Luke Tait
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
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- Epilepsy research and treatment
- Dementia and Cognitive Impairment Research
Papers in
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- Functional Brain Connectivity Studies 9
- Neural dynamics and brain function 6
- EEG and Brain-Computer Interfaces 6
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- Neuroscience and Neuropharmacology Research 2
- Neuroscience and Neural Engineering 1
- Co-authors
- Jiaxiang Zhang (5 shared papers)Marc Goodfellow (6 shared papers)George Stothart (5 shared papers)Nina Kazanina (4 shared papers)Jon T. Brown (5 shared papers)Elizabeth Coulthard (2 shared papers)Francesco Tamagnini (2 shared papers)Mirco Volpini (1 shared paper)
- Journals
- Scientific Reports (2 papers)NeuroImage (2 papers)Clinical Neurophysiology (2 papers)Neurobiology of Disease (1 paper)Epilepsia (1 paper)
- Partner nations
- United KingdomGermanySpain
In The Last Decade
Luke Tait
13 papers receiving 322 citations
Peers
Comparison fields: 5 of 49
- Cognitive Neuroscience 218
- Psychiatry and Mental health 41
- Neurology 13
- Cellular and Molecular Neuroscience 29
- Radiology, Nuclear Medicine and Imaging 23
Countries citing papers authored by Luke Tait
This map shows the geographic impact of Luke Tait'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 Luke Tait with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luke Tait more than expected).
Fields of papers citing papers by Luke Tait
This network shows the impact of papers produced by Luke Tait. 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 Luke Tait. The network helps show where Luke Tait may publish in the future.
Co-authors
The 25 scholars most cited alongside Luke Tait, 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 | 2020 | 107 | |
| 2 | 2021 | 34 | |
| 3 | 2023 | 33 | |
| 4 | 2022 | 32 | |
| 5 | 2019 | 29 | |
| 6 | 2022 | 28 | |
| 7 | 2019 | 25 | |
| 8 | 2021 | 15 | |
| 9 | 2022 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2018 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2016 | 1 |
About Luke Tait
Luke Tait is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health and Neurology, having authored 14 papers that have together received 325 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (9 papers), Neural dynamics and brain function (6 papers), EEG and Brain-Computer Interfaces (6 papers), Neuroscience and Neuropharmacology Research (2 papers), Advanced MRI Techniques and Applications (2 papers), Neuroscience and Neural Engineering (1 paper), Epilepsy research and treatment (1 paper) and Atomic and Subatomic Physics Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (218 citations), Psychiatry and Mental health (41 citations), Neurology (13 citations), Cellular and Molecular Neuroscience (29 citations) and Radiology, Nuclear Medicine and Imaging (23 citations). Luke Tait has collaborated with scholars based in United Kingdom, Germany and Spain. Frequent co-authors include Jiaxiang Zhang, Marc Goodfellow, George Stothart, Nina Kazanina, Jon T. Brown, Elizabeth Coulthard, Francesco Tamagnini, Mirco Volpini, Roberto Frusciante and Susanna Guttmann. Their work appears in journals such as Scientific Reports, NeuroImage, Clinical Neurophysiology, Neurobiology of Disease and Epilepsia.
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.