Caroline Blais

78 papers and 1.8k indexed citations i.

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 78 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Cognitive Neuroscience, 26 papers in Experimental and Cognitive Psychology and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Caroline Blais’s work include Face Recognition and Perception (44 papers), Visual perception and processing mechanisms (18 papers) and Visual Attention and Saliency Detection (11 papers). Caroline Blais is often cited by papers focused on Face Recognition and Perception (44 papers), Visual perception and processing mechanisms (18 papers) and Visual Attention and Saliency Detection (11 papers). Caroline Blais collaborates with scholars based in Canada, United Kingdom and Switzerland. Caroline Blais's co-authors include Daniel Fiset, Roberto Caldara, Christoph Scheepers, Rachael E. Jack, 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

Co-authorship network of co-authors of Caroline Blais i

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.

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).

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
2025