Linda Jeffery

4.4k total citations
83 papers, 3.3k citations indexed

About

Linda Jeffery is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Linda Jeffery has authored 83 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Cognitive Neuroscience, 43 papers in Experimental and Cognitive Psychology and 27 papers in Computer Vision and Pattern Recognition. Recurrent topics in Linda Jeffery's work include Face Recognition and Perception (71 papers), Evolutionary Psychology and Human Behavior (43 papers) and Face recognition and analysis (24 papers). Linda Jeffery is often cited by papers focused on Face Recognition and Perception (71 papers), Evolutionary Psychology and Human Behavior (43 papers) and Face recognition and analysis (24 papers). Linda Jeffery collaborates with scholars based in Australia, United Kingdom and United States. Linda Jeffery's co-authors include Gillian Rhodes, Colin W. G. Clifford, Tamara Watson, Elizabeth Pellicano, David A. Leopold, Elinor McKone, Ken Nakayama, Romina Palermo, Emma Jaquet and Kate Crookes and has published in prestigious journals such as PLoS ONE, Current Biology and Scientific Reports.

In The Last Decade

Linda Jeffery

83 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linda Jeffery Australia 28 2.8k 1.8k 758 361 325 83 3.3k
Romina Palermo Australia 37 3.6k 1.3× 1.9k 1.1× 979 1.3× 772 2.1× 698 2.1× 120 4.6k
Roberto Caldara Switzerland 34 3.9k 1.4× 2.5k 1.4× 1.0k 1.4× 231 0.6× 1.1k 3.3× 112 4.9k
D. Rowland United Kingdom 5 2.6k 0.9× 1.9k 1.1× 191 0.3× 689 1.9× 750 2.3× 9 4.0k
Markus Bindemann United Kingdom 30 2.0k 0.7× 1.1k 0.6× 1.1k 1.5× 111 0.3× 433 1.3× 94 2.6k
Catherine J. Mondloch Canada 38 5.8k 2.1× 3.9k 2.2× 1.8k 2.4× 391 1.1× 785 2.4× 117 7.0k
Richard Le Grand Canada 15 3.6k 1.3× 1.8k 1.0× 1.2k 1.6× 168 0.5× 349 1.1× 19 3.9k
Daniel Fiset Canada 23 2.1k 0.7× 993 0.6× 491 0.6× 165 0.5× 427 1.3× 89 2.6k
Jean‐Yves Baudouin France 24 1.2k 0.4× 952 0.5× 210 0.3× 385 1.1× 338 1.0× 69 2.0k
Daniel Lundqvist Sweden 26 2.7k 0.9× 1.4k 0.8× 225 0.3× 248 0.7× 706 2.2× 63 3.4k
Brad Duchaine United States 29 3.3k 1.2× 1.5k 0.9× 1.3k 1.7× 157 0.4× 418 1.3× 83 3.7k

Countries citing papers authored by Linda Jeffery

Since Specialization
Citations

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

Fields of papers citing papers by Linda Jeffery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda Jeffery

This figure shows the co-authorship network connecting the top 25 collaborators of Linda Jeffery. A scholar is included among the top collaborators of Linda Jeffery 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 Linda Jeffery. Linda Jeffery 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.
Jeffery, Linda, et al.. (2021). Autistic Traits are Associated with Less Precise Perceptual Integration of Face Identity. Journal of Autism and Developmental Disorders. 52(5). 2168–2179. 9 indexed citations
2.
Griffiths, Sarah, Gillian Rhodes, Linda Jeffery, Romina Palermo, & Markus Neumann. (2017). The average facial expression of a crowd influences impressions of individual expressions.. Journal of Experimental Psychology Human Perception & Performance. 44(2). 311–319. 25 indexed citations
3.
Kloth, Nadine, Linda Jeffery, & Gillian Rhodes. (2015). Gaze direction affects the magnitude of face identity aftereffects. Journal of Vision. 15(2). 22–22. 3 indexed citations
4.
Jeffery, Linda, et al.. (2014). Adaptation to Dynamic Faces Produces Face Identity Aftereffects. Journal of Vision. 14(10). 554–554. 1 indexed citations
5.
6.
Jeffery, Linda, et al.. (2013). Four year-olds use norm-based coding for face identity. Cognition. 127(2). 258–263. 22 indexed citations
7.
Fiorentini, Chiara, et al.. (2012). Reduced face identity aftereffects in relatives of children with autism. Neuropsychologia. 50(12). 2926–2932. 43 indexed citations
8.
Blaha, Leslie M., et al.. (2011). Adaptation modulates the electrophysiological substrates of perceived facial distortion: Support for opponent coding. Journal of Vision. 11(11). 583–583. 2 indexed citations
9.
Palermo, Romina, et al.. (2011). Abnormal adaptive coding of identity in congenital prosopagnosia. Journal of Vision. 11(11). 572–572. 1 indexed citations
10.
Jeffery, Linda, Gillian Rhodes, Elinor McKone, et al.. (2011). Distinguishing norm-based from exemplar-based coding of identity in children: Evidence from face identity aftereffects.. Journal of Experimental Psychology Human Perception & Performance. 37(6). 1824–1840. 37 indexed citations
11.
Jeffery, Linda, et al.. (2011). Race-specific norms for coding face identity and a functional role for norms. Journal of Vision. 11(13). 9–9. 67 indexed citations
12.
Palermo, Romina, Davide Rivolta, Cassandra Wilson, & Linda Jeffery. (2011). Adaptive face space coding in congenital prosopagnosia: Typical figural aftereffects but abnormal identity aftereffects. Neuropsychologia. 49(14). 3801–3812. 49 indexed citations
13.
Susilo, Tirta, Elinor McKone, Hugh Dennett, et al.. (2010). Face recognition impairments despite normal holistic processing and face space coding: Evidence from a case of developmental prosopagnosia. Cognitive Neuropsychology. 27(8). 636–664. 63 indexed citations
14.
Jeffery, Linda, et al.. (2010). Race-specific norms for coding face identity and a functional role for norms. Journal of Vision. 10(7). 706–706. 5 indexed citations
15.
Rhodes, Gillian, Tamara Watson, Linda Jeffery, & Colin W. G. Clifford. (2010). Perceptual adaptation helps us identify faces. Vision Research. 50(10). 963–968. 56 indexed citations
16.
Blaha, Leslie M., et al.. (2010). Adaptation modulates the electrophysiological substrates of perceived facial distortion: Support for opponent coding. Neuropsychologia. 48(13). 3743–3756. 24 indexed citations
17.
Pellicano, Elizabeth, Linda Jeffery, David C. Burr, & Gillian Rhodes. (2007). Abnormal Adaptive Face-Coding Mechanisms in Children with Autism Spectrum Disorder. Current Biology. 17(17). 1508–1512. 154 indexed citations
18.
Jeffery, Linda, et al.. (2007). Broadly tuned, view-specific coding of face shape: Opposing figural aftereffects can be induced in different views. Vision Research. 47(24). 3070–3077. 27 indexed citations
19.
Waran, Natalie, et al.. (2004). Recording of ECG signals on a portable MiniDisc recorder for time and frequency domain heart rate variability analysis. Physiology & Behavior. 83(5). 729–738. 16 indexed citations
20.
Rhodes, Gillian, et al.. (2000). Sex‐typicality and attractiveness: Are supermale and superfemale faces super‐attractive?. British Journal of Psychology. 91(1). 125–140. 173 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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