Jason M. Tangen

1.9k total citations
63 papers, 1.1k citations indexed

About

Jason M. Tangen is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Jason M. Tangen has authored 63 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cognitive Neuroscience, 19 papers in Social Psychology and 10 papers in Experimental and Cognitive Psychology. Recurrent topics in Jason M. Tangen's work include Face Recognition and Perception (14 papers), Deception detection and forensic psychology (12 papers) and Forensic and Genetic Research (7 papers). Jason M. Tangen is often cited by papers focused on Face Recognition and Perception (14 papers), Deception detection and forensic psychology (12 papers) and Forensic and Genetic Research (7 papers). Jason M. Tangen collaborates with scholars based in Australia, Canada and United States. Jason M. Tangen's co-authors include Matthew B. Thompson, Ruben Laukkonen, Rachel A Searston, Lorraine G. Allan, Jonathan W. Schooler, Gary Edmond, Shepard Siegel, Gianni Ribeiro, John R. Vokey and Blake M. McKimmie and has published in prestigious journals such as PLoS ONE, Scientific Reports and Psychological Science.

In The Last Decade

Jason M. Tangen

56 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason M. Tangen Australia 21 386 257 214 155 130 63 1.1k
Otto H. MacLin United States 16 892 2.3× 323 1.3× 486 2.3× 44 0.3× 83 0.6× 35 1.3k
Fabio Paglieri Italy 19 386 1.0× 268 1.0× 216 1.0× 21 0.1× 206 1.6× 70 1.2k
Gwyneth Doherty‐Sneddon United Kingdom 22 739 1.9× 406 1.6× 516 2.4× 56 0.4× 434 3.3× 42 1.9k
Bence Nánay Belgium 23 1.3k 3.3× 451 1.8× 866 4.0× 44 0.3× 114 0.9× 130 2.0k
Martijn Wieling Netherlands 25 383 1.0× 71 0.3× 693 3.2× 34 0.2× 292 2.2× 127 2.1k
Kimberley A. Wade United Kingdom 20 1.1k 2.7× 620 2.4× 166 0.8× 13 0.1× 317 2.4× 61 1.6k
Antoni Gomila Spain 17 616 1.6× 534 2.1× 270 1.3× 42 0.3× 149 1.1× 61 1.1k
Hyemin Han United States 21 544 1.4× 376 1.5× 121 0.6× 27 0.2× 43 0.3× 87 1.3k
Janet M. Davis United States 11 288 0.7× 327 1.3× 157 0.7× 111 0.7× 115 0.9× 44 783
Anne Schlottmann United Kingdom 20 493 1.3× 408 1.6× 221 1.0× 33 0.2× 700 5.4× 40 1.2k

Countries citing papers authored by Jason M. Tangen

Since Specialization
Citations

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

Fields of papers citing papers by Jason M. Tangen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason M. Tangen. 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 Jason M. Tangen. The network helps show where Jason M. Tangen may publish in the future.

Co-authorship network of co-authors of Jason M. Tangen

This figure shows the co-authorship network connecting the top 25 collaborators of Jason M. Tangen. A scholar is included among the top collaborators of Jason M. Tangen 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 Jason M. Tangen. Jason M. Tangen 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.
Yeung, Siu Kit, Geetanjali Basarkod, Clarence Ng, et al.. (2025). Systematic review and meta-analysis of educational approaches to reduce cognitive biases among students. Nature Human Behaviour. 9(12). 2510–2538.
2.
Searston, Rachel A., et al.. (2024). A guide to measuring expert performance in forensic pattern matching. Behavior Research Methods. 56(6). 6223–6247.
3.
Laukkonen, Ruben, Margaret E. Webb, Carola Salvi, et al.. (2023). Insight and the selection of ideas. Neuroscience & Biobehavioral Reviews. 153. 105363–105363. 20 indexed citations
4.
Lee, Harrison, Jason M. Tangen, Blake M. McKimmie, & Barbara Masser. (2022). The influence of event order on the narratives jurors construct and tell in cases of rape. Psychology Crime and Law. 30(6). 600–629. 1 indexed citations
5.
Lee, Harrison, Barbara Masser, Jason M. Tangen, & Blake M. McKimmie. (2022). The effects of victim testimony order and judicial education on juror decision-making in trials for rape. Psychology Crime and Law. 30(6). 509–537. 1 indexed citations
6.
Laukkonen, Ruben, et al.. (2022). Thinking style and psychosis proneness do not predict false insights. Consciousness and Cognition. 104. 103384–103384. 2 indexed citations
7.
Laukkonen, Ruben, et al.. (2022). Irrelevant insights make worldviews ring true. Scientific Reports. 12(1). 2075–2075. 19 indexed citations
8.
Tangen, Jason M., et al.. (2022). Specific versus varied practice in perceptual expertise training.. Journal of Experimental Psychology Human Perception & Performance. 48(12). 1336–1346.
9.
Lee, Harrison, Blake M. McKimmie, Barbara Masser, & Jason M. Tangen. (2021). Guided by the rape schema: the influence of event order on how jurors evaluate the victim’s testimony in cases of rape. Psychology Crime and Law. 29(1). 25–55. 4 indexed citations
10.
Beaudry, Jennifer L, Julia Beitner, Hilmar Brohmer, et al.. (2021). Promoting Open Science: A Holistic Approach to Changing Behaviour. Collabra Psychology. 7(1). 26 indexed citations
11.
Searston, Rachel A, et al.. (2019). How low can you go? Detecting style in extremely low resolution images.. Journal of Experimental Psychology Human Perception & Performance. 45(5). 573–584. 2 indexed citations
12.
Ribeiro, Gianni, Jason M. Tangen, & Blake M. McKimmie. (2019). Beliefs about error rates and human judgment in forensic science. Forensic Science International. 297. 138–147. 28 indexed citations
13.
Laukkonen, Ruben, et al.. (2019). The dark side of Eureka: Artificially induced Aha moments make facts feel true. Cognition. 196. 104122–104122. 49 indexed citations
14.
Laukkonen, Ruben & Jason M. Tangen. (2018). How to Detect Insight Moments in Problem Solving Experiments. Frontiers in Psychology. 9. 282–282. 33 indexed citations
15.
Searston, Rachel A & Jason M. Tangen. (2017). Expertise with unfamiliar objects is flexible to changes in task but not changes in class. PLoS ONE. 12(6). e0178403–e0178403. 18 indexed citations
16.
Edmond, Gary, Bryan Found, Kristy A. Martire, et al.. (2016). Model forensic science. Australian Journal of Forensic Sciences. 48(5). 496–537. 38 indexed citations
17.
Edmond, Gary, Kristy A. Martire, Richard I. Kemp, et al.. (2014). How to cross-examine forensic scientists: a guide for lawyers. UNSWorks (UNSW Sydney). 39(174). 23 indexed citations
18.
Edmond, Gary, Matthew B. Thompson, & Jason M. Tangen. (2013). A guide to interpreting forensic testimony: scientific approaches to fingerprint evidence. Law Probability and Risk. 13(1). 1–25. 19 indexed citations
19.
Tangen, Jason M., Sean C. Murphy, & Matthew B. Thompson. (2011). Flashed Face Distortion Effect: Grotesque Faces from Relative Spaces. Perception. 40(5). 628–630. 15 indexed citations
20.
Weidemann, Gabrielle, Jason M. Tangen, Peter F. Lovibond, & Chris J. Mitchell. (2009). Is Perruchet’s dissociation between eyeblink conditioned responding and outcome expectancy evidence for two learning systems?. Journal of Experimental Psychology Animal Behavior Processes. 35(2). 169–176. 23 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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