Luke Tait

541 total citations
14 papers, 300 citations indexed

About

Luke Tait is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Luke Tait has authored 14 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Psychiatry and Mental health. Recurrent topics in Luke Tait's work include Functional Brain Connectivity Studies (10 papers), EEG and Brain-Computer Interfaces (8 papers) and Neural dynamics and brain function (7 papers). Luke Tait is often cited by papers focused on Functional Brain Connectivity Studies (10 papers), EEG and Brain-Computer Interfaces (8 papers) and Neural dynamics and brain function (7 papers). Luke Tait collaborates with scholars based in United Kingdom, Spain and Germany. Luke Tait's co-authors include Jiaxiang Zhang, Marc Goodfellow, George Stothart, Nina Kazanina, Jon T. Brown, Elizabeth Coulthard, Francesco Tamagnini, Susanna Guttmann, Mirco Volpini and Roberto Frusciante and has published in prestigious journals such as NeuroImage, Scientific Reports and Epilepsia.

In The Last Decade

Luke Tait

13 papers receiving 295 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Luke Tait United Kingdom 8 248 47 32 26 26 14 300
Loes Koelewijn United Kingdom 10 284 1.1× 67 1.4× 83 2.6× 40 1.5× 29 1.1× 12 354
Bethany Routley United Kingdom 11 230 0.9× 66 1.4× 59 1.8× 47 1.8× 24 0.9× 12 301
Elizabeth Bock Canada 7 384 1.5× 44 0.9× 44 1.4× 63 2.4× 8 0.3× 11 447
Zhan Xu United States 8 128 0.5× 52 1.1× 13 0.4× 49 1.9× 26 1.0× 22 217
Haiteng Jiang China 10 223 0.9× 69 1.5× 30 0.9× 44 1.7× 9 0.3× 21 292
Pablo Núñez Spain 13 319 1.3× 70 1.5× 16 0.5× 45 1.7× 33 1.3× 34 389
Taira Uehara Japan 9 165 0.7× 35 0.7× 36 1.1× 25 1.0× 21 0.8× 35 237
Alejandro Bachiller Spain 13 377 1.5× 49 1.0× 39 1.2× 49 1.9× 9 0.3× 34 444
Daniele Mascali Italy 9 173 0.7× 34 0.7× 18 0.6× 63 2.4× 11 0.4× 19 245
Miranda G Chappel-Farley United States 6 167 0.7× 14 0.3× 29 0.9× 55 2.1× 28 1.1× 19 227

Countries citing papers authored by Luke Tait

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Luke Tait

This figure shows the co-authorship network connecting the top 25 collaborators of Luke Tait. A scholar is included among the top collaborators of Luke Tait 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 Luke Tait. Luke Tait is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Tait, Luke, et al.. (2025). Transient cortical beta-frequency oscillations associated with contextual novelty in high density mouse EEG. Scientific Reports. 15(1). 2897–2897. 1 indexed citations
2.
Maiarù, Maria, et al.. (2024). Substance P-Botulinum Mediates Long-term Silencing of Pain Pathways that can be Re-instated with a Second Injection of the Construct in Mice. Journal of Pain. 25(6). 104466–104466. 6 indexed citations
3.
Tait, Luke, David Martín-López, Matthew C. Walker, et al.. (2024). Estimating the likelihood of epilepsy from clinically noncontributory electroencephalograms using computational analysis: A retrospective, multisite case–control study. Epilepsia. 65(8). 2459–2469. 4 indexed citations
4.
Tait, Luke, Thomas Donoghue, George Stothart, et al.. (2023). Resting-state EEG signatures of Alzheimer's disease are driven by periodic but not aperiodic changes. Neurobiology of Disease. 190. 106380–106380. 28 indexed citations
5.
Tait, Luke, et al.. (2022). The interindividual variability of multimodal brain connectivity maintains spatial heterogeneity and relates to tissue microstructure. Communications Biology. 5(1). 1007–1007. 6 indexed citations
6.
Tait, Luke & Jiaxiang Zhang. (2022). MEG cortical microstates: Spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses. NeuroImage. 251. 119006–119006. 25 indexed citations
7.
Tait, Luke & Jiaxiang Zhang. (2022). +microstate: A MATLAB toolbox for brain microstate analysis in sensor and cortical EEG/MEG. NeuroImage. 258. 119346–119346. 28 indexed citations
8.
Tait, Luke, Marinho A. Lopes, George Stothart, et al.. (2021). A large-scale brain network mechanism for increased seizure propensity in Alzheimer’s disease. PLoS Computational Biology. 17(8). e1009252–e1009252. 13 indexed citations
9.
10.
Tait, Luke, Francesco Tamagnini, George Stothart, et al.. (2020). EEG microstate complexity for aiding early diagnosis of Alzheimer’s disease. Scientific Reports. 10(1). 17627–17627. 102 indexed citations
11.
Lopes, Marinho A., Luke Tait, John R. Terry, et al.. (2019). Computational modelling in source space from scalp EEG to inform presurgical evaluation of epilepsy. Clinical Neurophysiology. 131(1). 225–234. 30 indexed citations
12.
Tait, Luke, George Stothart, Elizabeth Coulthard, et al.. (2019). Network substrates of cognitive impairment in Alzheimer’s Disease. Clinical Neurophysiology. 130(9). 1581–1595. 25 indexed citations
13.
Tait, Luke, Kyle C. A. Wedgwood, Krasimira Tsaneva‐Atanasova, Jon T. Brown, & Marc Goodfellow. (2018). Control of clustered action potential firing in a mathematical model of entorhinal cortex stellate cells. Journal of Theoretical Biology. 449. 23–34. 2 indexed citations
14.
Stothart, George, George Petkov, Nina Kazanina, et al.. (2016). Graph-theoretical measures provide translational markers of large-scale brain network disruption in human dementia patients and animal models of dementia. International Journal of Psychophysiology. 108. 71–71. 1 indexed citations

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.

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