Suraj Gowda
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
-
- Neuroscience and Neural Engineering
Papers in
-
- EEG and Brain-Computer Interfaces 13
- Neural dynamics and brain function 7
- Motor Control and Adaptation 3
-
- Neuroscience and Neural Engineering 11
- Co-authors
- Jose M. Carmena (14 shared papers)Helene G. Moorman (6 shared papers)Amy L. Orsborn (6 shared papers)Siddharth Dangi (4 shared papers)Maryam M. Shanechi (3 shared papers)Simon A. Overduin (3 shared papers)Rodolphe Héliot (1 shared paper)Dan Werthimer (3 shared papers)
- Journals
- IEEE Transactions on Neural Systems and Rehabilitation Engineering (2 papers)Current Biology (1 paper)Nature Communications (1 paper)Radiology Cardiothoracic Imaging (1 paper)Journal of Dynamic Systems Measurement and Control (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Suraj Gowda
20 papers receiving 247 citations
Peers
Comparison fields: 5 of 41
- Cognitive Neuroscience 206
- Cellular and Molecular Neuroscience 151
- Human-Computer Interaction 22
- Biomedical Engineering 63
- Electrical and Electronic Engineering 79
Countries citing papers authored by Suraj Gowda
This map shows the geographic impact of Suraj Gowda'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 Suraj Gowda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suraj Gowda more than expected).
Fields of papers citing papers by Suraj Gowda
This network shows the impact of papers produced by Suraj Gowda. 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 Suraj Gowda. The network helps show where Suraj Gowda may publish in the future.
Co-authors
The 25 scholars most cited alongside Suraj Gowda, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 77 | |
| 2 | 2011 | 29 | |
| 3 | 2014 | 29 | |
| 4 | 2014 | 27 | |
| 5 | A 1mm 3 2Mbps 330fJ/b transponder for implanted neural sensors | 2011 | 26 |
| 6 | 2014 | 19 | |
| 7 | 2016 | 10 | |
| 8 | 2016 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2013 | 4 | |
| 11 | 2013 | 4 | |
| 12 | 2021 | 3 | |
| 13 | 2015 | 3 | |
| 14 | 2019 | 3 | |
| 15 | 2012 | 3 | |
| 16 | 2024 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2017 | 1 |
About Suraj Gowda
Suraj Gowda is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering and Artificial Intelligence, having authored 28 papers that have together received 253 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (13 papers), Neuroscience and Neural Engineering (11 papers), Neural dynamics and brain function (7 papers), Muscle activation and electromyography studies (4 papers), Advanced Memory and Neural Computing (3 papers), Motor Control and Adaptation (3 papers), Cardiac Imaging and Diagnostics (2 papers) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Cognitive Neuroscience (206 citations), Cellular and Molecular Neuroscience (151 citations), Human-Computer Interaction (22 citations), Biomedical Engineering (63 citations) and Electrical and Electronic Engineering (79 citations). Suraj Gowda has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Jose M. Carmena, Helene G. Moorman, Amy L. Orsborn, Siddharth Dangi, Maryam M. Shanechi, Simon A. Overduin, Rodolphe Héliot, Dan Werthimer, Yulin Chen and Jan M. Rabaey. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, Current Biology, Nature Communications, Radiology Cardiothoracic Imaging and Journal of Dynamic Systems Measurement and Control.
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.