Jari Kätsyri

1.8k citations
32 papers · 1.3k · h-index 20

Impact in

Papers in

Jari Kätsyri

31 papers receiving 1.2k citations

Peers

Jari Kätsyri
Comparison fields: 5 of 103
  • Cognitive Neuroscience 688
  • Experimental and Cognitive Psychology 377
  • Human-Computer Interaction 157
  • Social Psychology 458
  • Applied Psychology 40
Replace Tanja Bänziger with:
Tanja Bänziger Sweden
Ruud Hortensius Netherlands
Chin-Chang Ho United States
Gustav Kuhn United Kingdom
Alan Cowen United States
Xun He United Kingdom
Joel Krueger United Kingdom
Gwyneth Doherty‐Sneddon United Kingdom
Andreja Bubić Croatia
Rainer Krause Germany
Jari Kätsyri relative to Tanja Bänziger Sweden Tanja Bänziger's profile →
Citations per field
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Tanja Bänziger · 1×
Citations per year

Countries citing papers authored by Jari Kätsyri

Since Specialization
Citations

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

Fields of papers citing papers by Jari Kätsyri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jari Kätsyri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jari Kätsyri Line = papers co-authored together Jari Kätsyri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015307
2 200880
3 200771
4 201270
5 201360
6 201359
7 201453
8 201650
9 201647
10 201146
11 201444
12 201043
13 201141
14 201939
15 201835
16 201926
17
Identification of synthetic and natural emotional facial expressions.
200325
18 201823
19 201121
20 201620

About Jari Kätsyri

Jari Kätsyri is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology, Computer Vision and Pattern Recognition and Sociology and Political Science, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Face Recognition and Perception (15 papers), Evolutionary Psychology and Human Behavior (7 papers), Action Observation and Synchronization (6 papers), Neural and Behavioral Psychology Studies (5 papers), Face recognition and analysis (5 papers), Multisensory perception and integration (4 papers), Social Robot Interaction and HRI (4 papers) and Aesthetic Perception and Analysis (4 papers). The work is most often cited by research in Cognitive Neuroscience (688 citations), Experimental and Cognitive Psychology (377 citations), Human-Computer Interaction (157 citations), Social Psychology (458 citations) and Applied Psychology (40 citations). Jari Kätsyri has collaborated with scholars based in Finland, Netherlands and United States. Frequent co-authors include Tapio Takala, Meeri Mäkäräinen, Niklas Ravaja, Mikko Sams, Mikko Sams, Béatrice de Gelder, Simo Järvelä, Lauri Nummenmaa, Riitta Hari and J. Matias Kivikangas. Their work appears in journals such as Frontiers in Psychology, International Journal of Human-Computer Studies, PLoS ONE, Journal of Autism and Developmental Disorders and Brain Imaging and Behavior.

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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