Pradeep Shenoy
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 5%
- Artificial Intelligence top 5%
- Biomedical Engineering top 10%
- Signal Processing top 2%
- Co-authors
- Rajesh P. N. RaoKai J. MillerAngela J. YuRawichote ChalodhornDesney TanBenjamin BlankertzMatthias KrauledatKlaus‐Robert Müller
- Topics
- EEG and Brain-Computer Interfaces (14 papers)Neural dynamics and brain function (10 papers)Neuroscience and Neural Engineering (7 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Pradeep Shenoy
38 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 107
- Cognitive Neuroscience 1.5k
- Cellular and Molecular Neuroscience 630
- Artificial Intelligence 404
- Biomedical Engineering 381
- Signal Processing 356
Countries citing papers authored by Pradeep Shenoy
This map shows the geographic impact of Pradeep Shenoy'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 Pradeep Shenoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradeep Shenoy more than expected).
Fields of papers citing papers by Pradeep Shenoy
This network shows the impact of papers produced by Pradeep Shenoy. 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 Pradeep Shenoy. The network helps show where Pradeep Shenoy may publish in the future.
Co-authorship network of co-authors of Pradeep Shenoy
This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep Shenoy. A scholar is included among the top collaborators of Pradeep Shenoy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pradeep Shenoy. Pradeep Shenoy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 14 | |
| 3 | 71 | |
| 4 | Tracking what matters: A decision-variable account of human behavior in bandit tasks | 2 |
| 5 | Ensemble PHOG and SIFT features extraction techniques to classify high resolution satellite images | 3 |
| 6 | 32 | |
| 7 | 33 | |
| 8 | 149 | |
| 9 | Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making | 8 |
| 10 | 61 | |
| 11 | A rational decision making framework for inhibitory control | 23 |
| 12 | 199 | |
| 13 | 77 | |
| 14 | 3 | |
| 15 | 115 | |
| 16 | 337 | |
| 17 | Real-time classification of electromyographic signals for robotic control | 92 |
| 18 | Dynamic Bayesian Networks for Brain-Computer Interfaces | 20 |
| 19 | Exploiting Local Similarity to Efficiently Index Paths in Graph-Structured Data | 9 |
| 20 | VIPER: A Vertical Approach to Mining Association Rules | 2 |
About Pradeep Shenoy
Pradeep Shenoy is a scholar working on General Decision Sciences, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 39 papers that have together received 2.3k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (14 papers), Neural dynamics and brain function (10 papers) and Neuroscience and Neural Engineering (7 papers). The work is most often cited by research in Cognitive Neuroscience (1.5k citations), Human-Computer Interaction (277 citations) and Cellular and Molecular Neuroscience (630 citations). Pradeep Shenoy has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Rajesh P. N. Rao, Kai J. Miller, Angela J. Yu, Rawichote Chalodhorn, Desney Tan, Benjamin Blankertz, Matthias Krauledat, Klaus‐Robert Müller, Jeffrey G. Ojemann and Raghav Kaushik. Their work appears in journals such as Journal of Neuroscience, NeuroImage and IEEE Transactions on Biomedical Engineering.
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.