George Stothart

968 total citations
27 papers, 529 citations indexed

About

George Stothart is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Psychiatry and Mental health. According to data from OpenAlex, George Stothart has authored 27 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 6 papers in Experimental and Cognitive Psychology and 5 papers in Psychiatry and Mental health. Recurrent topics in George Stothart's work include Neural dynamics and brain function (13 papers), EEG and Brain-Computer Interfaces (11 papers) and Visual perception and processing mechanisms (5 papers). George Stothart is often cited by papers focused on Neural dynamics and brain function (13 papers), EEG and Brain-Computer Interfaces (11 papers) and Visual perception and processing mechanisms (5 papers). George Stothart collaborates with scholars based in United Kingdom, United States and Germany. George Stothart's co-authors include Nina Kazanina, Andrea Tales, Marcus R. Munafò, Luke Tait, Elizabeth Coulthard, Marc Goodfellow, Jon T. Brown, Angela Attwood, Nicholas E. Scott‐Samuel and Susanna Guttmann and has published in prestigious journals such as PLoS ONE, NeuroImage and Brain.

In The Last Decade

George Stothart

24 papers receiving 524 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George Stothart United Kingdom 14 367 105 66 47 45 27 529
Dhrasti Shah Canada 14 286 0.8× 76 0.7× 54 0.8× 50 1.1× 31 0.7× 27 447
Arvina Grahl United States 11 375 1.0× 83 0.8× 114 1.7× 17 0.4× 101 2.2× 21 521
Michael Houlihan Canada 14 471 1.3× 181 1.7× 46 0.7× 45 1.0× 106 2.4× 31 675
Danielle Impey Canada 13 191 0.5× 35 0.3× 64 1.0× 43 0.9× 28 0.6× 22 380
Menton M. Deweese United States 10 400 1.1× 225 2.1× 49 0.7× 41 0.9× 31 0.7× 18 594
Emily L. Coderre United States 13 513 1.4× 126 1.2× 67 1.0× 14 0.3× 37 0.8× 28 754
Linda K. Langley United States 16 515 1.4× 96 0.9× 129 2.0× 27 0.6× 55 1.2× 30 831
Anna Thorwart Germany 11 243 0.7× 118 1.1× 55 0.8× 21 0.4× 14 0.3× 28 433
J. Brinkmeyer Germany 14 629 1.7× 104 1.0× 173 2.6× 24 0.5× 115 2.6× 24 835
Evelina Tapia United States 9 271 0.7× 148 1.4× 30 0.5× 14 0.3× 24 0.5× 14 441

Countries citing papers authored by George Stothart

Since Specialization
Citations

This map shows the geographic impact of George Stothart'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 George Stothart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Stothart more than expected).

Fields of papers citing papers by George Stothart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George Stothart. 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 George Stothart. The network helps show where George Stothart may publish in the future.

Co-authorship network of co-authors of George Stothart

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

All Works

20 of 20 papers shown
1.
Leonardi, Christopher, et al.. (2025). Measuring implicit line orientation discrimination using fast periodic visual stimulation. Neuropsychologia. 211. 109122–109122.
2.
Hinvest, Neal, et al.. (2024). Inter‐brain synchrony is associated with greater shared identity within naturalistic conversational pairs. British Journal of Psychology. 116(1). 170–182.
3.
Lees, Rachel, Lindsey A. Hines, Chandni Hindocha, et al.. (2023). Effect of four-week cannabidiol treatment on cognitive function: secondary outcomes from a randomised clinical trial for the treatment of cannabis use disorder. Psychopharmacology. 240(2). 337–346. 13 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.
Lees, Rachel, Lindsey A. Hines, Deepak Cyril D’Souza, et al.. (2021). Psychosocial and pharmacological treatments for cannabis use disorder and mental health comorbidities: a narrative review. Psychological Medicine. 51(3). 353–364. 26 indexed citations
6.
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
7.
Stothart, George, et al.. (2020). Fast Periodic Visual Stimulation indexes preserved semantic memory in healthy ageing. Scientific Reports. 10(1). 13159–13159. 6 indexed citations
8.
Stothart, George, et al.. (2020). A rapid, neural measure of implicit recognition memory using fast periodic visual stimulation. NeuroImage. 211. 116628–116628. 4 indexed citations
9.
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
10.
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
11.
Stothart, George, et al.. (2017). A fast and implicit measure of semantic categorisation using steady state visual evoked potentials. Neuropsychologia. 102. 11–18. 26 indexed citations
12.
Stothart, George, et al.. (2016). Neural correlates of cigarette health warning avoidance among smokers. Drug and Alcohol Dependence. 161. 155–162. 18 indexed citations
13.
Stothart, George & Nina Kazanina. (2016). Auditory perception in the aging brain: the role of inhibition and facilitation in early processing. Neurobiology of Aging. 47. 23–34. 46 indexed citations
14.
Hedge, Craig, et al.. (2015). A frontal attention mechanism in the visual mismatch negativity. Behavioural Brain Research. 293. 173–181. 25 indexed citations
15.
Stothart, George & Nina Kazanina. (2013). Oscillatory characteristics of the visual mismatch negativity: what evoked potentials aren't telling us. Frontiers in Human Neuroscience. 7. 426–426. 27 indexed citations
16.
Stothart, George, Andrea Tales, Craig Hedge, & Nina Kazanina. (2013). Double peaked P1 visual evoked potentials in healthy ageing. Clinical Neurophysiology. 125(7). 1471–1478. 10 indexed citations
17.
Hedge, Craig, George Stothart, Ute Leonards, et al.. (2013). THE NEURAL GENERATORS OF VISUAL MISMATCH: A SHARED FRONTAL GENERATOR ACROSS MODALITIES. Bristol Research (University of Bristol). 2 indexed citations
18.
Stothart, George, Andrea Tales, & Nina Kazanina. (2012). Evoked potentials reveal age-related compensatory mechanisms in early visual processing. Neurobiology of Aging. 34(4). 1302–1308. 23 indexed citations
19.
Attwood, Angela, Nicholas E. Scott‐Samuel, George Stothart, & Marcus R. Munafò. (2012). Glass Shape Influences Consumption Rate for Alcoholic Beverages. PLoS ONE. 7(8). e43007–e43007. 52 indexed citations
20.
Stothart, George, et al.. (2010). Caffeine abstinence: an ineffective and potentially distressing tinnitus therapy. International Journal of Audiology. 49(1). 24–29. 15 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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