Árpád Csathó

1.7k citations
58 papers · 1.2k · h-index 20

Impact in

Papers in

Árpád Csathó

55 papers receiving 1.2k citations

Peers

Árpád Csathó
Comparison fields: 5 of 134
  • Experimental and Cognitive Psychology 295
  • Cognitive Neuroscience 337
  • Social Psychology 262
  • Applied Psychology 56
  • Clinical Psychology 223
Replace Gina M. Grimshaw with:
Gina M. Grimshaw New Zealand
Mathew A. Harris United Kingdom
Feng Zhou China
J. Graham Beaumont United Kingdom
János Kállai Hungary
Trinity Urban United States
Kirsten Jordan Germany
Sven C. Mueller Belgium
Scott M. Lewis United States
Μαριέττα Παπαδάτου-Παστού Greece
Árpád Csathó relative to Gina M. Grimshaw New Zealand Gina M. Grimshaw's profile →
Citations per field
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Gina M. Grimshaw · 1×
Citations per year

Countries citing papers authored by Árpád Csathó

Since Specialization
Citations

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

Fields of papers citing papers by Árpád Csathó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Árpád Csathó, 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 Árpád Csathó Line = papers co-authored together Árpád Csathó links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003100
2 200787
3 201758
4 202157
5 200355
6 201851
7 201548
8 201248
9 201448
10 200546
11 201843
12 201436
13 200535
14 200532
15 200330
16 201827
17 201526
18 200424
19 201523
20 201523

About Árpád Csathó

Árpád Csathó is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology, Clinical Psychology and Cardiology and Cardiovascular Medicine, having authored 58 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (12 papers), Evolutionary Psychology and Human Behavior (10 papers), Personality Traits and Psychology (8 papers), Visual perception and processing mechanisms (8 papers), Heart Rate Variability and Autonomic Control (7 papers), Spatial Cognition and Navigation (4 papers), Sexual Differentiation and Disorders (4 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (295 citations), Cognitive Neuroscience (337 citations), Social Psychology (262 citations), Applied Psychology (56 citations) and Clinical Psychology (223 citations). Árpád Csathó has collaborated with scholars based in Hungary, Netherlands and United Kingdom. Frequent co-authors include Béla Birkás, Dimitri van der Linden, Kázmér Karádi, János Kállai, Peter A. van der Helm, John T. Manning, István Hernádi, Tamás Bereczkei, Gergely Darnai and Tamás Makány. Their work appears in journals such as Personality and Individual Differences, Frontiers in Psychology, Acta Psychologica, PLoS ONE and Quarterly Journal of Experimental Psychology.

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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