Tyler S. Grummett
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Clinical Psychology
- Cardiology and Cardiovascular Medicine
- Signal Processing
- Co-authors
- Kenneth J. PopeSean P. FitzgibbonTrent LewisDylan DeLosAngelesJohn O. WilloughbyDavid PowersRichard LeibbrandtEmma M. Whitham
- Topics
- EEG and Brain-Computer Interfaces (11 papers)Neural dynamics and brain function (10 papers)Neuroscience and Neural Engineering (4 papers)
- Journals
- Clinical NeurophysiologyInternational Journal of PsychophysiologyJournal of Neuroscience Methods
- Partner nations
- AustraliaUnited KingdomCanada
In The Last Decade
Tyler S. Grummett
13 papers receiving 281 citations
Peers
Comparison fields: 5 of 57
- Cognitive Neuroscience 242
- Cellular and Molecular Neuroscience 56
- Clinical Psychology 38
- Cardiology and Cardiovascular Medicine 37
- Signal Processing 37
Countries citing papers authored by Tyler S. Grummett
This map shows the geographic impact of Tyler S. Grummett'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 Tyler S. Grummett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler S. Grummett more than expected).
Fields of papers citing papers by Tyler S. Grummett
This network shows the impact of papers produced by Tyler S. Grummett. 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 Tyler S. Grummett. The network helps show where Tyler S. Grummett may publish in the future.
Co-authorship network of co-authors of Tyler S. Grummett
This figure shows the co-authorship network connecting the top 25 collaborators of Tyler S. Grummett. A scholar is included among the top collaborators of Tyler S. Grummett 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 Tyler S. Grummett. Tyler S. Grummett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 23 | |
| 3 | 9 | |
| 4 | 31 | |
| 5 | 38 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 47 | |
| 12 | 46 | |
| 13 | 64 |
About Tyler S. Grummett
Tyler S. Grummett is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Signal Processing, having authored 13 papers that have together received 289 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Neural dynamics and brain function (10 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Cognitive Neuroscience (242 citations), Signal Processing (37 citations) and Cellular and Molecular Neuroscience (56 citations). Tyler S. Grummett has collaborated with scholars based in Australia, United Kingdom and Canada. Frequent co-authors include Kenneth J. Pope, Sean P. Fitzgibbon, Trent Lewis, Dylan DeLosAngeles, John O. Willoughby, David Powers, Richard Leibbrandt, Emma M. Whitham, Lawrence M. Ward and John Burston. Their work appears in journals such as Clinical Neurophysiology, International Journal of Psychophysiology and Journal of Neuroscience Methods.
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.