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 Logic and Control Systems 19
- Neural Networks and Applications 18
- Privacy-Preserving Technologies in Data 8
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- Fuzzy Systems and Optimization 12
- Co-authors
- Ram Bilas Pachori (12 shared papers)U. Rajendra Acharya (8 shared papers)Regina Stoll (35 shared papers)Norbert Stoll (28 shared papers)Matthias Weippert (10 shared papers)Steffi Kreuzfeld (7 shared papers)Annika Rieger (6 shared papers)Rishi Raj Sharma (5 shared papers)
In The Last Decade
Mohit Kumar
141 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 166
- Cardiology and Cardiovascular Medicine 873
- Cognitive Neuroscience 544
- Statistics and Probability 148
- Signal Processing 203
- Artificial Intelligence 521
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 155 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 248 | |
| 2 | 2007 | 129 | |
| 3 | 2017 | 126 | |
| 4 | 2016 | 119 | |
| 5 | 2016 | 95 | |
| 6 | 2018 | 93 | |
| 7 | 2020 | 86 | |
| 8 | 2017 | 78 | |
| 9 | 2021 | 58 | |
| 10 | 2017 | 56 | |
| 11 | 2017 | 54 | |
| 12 | 2016 | 46 | |
| 13 | 2019 | 43 | |
| 14 | 2018 | 43 | |
| 15 | 2018 | 42 | |
| 16 | 2017 | 40 | |
| 17 | 2015 | 37 | |
| 18 | 2017 | 35 | |
| 19 | 2016 | 32 | |
| 20 | 2006 | 31 |
About Mohit Kumar
Mohit Kumar is a scholar working on Artificial Intelligence, Statistics and Probability, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 155 papers that have together received 2.5k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (19 papers), Neural Networks and Applications (18 papers), Non-Invasive Vital Sign Monitoring (16 papers), Heart Rate Variability and Autonomic Control (15 papers), ECG Monitoring and Analysis (12 papers), Fuzzy Systems and Optimization (12 papers), EEG and Brain-Computer Interfaces (11 papers) and Privacy-Preserving Technologies in Data (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (873 citations), Cognitive Neuroscience (544 citations), Statistics and Probability (148 citations), Signal Processing (203 citations) and Artificial Intelligence (521 citations). Mohit Kumar has collaborated with scholars based in India, Germany and China. Frequent co-authors include Ram Bilas Pachori, U. Rajendra Acharya, Regina Stoll, Norbert Stoll, Matthias Weippert, Steffi Kreuzfeld, Annika Rieger, Rishi Raj Sharma, Weiping Zhang and Dagmar Arndt. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, Fuzzy Optimization and Decision Making, Biomedical Signal Processing and Control, EURASIP Journal on Wireless Communications and Networking and IEEE Sensors Journal.
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.