Benjamin T. Dunkley
Impact in
- Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Behavioral Neuroscience top 10%
Papers in
-
- Functional Brain Connectivity Studies 44
- Neural dynamics and brain function 28
- EEG and Brain-Computer Interfaces 19
- Memory and Neural Mechanisms 7
- Epidemiology 23
- Traumatic Brain Injury Research 22
- Co-authors
- Margot J. TaylorElizabeth W. PangRakesh JetlySam M. DoesburgLeodante da CostaSimeon M. WongRachael L. BosmaJing Zhang
- Journals
- NeuroImage Clinical (7 papers)Frontiers in Neurology (5 papers)Scientific Reports (4 papers)Human Brain Mapping (4 papers)NeuroImage (3 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Benjamin T. Dunkley
73 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 86
- Cognitive Neuroscience 705
- Behavioral Neuroscience 54
- Neurology 86
- Neurology 153
- Epidemiology 304
Countries citing papers authored by Benjamin T. Dunkley
This map shows the geographic impact of Benjamin T. Dunkley'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 Benjamin T. Dunkley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin T. Dunkley more than expected).
Fields of papers citing papers by Benjamin T. Dunkley
This network shows the impact of papers produced by Benjamin T. Dunkley. 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 Benjamin T. Dunkley. The network helps show where Benjamin T. Dunkley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Benjamin T. Dunkley, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 0 | |
| 10 | 2021 | 3 | |
| 11 | 2020 | 25 | |
| 12 | 2020 | 41 | |
| 13 | 2019 | 2 | |
| 14 | 2018 | 23 | |
| 15 | 2017 | 23 | |
| 16 | 2016 | 1 | |
| 17 | 2016 | 16 | |
| 18 | 2016 | 33 | |
| 19 | 2016 | 25 | |
| 20 | 2014 | 46 |
About Benjamin T. Dunkley
Benjamin T. Dunkley is a scholar working on Cognitive Neuroscience, Epidemiology, Neurology, Behavioral Neuroscience and Developmental Neuroscience, having authored 77 papers that have together received 1.2k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (44 papers), Neural dynamics and brain function (28 papers), Traumatic Brain Injury Research (22 papers), EEG and Brain-Computer Interfaces (19 papers), Traumatic Brain Injury and Neurovascular Disturbances (9 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Memory and Neural Mechanisms (7 papers) and Heart Rate Variability and Autonomic Control (6 papers). The work is most often cited by research in Cognitive Neuroscience (705 citations), Behavioral Neuroscience (54 citations), Neurology (86 citations), Neurology (153 citations) and Epidemiology (304 citations). Benjamin T. Dunkley has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Margot J. Taylor, Elizabeth W. Pang, Rakesh Jetly, Sam M. Doesburg, Leodante da Costa, Simeon M. Wong, Rachael L. Bosma, Jing Zhang, Karen D. Davis and Anton Rogachov. Their work appears in journals such as NeuroImage Clinical, Frontiers in Neurology, Scientific Reports, Human Brain Mapping and NeuroImage.
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.