Gabriel Tillman

527 total citations
18 papers, 236 citations indexed

About

Gabriel Tillman is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Sociology and Political Science. According to data from OpenAlex, Gabriel Tillman has authored 18 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 5 papers in Experimental and Cognitive Psychology and 4 papers in Sociology and Political Science. Recurrent topics in Gabriel Tillman's work include Neural and Behavioral Psychology Studies (5 papers), Digital Mental Health Interventions (4 papers) and Mental Health Research Topics (4 papers). Gabriel Tillman is often cited by papers focused on Neural and Behavioral Psychology Studies (5 papers), Digital Mental Health Interventions (4 papers) and Mental Health Research Topics (4 papers). Gabriel Tillman collaborates with scholars based in Australia, United States and Netherlands. Gabriel Tillman's co-authors include Taylor A. Braund, Donna M. Palmer, Gordon D. Logan, Evian Gordon, Anthony Harris, Andrew Heathcote, A. John Rush, Ami Eidels, David L. Strayer and Don van Ravenzwaaij and has published in prestigious journals such as Journal of Neurophysiology, Journal of Affective Disorders and Psychonomic Bulletin & Review.

In The Last Decade

Gabriel Tillman

17 papers receiving 232 citations

Peers

Gabriel Tillman

ECP

PHARM

Isabel M. Berwian United States

Tara E. Karns United States

Kimberly Goodyear United States

Christina F. Chick United States

Gökhan Aydogan United States

Magdalena Buckert Germany

Magda Dubois United Kingdom

K Tsurumi Japan

Daniel Bennett Australia

Samuel Douglas United States

Isabel M. Berwian United States

Gabriel Tillman

88 ×0.9

118 ×2.0

ECP

21 ×0.5

62 ×2.2

PHARM

32 ×1.3

Citations per year, relative to Gabriel Tillman Gabriel Tillman (= 1×) peers Isabel M. Berwian

Countries citing papers authored by Gabriel Tillman

Since Specialization

Citations

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

Fields of papers citing papers by Gabriel Tillman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Tillman

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

All Works

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18 of 18 papers shown

Braund, Taylor A., Helen Christensen, Philip J. Batterham, et al.. (2025). Tapping into truth: an exploratory cross-sectional analysis of psychomotor symptoms and typing behaviour in an adolescent observational cohort. PubMed. 3(1). 14–14.

Braund, Taylor A., Simon Baker, Gabriel Tillman, et al.. (2024). Potential mental health-related harms associated with the universal screening of anxiety and depressive symptoms in Australian secondary schools. Child and Adolescent Psychiatry and Mental Health. 18(1). 46–46. 3 indexed citations

Tillman, Gabriel, Evita March, Andrew P. Lavender, Taylor A. Braund, & Christopher Mesagno. (2023). Disordered Social Media Use during COVID-19 Predicts Perceived Stress and Depression through Indirect Effects via Fear of COVID-19. Behavioral Sciences. 13(9). 698–698. 5 indexed citations

Braund, Taylor A., Bridianne O’Dea, Kate Maston, et al.. (2023). Associations Between Smartphone Keystroke Metadata and Mental Health Symptoms in Adolescents: Findings From the Future Proofing Study. JMIR Mental Health. 10. e44986–e44986. 8 indexed citations

Braund, Taylor A., Tjeerd W. Boonstra, Quincy J. J. Wong, et al.. (2022). Smartphone Sensor Data for Identifying and Monitoring Symptoms of Mood Disorders: A Longitudinal Observational Study. JMIR Mental Health. 9(5). e35549–e35549. 15 indexed citations

Braund, Taylor A., Gabriel Tillman, Donna M. Palmer, et al.. (2021). Antidepressant side effects and their impact on treatment outcome in people with major depressive disorder: an iSPOT-D report. Translational Psychiatry. 11(1). 417–417. 61 indexed citations

Braund, Taylor A., Isabella A. Breukelaar, Kristi R. Griffiths, et al.. (2021). Intrinsic Functional Connectomes Characterize Neuroticism in Major Depressive Disorder and Predict Antidepressant Treatment Outcomes. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 7(3). 276–284. 9 indexed citations

Tillman, Gabriel, et al.. (2020). Sequential sampling models without random between-trial variability: the racing diffusion model of speeded decision making. Psychonomic Bulletin & Review. 27(5). 911–936. 37 indexed citations

Braund, Taylor A., Gabriel Tillman, Donna M. Palmer, & Anthony Harris. (2019). Verbal memory predicts treatment outcome in syndromal anxious depression: An iSPOT-D report. Journal of Affective Disorders. 260. 245–253. 8 indexed citations

10.

Braund, Taylor A., et al.. (2019). Increased chronic stress predicts greater emotional negativity bias and poorer social skills but not cognitive functioning in healthy adults. Anxiety Stress & Coping. 32(4). 399–411. 13 indexed citations

11.

Servant, Mathieu, Gabriel Tillman, Jeffrey D. Schall, Gordon D. Logan, & Thomas J. Palmeri. (2019). Neurally constrained modeling of speed-accuracy tradeoff during visual search: gated accumulation of modulated evidence. Journal of Neurophysiology. 121(4). 1300–1314. 13 indexed citations

12.

Tillman, Gabriel & Nathan J. Evans. (2019). Hierarchical Bayesian mixture models of processing architectures and stopping rules. Journal of Mathematical Psychology. 92. 102267–102267. 3 indexed citations

13.

Tillman, Gabriel, Adam F Osth, Don van Ravenzwaaij, & Andrew Heathcote. (2017). A diffusion decision model analysis of evidence variability in the lexical decision task. Psychonomic Bulletin & Review. 24(6). 1949–1956. 9 indexed citations

14.

Tillman, Gabriel, David L. Strayer, Ami Eidels, & Andrew Heathcote. (2017). Modeling cognitive load effects of conversation between a passenger and driver. Attention Perception & Psychophysics. 79(6). 1795–1803. 34 indexed citations

15.

Tillman, Gabriel. (2017). The Racing Diffusion Model of Speeded Decision Making. OSF Preprints (OSF Preprints). 7 indexed citations

16.

Tillman, Gabriel. (2017). The Stroop Effect From a Mixture of Reading Processes: A Fixed-Point Analysis. OSF Preprints (OSF Preprints). 1 indexed citations

17.

Tillman, Gabriel, Ami Eidels, & Matthew Finkbeiner. (2016). A reach-to-touch investigation on the nature of reading in the Stroop task. Attention Perception & Psychophysics. 78(8). 2547–2557. 1 indexed citations

18.

Tillman, Gabriel, Titia Benders, Scott Brown, & Don van Ravenzwaaij. (2016). An evidence accumulation model of acoustic cue weighting in vowel perception. Journal of Phonetics. 61. 1–12. 9 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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