Caroline Blais

3.1k total citations
89 papers, 2.0k citations indexed

About

Caroline Blais is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Caroline Blais has authored 89 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Cognitive Neuroscience, 31 papers in Experimental and Cognitive Psychology and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Caroline Blais's work include Face Recognition and Perception (50 papers), Visual perception and processing mechanisms (18 papers) and Visual Attention and Saliency Detection (12 papers). Caroline Blais is often cited by papers focused on Face Recognition and Perception (50 papers), Visual perception and processing mechanisms (18 papers) and Visual Attention and Saliency Detection (12 papers). Caroline Blais collaborates with scholars based in Canada, United Kingdom and Switzerland. Caroline Blais's co-authors include Daniel Fiset, Roberto Caldara, Rachael E. Jack, Christoph Scheepers, Frédéric Gosselin, Martin Arguin, Philippe G. Schyns, Daniel N. Bub, C. Roy and Jessica Royer and has published in prestigious journals such as PLoS ONE, Current Biology and Scientific Reports.

In The Last Decade

Caroline Blais

74 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline Blais Canada 21 1.5k 888 448 424 181 89 2.0k
Daniel Fiset Canada 23 2.1k 1.4× 993 1.1× 427 1.0× 491 1.2× 245 1.4× 89 2.6k
Ulrich Ansorge Austria 32 2.7k 1.8× 765 0.9× 697 1.6× 281 0.7× 207 1.1× 183 3.2k
Paola Ricciardelli Italy 18 1.6k 1.1× 556 0.6× 514 1.1× 194 0.5× 235 1.3× 69 2.1k
Alejandro Lleras United States 24 1.9k 1.3× 557 0.6× 352 0.8× 247 0.6× 170 0.9× 92 2.4k
Hillel Aviezer Israel 19 1.4k 1.0× 1.2k 1.3× 818 1.8× 182 0.4× 153 0.8× 43 2.1k
Oliver Langner Germany 14 1.2k 0.8× 979 1.1× 460 1.0× 484 1.1× 93 0.5× 21 2.6k
Giovanni Galfano Italy 27 1.9k 1.3× 733 0.8× 410 0.9× 143 0.3× 275 1.5× 71 2.3k
Nick Donnelly United Kingdom 28 1.9k 1.3× 724 0.8× 334 0.7× 427 1.0× 167 0.9× 104 2.4k
Gijsbert Bijlstra Netherlands 13 1.2k 0.8× 958 1.1× 557 1.2× 484 1.1× 89 0.5× 28 2.2k
Jelena Ristic Canada 23 2.1k 1.4× 550 0.6× 458 1.0× 158 0.4× 354 2.0× 68 2.4k

Countries citing papers authored by Caroline Blais

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Blais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Blais

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Blais. A scholar is included among the top collaborators of Caroline Blais 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 Caroline Blais. Caroline Blais 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.
Blais, Caroline, et al.. (2025). Part-based processing, but not holistic processing, predicts individual differences in face recognition abilities. Cognition. 256. 106057–106057. 1 indexed citations
2.
Blais, Caroline, et al.. (2025). Facial expression categorization predominantly relies on mid-spatial frequencies. Vision Research. 231. 108611–108611.
3.
Blais, Caroline, et al.. (2024). AB0309 FRACTURE RISK FOLLOWING DENOSUMAB DISCONTINUATION IN THE ONCOLOGIC POPULATION: INCIDENCE AND RISK FACTORS. Annals of the Rheumatic Diseases. 83. 1397–1397. 1 indexed citations
4.
Fiset, Daniel, et al.. (2023). Differences in eye movements for face recognition between Canadian and Chinese participants are not modulated by social orientation. PLoS ONE. 18(12). e0295256–e0295256. 1 indexed citations
5.
Fiset, Daniel, et al.. (2023). Pain in the eye of the beholder: Variations in pain visual representations as a function of face ethnicity and culture. British Journal of Psychology. 114(3). 621–637. 4 indexed citations
6.
Blais, Caroline, et al.. (2023). N250 amplitude is driven by the eyes in mid-to-high spatial frequencies. Journal of Vision. 23(9). 4969–4969.
7.
Boutet, Isabelle, et al.. (2022). Criminality labelling influences reactions to others’ pain. Heliyon. 8(12). e12068–e12068.
8.
Fiset, Daniel, et al.. (2022). Facial expression of pain: Sex differences in the discrimination of varying intensities.. Emotion. 23(5). 1254–1266. 3 indexed citations
9.
Blais, Caroline, et al.. (2020). Implicit race attitudes modulate visual information extraction for trustworthiness judgments. PLoS ONE. 15(9). e0239305–e0239305. 9 indexed citations
10.
Fiset, Daniel, et al.. (2020). Dual task interference on early perceptual processing. Attention Perception & Psychophysics. 83(4). 1777–1795. 2 indexed citations
11.
Tardif, Jessica, Sarah Cohan, Jessica Royer, et al.. (2018). Use of Face Information Varies Systematically From Developmental Prosopagnosics to Super-Recognizers. Psychological Science. 30(2). 300–308. 55 indexed citations
12.
Royer, Jessica, et al.. (2016). Efficient visual information for unfamiliar face matching despite viewpoint variations: It’s not in the eyes!. Vision Research. 123. 33–40. 13 indexed citations
13.
Guay, Samuel, et al.. (2016). Sex-Related Differences in Emotion Recognition in Multi-concussed Athletes. Journal of the International Neuropsychological Society. 23(1). 65–77. 19 indexed citations
14.
Tardif, J.‐C., Daniel Fiset, & Caroline Blais. (2014). Narcissistic personality differences in facial emotional expression categorization. Journal of Vision. 14(10). 1444–1444. 1 indexed citations
15.
Fiset, Daniel, Caroline Blais, Yong Zhang, et al.. (2012). Caucasian and Asian observers used the same visual features for race categorisation.. Journal of Vision. 12(9). 32–32. 1 indexed citations
16.
Blais, Caroline, C. Roy, Daniel Fiset, Martin Arguin, & Frédéric Gosselin. (2012). The eyes are not the window to basic emotions. Neuropsychologia. 50(12). 2830–2838. 131 indexed citations
17.
Roy, C., et al.. (2010). Visual information extraction for static and dynamic facial expression of emotions: an eye-tracking experiment. Journal of Vision. 10(7). 531–531. 10 indexed citations
18.
Blais, Caroline, Daniel Fiset, Martin Arguin, et al.. (2009). Reading between Eye Saccades. PLoS ONE. 4(7). e6448–e6448. 34 indexed citations
19.
Blais, Caroline, et al.. (2009). Orientation invariance in visual shape perception. Journal of Vision. 9(2). 14–14. 10 indexed citations
20.
Blais, Caroline, Rachael E. Jack, Christoph Scheepers, Daniel Fiset, & Roberto Caldara. (2008). Culture Shapes How We Look at Faces. PLoS ONE. 3(8). e3022–e3022. 405 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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