Phil McAleer

2.6k total citations · 2 hit papers
30 papers, 1.7k citations indexed

About

Phil McAleer is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Phil McAleer has authored 30 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 12 papers in Social Psychology and 11 papers in Experimental and Cognitive Psychology. Recurrent topics in Phil McAleer's work include Action Observation and Synchronization (9 papers), Evolutionary Psychology and Human Behavior (6 papers) and Neural dynamics and brain function (5 papers). Phil McAleer is often cited by papers focused on Action Observation and Synchronization (9 papers), Evolutionary Psychology and Human Behavior (6 papers) and Neural dynamics and brain function (5 papers). Phil McAleer collaborates with scholars based in United Kingdom, France and United States. Phil McAleer's co-authors include Pascal Belin, Frank Pollick, Lawrie S. McKay, David R. Simmons, Ashley Robertson, Alexander Todorov, Patricia E.G. Bestelmeyer, Marianne Latinus, Frances Crabbe and Scott Love and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Phil McAleer

28 papers receiving 1.6k citations

Hit Papers

Vision in autism spectrum disorders 2009 2026 2014 2020 2009 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phil McAleer United Kingdom 18 1.2k 500 317 260 141 30 1.7k
Joshua K. Hartshorne United States 17 870 0.7× 433 0.9× 194 0.6× 457 1.8× 77 0.5× 44 1.7k
Marianne Latinus France 25 2.0k 1.7× 1.2k 2.3× 326 1.0× 198 0.8× 100 0.7× 50 2.5k
Gustav Kuhn United Kingdom 27 1.5k 1.3× 401 0.8× 898 2.8× 349 1.3× 154 1.1× 88 2.2k
Michael Spezio United States 17 1.4k 1.2× 367 0.7× 421 1.3× 212 0.8× 384 2.7× 54 2.1k
Rachel A. Robbins Australia 17 1.4k 1.2× 720 1.4× 251 0.8× 220 0.8× 94 0.7× 37 1.8k
Mikkel Wallentin Denmark 27 1.5k 1.3× 744 1.5× 646 2.0× 353 1.4× 78 0.6× 74 2.6k
Ana P. Pinheiro Portugal 23 987 0.8× 594 1.2× 380 1.2× 232 0.9× 72 0.5× 80 1.5k
Hillel Aviezer Israel 19 1.4k 1.2× 1.2k 2.3× 818 2.6× 153 0.6× 156 1.1× 43 2.1k
Charles Darwin United States 12 517 0.4× 588 1.2× 630 2.0× 127 0.5× 163 1.2× 36 1.8k
Brad Duchaine United States 29 3.3k 2.8× 1.5k 3.1× 418 1.3× 327 1.3× 157 1.1× 83 3.7k

Countries citing papers authored by Phil McAleer

Since Specialization
Citations

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

Fields of papers citing papers by Phil McAleer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phil McAleer

This figure shows the co-authorship network connecting the top 25 collaborators of Phil McAleer. A scholar is included among the top collaborators of Phil McAleer 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 Phil McAleer. Phil McAleer 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.
Nordmann, Emily, et al.. (2022). Data Visualization Using R for Researchers Who Do Not Use R. Advances in Methods and Practices in Psychological Science. 5(2). 23 indexed citations
2.
Paterson, Helena, Emily Nordmann, Phil McAleer, et al.. (2022). Open-source tutorials benefit the field. Nature Reviews Psychology. 1(6). 312–313. 1 indexed citations
3.
Baus, Cristina, et al.. (2019). Forming social impressions from voices in native and foreign languages. Scientific Reports. 9(1). 414–414. 36 indexed citations
4.
Belin, Pascal, et al.. (2018). Judgements of a speaker’s personality are correlated across differing content and stimulus type. PLoS ONE. 13(10). e0204991–e0204991. 40 indexed citations
5.
Belin, Pascal, et al.. (2017). The sound of trustworthiness: Acoustic-based modulation of perceived voice personality. PLoS ONE. 12(10). e0185651–e0185651. 45 indexed citations
6.
Pernet, Cyril, Phil McAleer, Marianne Latinus, et al.. (2015). The human voice areas: Spatial organization and inter-individual variability in temporal and extra-temporal cortices. NeuroImage. 119. 164–174. 176 indexed citations
7.
Yao, Bo, Graham G. Scott, Phil McAleer, Patrick O’Donnell, & Sara C. Sereno. (2014). Familiarity with Interest Breeds Gossip: Contributions of Emotion, Expectation, and Reputation. PLoS ONE. 9(8). e104916–e104916. 7 indexed citations
8.
9.
McAleer, Phil, Alexander Todorov, & Pascal Belin. (2014). How Do You Say ‘Hello’? Personality Impressions from Brief Novel Voices. PLoS ONE. 9(3). e90779–e90779. 245 indexed citations breakdown →
10.
McAleer, Phil, Frank Pollick, Scott Love, Frances Crabbe, & Jeffrey M. Zacks. (2013). The role of kinematics in cortical regions for continuous human motion perception. Cognitive Affective & Behavioral Neuroscience. 14(1). 307–318. 17 indexed citations
11.
Latinus, Marianne, Phil McAleer, Patricia E.G. Bestelmeyer, & Pascal Belin. (2013). Norm-Based Coding of Voice Identity in Human Auditory Cortex. Current Biology. 23(12). 1075–1080. 96 indexed citations
12.
McKay, Lawrie S., David R. Simmons, Phil McAleer, et al.. (2011). Do distinct atypical cortical networks process biological motion information in adults with Autism Spectrum Disorders?. NeuroImage. 59(2). 1524–1533. 60 indexed citations
13.
Petrini, Karin, Frank Pollick, Sofia Dahl, et al.. (2011). Action expertise reduces brain activity for audiovisual matching actions: An fMRI study with expert drummers. NeuroImage. 56(3). 1480–1492. 60 indexed citations
14.
McAleer, Phil, Jim Kay, Frank Pollick, & M. D. Rutherford. (2010). Intention Perception in High Functioning People with Autism Spectrum Disorders Using Animacy Displays Derived from Human Actions. Journal of Autism and Developmental Disorders. 41(8). 1053–1063. 16 indexed citations
15.
Petrini, Karin, Phil McAleer, & Frank Pollick. (2010). Audiovisual integration of emotional signals from music improvisation does not depend on temporal correspondence. Brain Research. 1323. 139–148. 27 indexed citations
16.
Simmons, David R., et al.. (2009). Vision in autism spectrum disorders. Vision Research. 49(22). 2705–2739. 601 indexed citations breakdown →
17.
McKay, Lawrie S., David R. Simmons, Phil McAleer, & Frank Pollick. (2009). Contribution of configural information in a direction discrimination task: Evidence using a novel masking paradigm. Vision Research. 49(20). 2503–2508. 9 indexed citations
18.
McAleer, Phil & Frank Pollick. (2008). Understanding intention from minimal displays of human activity. Behavior Research Methods. 40(3). 830–839. 21 indexed citations
19.
Simmons, David R., et al.. (2007). Neural noise and autism spectrum disorders. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 20 indexed citations
20.
Pollick, Frank, Joshua G. Hale, & Phil McAleer. (2003). Visual Perception of Humanoid Movement. CogPrints (University of Southampton). 137–55. 4 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026