Pramod Gaur
Impact in
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Human-Computer Interaction top 2%
- Gaze Tracking and Assistive Technology
Papers in
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- EEG and Brain-Computer Interfaces 11
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- Neuroscience and Neural Engineering 7
- Co-authors
- Ram Bilas Pachori (12 shared papers)Hui Wang (9 shared papers)Girijesh Prasad (7 shared papers)Karl McCreadie (4 shared papers)Anirban Chowdhury (3 shared papers)Harsh Gupta (1 shared paper)Mukesh Kumar Gupta (1 shared paper)Abhay Gupta (1 shared paper)
- Journals
- Biomedical Signal Processing and Control (3 papers)IEEE Sensors Journal (2 papers)IEEE Transactions on Cognitive and Developmental Systems (1 paper)Image and Vision Computing (1 paper)IEEE Transactions on Instrumentation and Measurement (1 paper)
- Partner nations
- IndiaUnited KingdomUnited Arab Emirates
In The Last Decade
Pramod Gaur
15 papers receiving 884 citations
Pramod Gaur's Hit Papers
Peers
Comparison fields: 5 of 81
- Cognitive Neuroscience 729
- Human-Computer Interaction 155
- Signal Processing 244
- Cellular and Molecular Neuroscience 295
- Cardiology and Cardiovascular Medicine 88
Countries citing papers authored by Pramod Gaur
This map shows the geographic impact of Pramod Gaur'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 Pramod Gaur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pramod Gaur more than expected).
Fields of papers citing papers by Pramod Gaur
This network shows the impact of papers produced by Pramod Gaur. 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 Pramod Gaur. The network helps show where Pramod Gaur may publish in the future.
Co-authors
The 16 scholars most cited alongside Pramod Gaur, 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 | 2017 | 192 | |
| 2 | A Sliding Window Common Spatial Pattern for Enhancing Motor Imagery Classification in EEG-BCI Hit paper breakdown → | 2021 | 186 |
| 3 | 2015 | 81 | |
| 4 | 2019 | 80 | |
| 5 | 2019 | 69 | |
| 6 | 2021 | 68 | |
| 7 | 2021 | 54 | |
| 8 | 2024 | 38 | |
| 9 | 2016 | 34 | |
| 10 | 2022 | 29 | |
| 11 | 2021 | 22 | |
| 12 | 2023 | 21 | |
| 13 | 2022 | 20 | |
| 14 | 2022 | 5 | |
| 15 | An MEG Based BCI for Classification of Multi-Direction Wrist Movements Using Empirical Mode Decomposition | 2016 | 1 |
| 16 | 2020 | 0 |
About Pramod Gaur
Pramod Gaur is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Signal Processing, Electrical and Electronic Engineering and Information Systems, having authored 16 papers that have together received 900 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Neuroscience and Neural Engineering (7 papers), Blind Source Separation Techniques (6 papers), Advanced Memory and Neural Computing (4 papers), Gaze Tracking and Assistive Technology (1 paper), ECG Monitoring and Analysis (1 paper), COVID-19 diagnosis using AI (1 paper) and Face and Expression Recognition (1 paper). The work is most often cited by research in Cognitive Neuroscience (729 citations), Human-Computer Interaction (155 citations), Signal Processing (244 citations), Cellular and Molecular Neuroscience (295 citations) and Cardiology and Cardiovascular Medicine (88 citations). Pramod Gaur has collaborated with scholars based in India, United Kingdom and United Arab Emirates. Frequent co-authors include Ram Bilas Pachori, Hui Wang, Girijesh Prasad, Karl McCreadie, Anirban Chowdhury, Harsh Gupta, Mukesh Kumar Gupta, Abhay Gupta, Rishi Raj Sharma and Siddhaling Urolagin. Their work appears in journals such as Biomedical Signal Processing and Control, IEEE Sensors Journal, IEEE Transactions on Cognitive and Developmental Systems, Image and Vision Computing and IEEE Transactions on Instrumentation and Measurement.
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.