Fiona Gabbert

3.4k total citations
79 papers, 2.0k citations indexed

About

Fiona Gabbert is a scholar working on Social Psychology, Cognitive Neuroscience and Sociology and Political Science. According to data from OpenAlex, Fiona Gabbert has authored 79 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Social Psychology, 49 papers in Cognitive Neuroscience and 11 papers in Sociology and Political Science. Recurrent topics in Fiona Gabbert's work include Deception detection and forensic psychology (49 papers), Memory Processes and Influences (48 papers) and Radiology practices and education (10 papers). Fiona Gabbert is often cited by papers focused on Deception detection and forensic psychology (49 papers), Memory Processes and Influences (48 papers) and Radiology practices and education (10 papers). Fiona Gabbert collaborates with scholars based in United Kingdom, United States and Netherlands. Fiona Gabbert's co-authors include Amina Memon, Lorraine Hope, Kevin Allan, Daniel B. Wright, Ronald P. Fisher, Elin M. Skagerberg, Adrian J. Scott, James Ost, Sarah Healey and Rebecca M. Mullis and has published in prestigious journals such as PLoS ONE, Journal of Applied Psychology and Psychological Science.

In The Last Decade

Fiona Gabbert

72 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fiona Gabbert United Kingdom 25 1.5k 1.2k 443 330 289 79 2.0k
Lorraine Hope United Kingdom 26 1.3k 0.9× 1.3k 1.1× 550 1.2× 213 0.6× 249 0.9× 132 2.3k
Nathan Weber Australia 22 1.5k 1.0× 746 0.6× 281 0.6× 203 0.6× 338 1.2× 62 2.0k
Jeffrey S. Neuschatz United States 22 1.5k 1.0× 1.2k 0.9× 220 0.5× 230 0.7× 185 0.6× 67 1.9k
J. Don Read Canada 27 2.1k 1.4× 1.2k 1.0× 353 0.8× 542 1.6× 427 1.5× 72 2.8k
Maria S. Zaragoza United States 29 2.6k 1.7× 1.8k 1.4× 796 1.8× 654 2.0× 429 1.5× 52 3.1k
Solomon M. Fulero United States 18 1.0k 0.7× 1.1k 0.9× 543 1.2× 111 0.3× 150 0.5× 37 2.0k
Brian R. Clifford United Kingdom 18 836 0.6× 821 0.7× 258 0.6× 168 0.5× 207 0.7× 53 1.5k
R. C. L. Lindsay Canada 35 2.9k 1.9× 2.5k 2.0× 600 1.4× 272 0.8× 403 1.4× 93 3.9k
A. Daniel Yarmey Canada 24 1.0k 0.7× 554 0.4× 173 0.4× 178 0.5× 396 1.4× 73 1.7k
Elin M. Skagerberg United Kingdom 17 552 0.4× 735 0.6× 161 0.4× 110 0.3× 113 0.4× 23 1.1k

Countries citing papers authored by Fiona Gabbert

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Gabbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiona Gabbert

This figure shows the co-authorship network connecting the top 25 collaborators of Fiona Gabbert. A scholar is included among the top collaborators of Fiona Gabbert 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 Fiona Gabbert. Fiona Gabbert 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.
Gabbert, Fiona, et al.. (2025). Interventions to Reduce Implicit Bias in High-Stakes Professional Judgements: A Systematic Review. Behavioral Sciences. 15(11). 1592–1592.
2.
Price, Heather L., Kirk Luther, Wayne B. Thomas, Fiona Gabbert, & Lorraine Hope. (2024). Extracting Witness Evidence in “Cold Case” Investigations: What We Know and What We Need to Learn. Journal of Police and Criminal Psychology. 40(2). 405–416.
3.
Scott, Adrian J., et al.. (2023). Behavioral Intentions of Bystanders to Image-Based Sexual Abuse: A Preliminary Focus Group Study with a University Student Sample. Journal of Child Sexual Abuse. 32(3). 318–339. 4 indexed citations
4.
Oxburgh, Gavin, et al.. (2022). Keeping our wits about us: introducing a bespoke informant interview model for covert human intelligence source (CHIS) interactions. Journal of Policing Intelligence and Counter Terrorism. 18(3). 333–352.
5.
Scott, Adrian J., et al.. (2022). Psychological contributions to cold case investigations: A systematic review. Forensic Science International Synergy. 5. 100294–100294. 2 indexed citations
6.
Gabbert, Fiona, et al.. (2022). A Systematic Review Exploring Variables Related to Bystander Intervention in Sexual Violence Contexts. Trauma Violence & Abuse. 24(3). 1727–1742. 42 indexed citations
7.
Rubínová, Eva, et al.. (2021). Facilitating recall and particularisation of repeated events in adults using a multi-method interviewing format. Memory. 29(4). 471–485. 9 indexed citations
8.
Hope, Lorraine, et al.. (2020). “Tell me more about this…”: An examination of the efficacy of follow‐up open questions following an initial account. Applied Cognitive Psychology. 34(5). 972–983. 20 indexed citations
9.
Hope, Lorraine, et al.. (2019). Who said what and when? A timeline approach to eliciting information and intelligence about conversations, plots, and plans.. Law and Human Behavior. 43(3). 263–277. 16 indexed citations
10.
Hope, Lorraine, et al.. (2018). The benefits of a self-generated cue mnemonic for timeline interviewing.. Journal of Applied Research in Memory and Cognition. 7(3). 454–461. 3 indexed citations
11.
Gabbert, Fiona, et al.. (2017). Using Self-Generated Cues to Facilitate Recall: A Narrative Review. Frontiers in Psychology. 8. 1830–1830. 31 indexed citations
12.
Gabbert, Fiona, et al.. (2016). Police officers' perceptions and experiences with mentally disordered suspects. International Journal of Law and Psychiatry. 49(Pt A). 138–146. 14 indexed citations
13.
Hope, Lorraine, et al.. (2015). Memory and the operational witness: Police officer recall of firearms encounters as a function of active response role.. Law and Human Behavior. 40(1). 23–35. 31 indexed citations
14.
Allan, Kevin, et al.. (2013). Explicit Mentalizing Mechanisms and Their Adaptive Role in Memory Conformity. PLoS ONE. 8(4). e62106–e62106. 10 indexed citations
15.
Allan, Kevin, et al.. (2011). Memory conformity and the perceived accuracy of self versus other. Memory & Cognition. 40(2). 280–286. 32 indexed citations
16.
Wright, Daniel B., Fiona Gabbert, Amina Memon, & Kamala London. (2008). Changing the criterion for memory conformity in free recall and recognition. Memory. 16(2). 137–148. 41 indexed citations
17.
Gabbert, Fiona, Lorraine Hope, & Ronald P. Fisher. (2008). Protecting eyewitness evidence: Examining the efficacy of a self-administered interview tool.. Law and Human Behavior. 33(4). 298–307. 139 indexed citations
18.
Havard, Catriona, Amina Memon, Brian R. Clifford, & Fiona Gabbert. (2008). Obtaining evidence from child witnesses using video parades. Open Research Online (The Open University). 1 indexed citations
19.
Memon, Amina & Fiona Gabbert. (2003). Unravelling the effects of a sequential lineup. Applied Cognitive Psychology. 1 indexed citations
20.
Memon, Amina & Fiona Gabbert. (2003). Improving the identification accuracy of senior witnesses: Do prelineup questions and sequential testing help?. Journal of Applied Psychology. 88(2). 341–347. 35 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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