Gaurav N. Pradhan
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems 5
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- Vestibular and auditory disorders 6
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- Balance, Gait, and Falls Prevention 5
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- Context-Aware Activity Recognition Systems 5
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- Muscle activation and electromyography studies 10
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- Time Series Analysis and Forecasting 6
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- High Altitude and Hypoxia 5
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- Traumatic Brain Injury Research 3
- Co-authors
- Balakrishnan PrabhakaranJan StepánekMichael J. CevetteDaniela CoccoBenn E. SmithChuanjun LiSethuraman PanchanathanRita Chattopadhyay
- Journals
- International Journal of Computational Intelligence Systems (1 paper)IEEE Multimedia (1 paper)ACM Transactions on Embedded Computing Systems (1 paper)
- Partner nations
- United StatesIndiaNorway
In The Last Decade
Gaurav N. Pradhan
37 papers receiving 323 citations
Peers
Comparison fields: 5 of 72
- Human-Computer Interaction 67
- Neurology 52
- Physical Therapy, Sports Therapy and Rehabilitation 20
- Cognitive Neuroscience 74
- Computer Vision and Pattern Recognition 61
Countries citing papers authored by Gaurav N. Pradhan
This map shows the geographic impact of Gaurav N. Pradhan'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 Gaurav N. Pradhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaurav N. Pradhan more than expected).
Fields of papers citing papers by Gaurav N. Pradhan
This network shows the impact of papers produced by Gaurav N. Pradhan. 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 Gaurav N. Pradhan. The network helps show where Gaurav N. Pradhan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gaurav N. Pradhan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 10 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 19 | |
| 7 | 2019 | 3 | |
| 8 | 2017 | 14 | |
| 9 | 2017 | 3 | |
| 10 | 2013 | 10 | |
| 11 | 2013 | 26 | |
| 12 | 2012 | 3 | |
| 13 | 2012 | 48 | |
| 14 | 2012 | 3 | |
| 15 | 2010 | 9 | |
| 16 | 2009 | 13 | |
| 17 | 2009 | 2 | |
| 18 | 2009 | 5 | |
| 19 | 2008 | 20 | |
| 20 | 2008 | 1 |
About Gaurav N. Pradhan
Gaurav N. Pradhan is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Human-Computer Interaction, Neurology, Signal Processing and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 339 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (10 papers), Time Series Analysis and Forecasting (6 papers), Vestibular and auditory disorders (6 papers), Context-Aware Activity Recognition Systems (5 papers), Balance, Gait, and Falls Prevention (5 papers), High Altitude and Hypoxia (5 papers), Hand Gesture Recognition Systems (5 papers) and Traumatic Brain Injury Research (3 papers). The work is most often cited by research in Human-Computer Interaction (67 citations), Neurology (52 citations), Physical Therapy, Sports Therapy and Rehabilitation (20 citations), Cognitive Neuroscience (74 citations) and Computer Vision and Pattern Recognition (61 citations). Gaurav N. Pradhan has collaborated with scholars based in United States, India and Norway. Frequent co-authors include Balakrishnan Prabhakaran, Jan Stepánek, Michael J. Cevette, Daniela Cocco, Benn E. Smith, Chuanjun Li, Sethuraman Panchanathan, Rita Chattopadhyay, Fabian Kühn and Navzer D. Engineer. Their work appears in journals such as International Journal of Computational Intelligence Systems, IEEE Multimedia, ACM Transactions on Embedded Computing Systems, Journal of Applied Physiology and Journal of Vestibular Research.
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.