Bethany Growns

413 total citations
20 papers, 200 citations indexed

About

Bethany Growns is a scholar working on Social Psychology, Cognitive Neuroscience and Sociology and Political Science. According to data from OpenAlex, Bethany Growns has authored 20 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Social Psychology, 6 papers in Cognitive Neuroscience and 4 papers in Sociology and Political Science. Recurrent topics in Bethany Growns's work include Deception detection and forensic psychology (7 papers), Face Recognition and Perception (5 papers) and Jury Decision Making Processes (3 papers). Bethany Growns is often cited by papers focused on Deception detection and forensic psychology (7 papers), Face Recognition and Perception (5 papers) and Jury Decision Making Processes (3 papers). Bethany Growns collaborates with scholars based in Australia, United States and United Kingdom. Bethany Growns's co-authors include Kristy A. Martire, Jeff Kukucka, David White, Gary Edmond, Alice Towler, Danielle Navarro, Noam Siegelman, Bryan Found, Gianni Ribeiro and Kaye N. Ballantyne and has published in prestigious journals such as PLoS ONE, Psychonomic Bulletin & Review and Behavior Research Methods.

In The Last Decade

Bethany Growns

19 papers receiving 194 citations

Peers

Bethany Growns
Sherry Nakhaeizadeh United Kingdom
Gianni Ribeiro Australia
Andrew M. Smith United States
Kyle Wagner United States
Bethany Growns
Citations per year, relative to Bethany Growns Bethany Growns (= 1×) peers Rachel A Searston

Countries citing papers authored by Bethany Growns

Since Specialization
Citations

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

Fields of papers citing papers by Bethany Growns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bethany Growns

This figure shows the co-authorship network connecting the top 25 collaborators of Bethany Growns. A scholar is included among the top collaborators of Bethany Growns 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 Bethany Growns. Bethany Growns 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.
Growns, Bethany, Alice Towler, & Kristy A. Martire. (2023). The novel object-matching test (NOM Test): A psychometric measure of visual comparison ability. Behavior Research Methods. 56(2). 680–689. 1 indexed citations
2.
Growns, Bethany, Jeff Kukucka, Richard Moorhead, & Rebecca K. Helm. (2023). The Post Office Scandal in the United Kingdom: Mental health and social experiences of wrongly convicted and wrongly accused individuals. Legal and Criminological Psychology. 29(1). 17–31. 3 indexed citations
3.
Wilson‐Kovacs, Dana, et al.. (2023). Digital evidence in defence practice: Prevalence, challenges and expertise. The International Journal of Evidence & Proof. 27(3). 235–253. 5 indexed citations
4.
Growns, Bethany, Erwin J.A.T. Mattijssen, Jessica M. Salerno, et al.. (2022). Finding the perfect match: Fingerprint expertise facilitates statistical learning and visual comparison decision-making.. Journal of Experimental Psychology Applied. 29(2). 386–397. 5 indexed citations
5.
Growns, Bethany, James D. Dunn, Rebecca K. Helm, Alice Towler, & Jeff Kukucka. (2022). The low prevalence effect in fingerprint comparison amongst forensic science trainees and novices. PLoS ONE. 17(8). e0272338–e0272338. 3 indexed citations
6.
Growns, Bethany, Alice Towler, James D. Dunn, et al.. (2022). Statistical feature training improves fingerprint-matching accuracy in novices and professional fingerprint examiners. Cognitive Research Principles and Implications. 7(1). 60–60. 4 indexed citations
7.
Chin, Jason, et al.. (2022). The transparency and reproducibility of systematic reviews in forensic science. Forensic Science International. 340. 111472–111472. 11 indexed citations
8.
Helm, Rebecca K. & Bethany Growns. (2022). Prevalence estimates as priors: Juror characteristics, perceived base rates, and verdicts in cases reliant on complainant and defendant testimony. Applied Cognitive Psychology. 36(4). 891–904. 2 indexed citations
9.
Helm, Rebecca K. & Bethany Growns. (2022). Predicting and projecting memory: Error and bias in metacognitive judgements underlying testimony evaluation. Legal and Criminological Psychology. 28(1). 15–33.
10.
Ritchie, Kay L., Bethany Growns, An Yan, et al.. (2021). Public attitudes towards the use of automatic facial recognition technology in criminal justice systems around the world. PLoS ONE. 16(10). e0258241–e0258241. 29 indexed citations
11.
Growns, Bethany & Jeff Kukucka. (2021). The prevalence effect in fingerprint identification: Match and non‐match base‐rates impact misses and false alarms. Applied Cognitive Psychology. 35(3). 751–760. 14 indexed citations
12.
Growns, Bethany, Noam Siegelman, & Kristy A. Martire. (2020). The multi-faceted nature of visual statistical learning: Individual differences in learning conditional and distributional regularities across time and space. Psychonomic Bulletin & Review. 27(6). 1291–1299. 13 indexed citations
13.
Growns, Bethany & Kristy A. Martire. (2020). Human factors in forensic science: The cognitive mechanisms that underlie forensic feature-comparison expertise. Forensic Science International Synergy. 2. 148–153. 17 indexed citations
14.
Martire, Kristy A., et al.. (2020). Limited not lazy: a quasi-experimental secondary analysis of evidence quality evaluations by those who hold implausible beliefs. Cognitive Research Principles and Implications. 5(1). 65–65. 6 indexed citations
15.
Growns, Bethany & Kristy A. Martire. (2020). Forensic feature-comparison expertise: Statistical learning facilitates visual comparison performance.. Journal of Experimental Psychology Applied. 26(3). 493–506. 10 indexed citations
16.
Growns, Bethany, Noam Siegelman, & Kristy A. Martire. (2019). The Multi-Faceted Nature of Visual Statistical Learning. OSF Preprints (OSF Preprints). 1 indexed citations
17.
Chin, Jason, Bethany Growns, & David Thomas Mellor. (2019). Improving Expert Evidence: The Role of Open Science and Transparency. SSRN Electronic Journal. 5 indexed citations
18.
Martire, Kristy A., Bethany Growns, & Danielle Navarro. (2018). What do the experts know? Calibration, precision, and the wisdom of crowds among forensic handwriting experts. Psychonomic Bulletin & Review. 25(6). 2346–2355. 15 indexed citations
19.
Growns, Bethany, Stuart A. Kinner, Elizabeth Conroy, Eileen Baldry, & Sarah Larney. (2017). A Systematic Review of Supported Accommodation Programs for People Released From Custody. International Journal of Offender Therapy and Comparative Criminology. 62(8). 2174–2194. 3 indexed citations
20.
Edmond, Gary, Alice Towler, Bethany Growns, et al.. (2016). Thinking forensics: Cognitive science for forensic practitioners. Science & Justice. 57(2). 144–154. 53 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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