Dennis Tkach
Impact in
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces
- Motor Control and Adaptation
- Neural dynamics and brain function
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- Neuroscience and Neural Engineering
Papers in
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- Neuroscience and Neural Engineering 7
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- Muscle activation and electromyography studies 7
- Advanced Sensor and Energy Harvesting Materials 5
- Co-authors
- Todd Kuiken (1 shared paper)He Huang (1 shared paper)Nicholas G. Hatsopoulos (5 shared papers)Jacob Reimer (1 shared paper)Aaron J. Suminski (2 shared papers)Andrew H. Fagg (2 shared papers)Levi J. Hargrove (5 shared papers)Lauren H. Smith (2 shared papers)
- Journals
- Journal of Neuroscience (3 papers)Archives of Pathology & Laboratory Medicine (1 paper)Bioinformatics (1 paper)IEEE Transactions on Neural Systems and Rehabilitation Engineering (1 paper)Neural Networks (1 paper)
- Partner nations
- United StatesUnited KingdomBulgaria
In The Last Decade
Dennis Tkach
13 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 92
- Cognitive Neuroscience 758
- Cellular and Molecular Neuroscience 452
- Human-Computer Interaction 90
- Biomedical Engineering 606
- Social Psychology 165
Countries citing papers authored by Dennis Tkach
This map shows the geographic impact of Dennis Tkach'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 Dennis Tkach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dennis Tkach more than expected).
Fields of papers citing papers by Dennis Tkach
This network shows the impact of papers produced by Dennis Tkach. 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 Dennis Tkach. The network helps show where Dennis Tkach may publish in the future.
Co-authors
The 22 scholars most cited alongside Dennis Tkach, 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 | 2010 | 442 | |
| 2 | 2007 | 215 | |
| 3 | 2010 | 164 | |
| 4 | 2001 | 94 | |
| 5 | 2007 | 47 | |
| 6 | 2009 | 41 | |
| 7 | 2008 | 40 | |
| 8 | 2013 | 36 | |
| 9 | 2014 | 35 | |
| 10 | 2013 | 20 | |
| 11 | 2004 | 10 | |
| 12 | 2012 | 4 | |
| 13 | 2013 | 1 |
About Dennis Tkach
Dennis Tkach is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering, Cognitive Neuroscience, Molecular Biology and Social Psychology, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (7 papers), Muscle activation and electromyography studies (7 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), EEG and Brain-Computer Interfaces (4 papers), Action Observation and Synchronization (2 papers), Motor Control and Adaptation (2 papers), Neural dynamics and brain function (2 papers) and Hand Gesture Recognition Systems (1 paper). The work is most often cited by research in Cognitive Neuroscience (758 citations), Cellular and Molecular Neuroscience (452 citations), Human-Computer Interaction (90 citations), Biomedical Engineering (606 citations) and Social Psychology (165 citations). Dennis Tkach has collaborated with scholars based in United States, United Kingdom and Bulgaria. Frequent co-authors include Todd Kuiken, He Huang, Nicholas G. Hatsopoulos, Jacob Reimer, Aaron J. Suminski, Andrew H. Fagg, Levi J. Hargrove, Lauren H. Smith, Aaron J. Young and Elliott J. Rouse. Their work appears in journals such as Journal of Neuroscience, Archives of Pathology & Laboratory Medicine, Bioinformatics, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Neural Networks.
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.