Patrick M. Pilarski
- Biomedical Engineering top 5%
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 5%
- Cellular and Molecular Neuroscience top 5%
- Control and Systems Engineering top 5%
- Co-authors
- Richard S. SuttonThomas DegrisJohannes GüntherKlaus DiepoldHao ShenJacqueline S. HebertMichael R. DawsonSophia Adamia
- Topics
- Muscle activation and electromyography studies (34 papers)Neuroscience and Neural Engineering (22 papers)EEG and Brain-Computer Interfaces (18 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Patrick M. Pilarski
73 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 154
- Biomedical Engineering 789
- Cognitive Neuroscience 482
- Artificial Intelligence 340
- Cellular and Molecular Neuroscience 316
- Control and Systems Engineering 193
Countries citing papers authored by Patrick M. Pilarski
This map shows the geographic impact of Patrick M. Pilarski'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 Patrick M. Pilarski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick M. Pilarski more than expected).
Fields of papers citing papers by Patrick M. Pilarski
This network shows the impact of papers produced by Patrick M. Pilarski. 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 Patrick M. Pilarski. The network helps show where Patrick M. Pilarski may publish in the future.
Co-authorship network of co-authors of Patrick M. Pilarski
This figure shows the co-authorship network connecting the top 25 collaborators of Patrick M. Pilarski. A scholar is included among the top collaborators of Patrick M. Pilarski 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 Patrick M. Pilarski. Patrick M. Pilarski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 13 | |
| 8 | 2 | |
| 9 | General Dynamic Neural Networks for explainable PID parameter tuning in control engineering: An extensive comparison. | 0 |
| 10 | 31 | |
| 11 | 44 | |
| 12 | 5 | |
| 13 | 30 | |
| 14 | 45 | |
| 15 | 79 | |
| 16 | Between Instruction and Reward: Human-Prompted Switching. | 2 |
| 17 | 0 | |
| 18 | 123 | |
| 19 | 1 | |
| 20 | 26 |
About Patrick M. Pilarski
Patrick M. Pilarski is a scholar working on Rehabilitation, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 80 papers that have together received 1.9k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (34 papers), Neuroscience and Neural Engineering (22 papers) and EEG and Brain-Computer Interfaces (18 papers). The work is most often cited by research in Cognitive Neuroscience (482 citations), Human-Computer Interaction (111 citations) and Rehabilitation (126 citations). Patrick M. Pilarski has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Richard S. Sutton, Thomas Degris, Johannes Günther, Klaus Diepold, Hao Shen, Jacqueline S. Hebert, Michael R. Dawson, Sophia Adamia, C. Backhouse and Craig S. Chapman. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.
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.