computer Interfaces (10 papers) and Privacy-Preserving Technologies in Data (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (841 citations), Cognitive Neuroscience (498 citations), Statistics and Probability (146 citations), Signal Processing (181 citations) and Artificial Intelligence (502 citations). Mohit Kumar has collaborated with scholars based in India, Germany and China. Frequent co-authors include Ram Bilas Pachori, Regina Stoll, U. Rajendra Acharya, Norbert Stoll, Matthias Weippert, Steffi Kreuzfeld, Annika Rieger, Weiping Zhang, D. Arndt and Rishi Raj Sharma. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, Fuzzy Optimization and Decision Making, Information Sciences, Biomedical Signal Processing and Control and Scientific Reports.
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.