Philip A. Higham

2.0k total citations · 1 hit paper
71 papers, 1.4k citations indexed

About

Philip A. Higham is a scholar working on Cognitive Neuroscience, Social Psychology and Artificial Intelligence. According to data from OpenAlex, Philip A. Higham has authored 71 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cognitive Neuroscience, 25 papers in Social Psychology and 18 papers in Artificial Intelligence. Recurrent topics in Philip A. Higham's work include Memory Processes and Influences (40 papers), Deception detection and forensic psychology (22 papers) and Child and Animal Learning Development (9 papers). Philip A. Higham is often cited by papers focused on Memory Processes and Influences (40 papers), Deception detection and forensic psychology (22 papers) and Child and Animal Learning Development (9 papers). Philip A. Higham collaborates with scholars based in United Kingdom, Canada and Australia. Philip A. Higham's co-authors include John R. Vokey, Katarzyna Zawadzka, Amina Memon, Timothy J. Perfect, Davide Bruno, Karlos Luna, Maciej Hanczakowski, Michelle M. Arnold, Catherine L Gerrard and Helen Tam and has published in prestigious journals such as Psychological Science, Journal of Educational Psychology and Journal of Experimental Psychology Human Perception & Performance.

In The Last Decade

Philip A. Higham

69 papers receiving 1.3k citations

Hit Papers

Gamified inoculation interventions do not improve discrim... 2023 2026 2024 2025 2023 10 20 30 40 50

Peers

Philip A. Higham
Michelle L. Meade United States
Nicholas D. Duran United States
Brian R. Clifford United Kingdom
Elizabeth F. Loftus United States
Sean M. Lane United States
Vicki L. Smith United States
Sarah K. Tauber United States
James D. Sauer Australia
Bridgid Finn United States
Michelle L. Meade United States
Philip A. Higham
Citations per year, relative to Philip A. Higham Philip A. Higham (= 1×) peers Michelle L. Meade

Countries citing papers authored by Philip A. Higham

Since Specialization
Citations

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

Fields of papers citing papers by Philip A. Higham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip A. Higham. 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 Philip A. Higham. The network helps show where Philip A. Higham may publish in the future.

Co-authorship network of co-authors of Philip A. Higham

This figure shows the co-authorship network connecting the top 25 collaborators of Philip A. Higham. A scholar is included among the top collaborators of Philip A. Higham 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 Philip A. Higham. Philip A. Higham 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.
Seabrooke, Tina, et al.. (2025). Re-examining the bad news game: No evidence of improved discrimination of Indian true and fake news headlines. Psychonomic Bulletin & Review. 33(1). 13–13.
2.
Higham, Philip A., et al.. (2024). Exploring the Potential of Using a Text-Based Game to Inform Simulation Models of Risky Migration Decisions. Simulation & Gaming. 55(4). 716–735.
3.
Bijak, Jakub, et al.. (2023). Investigating immersion and migration decisions for agent-based modelling: A cautionary tale. Open Research Europe. 3. 34–34. 1 indexed citations
4.
Bijak, Jakub, et al.. (2023). Investigating immersion and migration decisions for agent-based modelling: A cautionary tale. Open Research Europe. 3. 34–34. 1 indexed citations
5.
Higham, Philip A., et al.. (2023). Gamified inoculation interventions do not improve discrimination between true and fake news: Reanalyzing existing research with receiver operating characteristic analysis.. Journal of Experimental Psychology General. 152(9). 2411–2437. 55 indexed citations breakdown →
6.
Higham, Philip A., et al.. (2023). Mean rating difference scores are poor measures of discernment: The role of response criteria. Current Opinion in Psychology. 56. 101785–101785. 8 indexed citations
7.
Higham, Philip A., Greta M. Fastrich, R B Potts, et al.. (2023). Spaced Retrieval Practice: Can Restudying Trump Retrieval?. Educational Psychology Review. 35(4). 3 indexed citations
8.
Bijak, Jakub, et al.. (2022). How safe is this trip? Judging personal safety in a pandemic based on information from different sources.. Journal of Experimental Psychology Applied. 28(3). 509–524. 2 indexed citations
9.
Higham, Philip A., et al.. (2022). The dark side of corrective feedback: Controlled and automatic influences of retrieval practice.. Journal of Experimental Psychology Learning Memory and Cognition. 48(5). 752–768. 1 indexed citations
10.
Higham, Philip A., et al.. (2021). Can you trust what you hear? Concurrent misinformation affects recall memory and judgments of guilt.. Journal of Experimental Psychology General. 150(9). 1741–1759. 4 indexed citations
11.
Higham, Philip A., et al.. (2017). Auditory hindsight bias: Fluency misattribution versus memory reconstruction.. Journal of Experimental Psychology Human Perception & Performance. 43(6). 1144–1159. 5 indexed citations
12.
Higham, Philip A., et al.. (2013). Dissociating early- and late-selection processes in recall: The mixed blessing of categorized study lists. Memory & Cognition. 41(5). 683–697. 7 indexed citations
13.
Higham, Philip A., et al.. (2012). Implicit learning of conjunctive rule sets: An alternative to artificial grammars. Consciousness and Cognition. 21(3). 1393–1400. 19 indexed citations
14.
Whittlesea, Bruce W. A., Philip A. Higham, & Jason P. Leboe. (2011). Constructions of remembering and metacognition : essays in honour of Bruce Whittlesea. Palgrave Macmillan eBooks. 18 indexed citations
15.
Luna, Karlos, et al.. (2011). Regulation of memory accuracy with multiple answers: The plurality option.. Journal of Experimental Psychology Applied. 17(2). 148–158. 31 indexed citations
16.
Higham, Philip A., Davide Bruno, & Timothy J. Perfect. (2010). Effects of study list composition on the word frequency effect and metacognitive attributions in recognition memory. Memory. 18(8). 883–899. 5 indexed citations
17.
Higham, Philip A.. (2007). No Special K! A signal detection framework for the strategic regulation of memory accuracy.. Journal of Experimental Psychology General. 136(1). 1–22. 69 indexed citations
18.
Higham, Philip A. & Catherine L Gerrard. (2005). Not all errors are created equal: Metacognition and changing answers on multiple-choice tests.. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale. 59(1). 28–34. 35 indexed citations
19.
Higham, Philip A.. (2002). Strong cues are not necessarily weak: Thomson and Tulving (1970) and the encoding specificity principle revisited. Memory & Cognition. 30(1). 67–80. 51 indexed citations
20.
Higham, Philip A.. (1997). Chunks are not enough: the insufficiency of feature frequency-based explanations of artificial grammar learning (in special issue on music cognition and performance). ePrints Soton (University of Southampton). 1 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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