Rachael E. Jack

4.9k total citations · 1 hit paper
56 papers, 3.1k citations indexed

About

Rachael E. Jack is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Rachael E. Jack has authored 56 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cognitive Neuroscience, 34 papers in Experimental and Cognitive Psychology and 21 papers in Social Psychology. Recurrent topics in Rachael E. Jack's work include Face Recognition and Perception (40 papers), Evolutionary Psychology and Human Behavior (20 papers) and Face recognition and analysis (12 papers). Rachael E. Jack is often cited by papers focused on Face Recognition and Perception (40 papers), Evolutionary Psychology and Human Behavior (20 papers) and Face recognition and analysis (12 papers). Rachael E. Jack collaborates with scholars based in United Kingdom, United States and Canada. Rachael E. Jack's co-authors include Philippe G. Schyns, Roberto Caldara, Oliver Garrod, Christoph Scheepers, Caroline Blais, Hui Yu, Daniel Fiset, Chaona Chen, Ioannis Delis and Carlos Crivelli and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Current Biology.

In The Last Decade

Rachael E. Jack

49 papers receiving 3.0k citations

Hit Papers

Facial expressions of emo... 2012 2026 2016 2021 2012 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rachael E. Jack 1.9k 1.6k 1.1k 497 220 56 3.1k
Marco Bertamini 2.8k 1.4× 1.1k 0.7× 1.2k 1.0× 375 0.8× 126 0.6× 195 3.6k
Eva G. Krumhuber 1.4k 0.7× 1.4k 0.9× 1.1k 1.0× 343 0.7× 400 1.8× 94 2.9k
Roberto Caldara 3.9k 2.0× 2.5k 1.5× 1.1k 1.0× 1.0k 2.1× 307 1.4× 112 4.9k
Gernot Horstmann 1.9k 1.0× 725 0.4× 704 0.6× 292 0.6× 118 0.5× 81 2.6k
Gijsbert Bijlstra 1.2k 0.6× 958 0.6× 557 0.5× 484 1.0× 273 1.2× 28 2.2k
Annekathrin Schacht 3.1k 1.6× 1.7k 1.0× 877 0.8× 201 0.4× 127 0.6× 84 3.9k
Tuomas Eerola 4.0k 2.1× 1.5k 0.9× 1.7k 1.5× 795 1.6× 108 0.5× 153 5.2k
Maria Gendron 1.7k 0.8× 1.4k 0.9× 1.4k 1.3× 144 0.3× 280 1.3× 46 3.2k
Ulrich Ansorge 2.7k 1.4× 765 0.5× 697 0.6× 281 0.6× 83 0.4× 183 3.2k
William Forde Thompson 4.6k 2.4× 1.9k 1.2× 1.6k 1.4× 504 1.0× 166 0.8× 191 6.0k

Countries citing papers authored by Rachael E. Jack

Since Specialization
Citations

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

Fields of papers citing papers by Rachael E. Jack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachael E. Jack. 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 Rachael E. Jack. The network helps show where Rachael E. Jack may publish in the future.

Co-authorship network of co-authors of Rachael E. Jack

This figure shows the co-authorship network connecting the top 25 collaborators of Rachael E. Jack. A scholar is included among the top collaborators of Rachael E. Jack 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 Rachael E. Jack. Rachael E. Jack 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.
Bjornsdottir, R. Thora, et al.. (2024). Social class perception is driven by stereotype-related facial features.. Journal of Experimental Psychology General. 153(3). 742–753. 4 indexed citations
2.
Chen, Chaona, et al.. (2024). Facial expressions of apology comprise complex social signals. Journal of Vision. 24(10). 868–868. 1 indexed citations
3.
Ince, Robin A. A., et al.. (2023). In the face of diversity: Face ethnicity influences the use of face features for social trait perception. Journal of Vision. 23(9). 5247–5247.
4.
Chen, Chaona, Chaona Chen, Daniel S. Messinger, et al.. (2023). Cultural facial expressions dynamically convey emotion category and intensity information. Current Biology. 34(1). 213–223.e5. 10 indexed citations
5.
Snoek, Lukas, Rachael E. Jack, Philippe G. Schyns, et al.. (2023). Testing, explaining, and exploring models of facial expressions of emotions. Science Advances. 9(6). eabq8421–eabq8421. 14 indexed citations
6.
Lalitharatne, Thilina Dulantha, et al.. (2022). Face mediated human–robot interaction for remote medical examination. Scientific Reports. 12(1). 12592–12592. 12 indexed citations
7.
Lalitharatne, Thilina Dulantha, et al.. (2022). Simulating dynamic facial expressions of pain from visuo-haptic interactions with a robotic patient. Scientific Reports. 12(1). 4200–4200. 6 indexed citations
8.
Pichon, Swann, Benoît Bediou, Rachael E. Jack, et al.. (2020). Emotion perception in habitual players of action video games.. Emotion. 21(6). 1324–1339. 15 indexed citations
9.
Jack, Rachael E., et al.. (2019). The use of contextual information in forensic toxicology: An international survey of toxicologists' experiences. Science & Justice. 59(4). 380–389. 13 indexed citations
10.
Chen, Chaona & Rachael E. Jack. (2017). Discovering cultural differences (and similarities) in facial expressions of emotion. Current Opinion in Psychology. 17. 61–66. 30 indexed citations
11.
Jack, Rachael E., Carlos Crivelli, & Thalia Wheatley. (2017). Data-Driven Methods to Diversify Knowledge of Human Psychology. Trends in Cognitive Sciences. 22(1). 1–5. 62 indexed citations
12.
Jack, Rachael E., Wei Sun, Ioannis Delis, Oliver Garrod, & Philippe G. Schyns. (2016). Four not six: Revealing culturally common facial expressions of emotion.. Journal of Experimental Psychology General. 145(6). 708–730. 142 indexed citations
13.
Jack, Rachael E.. (2015). Understanding the face as a dynamic communication tool. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1 indexed citations
14.
Jack, Rachael E. & Philippe G. Schyns. (2015). The Human Face as a Dynamic Tool for Social Communication. Current Biology. 25(14). R621–R634. 241 indexed citations
15.
Jack, Rachael E., Oliver Garrod, & Philippe G. Schyns. (2014). Dynamic Facial Expressions of Emotion Transmit an Evolving Hierarchy of Signals over Time. Current Biology. 24(2). 187–192. 336 indexed citations
17.
Jack, Rachael E., et al.. (2013). Dynamic signaling of facial expressions transmit social information in a hierarchical manner over time. Journal of Vision. 13(9). 1277–1277. 1 indexed citations
18.
Jack, Rachael E., Roberto Caldara, & Philippe G. Schyns. (2011). Internal representations reveal cultural diversity in expectations of facial expressions of emotion.. Journal of Experimental Psychology General. 141(1). 19–25. 169 indexed citations
19.
Jack, Rachael E., Caroline Blais, Christoph Scheepers, Philippe G. Schyns, & Roberto Caldara. (2009). Cultural Confusions Show that Facial Expressions Are Not Universal. Current Biology. 19(18). 1543–1548. 375 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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