Valéria Csépe

6.0k total citations · 1 hit paper
117 papers, 3.4k citations indexed

About

Valéria Csépe is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Valéria Csépe has authored 117 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Cognitive Neuroscience, 49 papers in Developmental and Educational Psychology and 39 papers in Experimental and Cognitive Psychology. Recurrent topics in Valéria Csépe's work include Neuroscience and Music Perception (37 papers), Reading and Literacy Development (33 papers) and Multisensory perception and integration (20 papers). Valéria Csépe is often cited by papers focused on Neuroscience and Music Perception (37 papers), Reading and Literacy Development (33 papers) and Multisensory perception and integration (20 papers). Valéria Csépe collaborates with scholars based in Hungary, Germany and United Kingdom. Valéria Csépe's co-authors include Dénes Szűcs, Ferenc Honbolygó, Leo Blomert, G. Karmos, Mihály Molnár, Dénes Tóth, István Winkler, Daisy Bertrand, Anniek Vaessen and Luís Faísca and has published in prestigious journals such as PLoS ONE, Child Development and Scientific Reports.

In The Last Decade

Valéria Csépe

109 papers receiving 3.2k citations

Hit Papers

Orthographic Depth and Its Impact on Universal Predictors... 2010 2026 2015 2020 2010 200 400 600

Peers

Valéria Csépe
Comparison fields: 5 of 97
  • Cognitive Neuroscience 2.4k
  • Developmental and Educational Psychology 1.4k
  • Experimental and Cognitive Psychology 1.0k
  • Statistics and Probability 711
  • Education 445
Replace J. Richard Hanley with:
J. Richard Hanley United Kingdom
Marc F. Joanisse Canada
Régine Kolinsky Belgium
Pierre Perruchet France
Li Hai Tan Hong Kong
Jarmo A. Hämäläinen Finland
Bruno Nazarian France
Daniele Schön France
E. Juliana Paré‐Blagoev United States
Guinevere F. Eden United States
J. Richard Hanley United Kingdom View profile →
Citations per field, relative to Valéria Csépe
Valéria Csépe · 1×
Citations per year, relative to Valéria Csépe
Valéria Csépe · 1×

Countries citing papers authored by Valéria Csépe

Since Specialization
Citations

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

Fields of papers citing papers by Valéria Csépe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valéria Csépe

This figure shows the co-authorship network connecting the top 25 collaborators of Valéria Csépe. A scholar is included among the top collaborators of Valéria Csépe 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 Valéria Csépe. Valéria Csépe 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
# Work Indexed citations
1 2
2 3
3 11
4 4
5 10
6 4
7 14
8 45
9 18
10 37
11 24
12 24
13 5
14 70
15 52
16 25
17 47
18 165
19 167
20 25

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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