Dinesh Kumar
Impact in
- Cognitive Neuroscience top 1%
- EEG and Brain-Computer Interfaces
- Human-Computer Interaction top 1%
Papers in
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- Muscle activation and electromyography studies 93
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- EEG and Brain-Computer Interfaces 80
- Co-authors
- Sridhar P. Arjunan (110 shared papers)Ganesh R. Naik (51 shared papers)K.N. Rai (8 shared papers)Nemuel Daniel Pah (29 shared papers)Behzad Aliahmad (38 shared papers)Pappu Kumar (6 shared papers)Howard Marshall (2 shared papers)Stephen Salloway (4 shared papers)
- Journals
- American Journal of Obstetrics and Gynecology (13 papers)Neurology (9 papers)Scientific Reports (7 papers)Computer Methods and Programs in Biomedicine (6 papers)SLEEP (6 papers)
- Partner nations
- IndiaAustraliaUnited States
In The Last Decade
Dinesh Kumar
780 papers receiving 11.5k citations
Peers
Comparison fields: 5 of 213
- Cognitive Neuroscience 1.4k
- Human-Computer Interaction 389
- Signal Processing 695
- Ophthalmology 461
- Radiology, Nuclear Medicine and Imaging 1.1k
Countries citing papers authored by Dinesh Kumar
This map shows the geographic impact of Dinesh 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 Dinesh Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dinesh Kumar more than expected).
Fields of papers citing papers by Dinesh Kumar
This network shows the impact of papers produced by Dinesh 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 Dinesh Kumar. The network helps show where Dinesh Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Dinesh 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 859 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 258 | |
| 2 | 2004 | 235 | |
| 3 | 2006 | 200 | |
| 4 | 2011 | 147 | |
| 5 | 2003 | 138 | |
| 6 | 1997 | 135 | |
| 7 | 2013 | 123 | |
| 8 | 2015 | 114 | |
| 9 | 2021 | 113 | |
| 10 | 2009 | 112 | |
| 11 | 2005 | 111 | |
| 12 | 2010 | 107 | |
| 13 | 2006 | 107 | |
| 14 | 2011 | 105 | |
| 15 | 1993 | 101 | |
| 16 | 2018 | 101 | |
| 17 | 1986 | 100 | |
| 18 | 2017 | 98 | |
| 19 | 2017 | 95 | |
| 20 | 2021 | 94 |
About Dinesh Kumar
Dinesh Kumar is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Signal Processing, having authored 859 papers that have together received 12.2k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (93 papers), EEG and Brain-Computer Interfaces (80 papers), Retinal Imaging and Analysis (42 papers), Blind Source Separation Techniques (41 papers), Neural Networks and Applications (32 papers), Neuroscience and Neural Engineering (29 papers), Glaucoma and retinal disorders (27 papers) and Hand Gesture Recognition Systems (25 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Human-Computer Interaction (389 citations), Signal Processing (695 citations), Ophthalmology (461 citations) and Radiology, Nuclear Medicine and Imaging (1.1k citations). Dinesh Kumar has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Sridhar P. Arjunan, Ganesh R. Naik, K.N. Rai, Nemuel Daniel Pah, Behzad Aliahmad, Pappu Kumar, Howard Marshall, Stephen Salloway, Pradeep Kumar and Ravi Mehrotra. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Neurology, Scientific Reports, Computer Methods and Programs in Biomedicine and SLEEP.
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.