Csaba Pléh

2.6k citations
101 papers · 1.6k · h-index 19

Impact in

Papers in

Csaba Pléh

74 papers receiving 1.4k citations

Peers

Csaba Pléh
Comparison fields: 5 of 95
  • Developmental and Educational Psychology 713
  • Cognitive Neuroscience 808
  • Experimental and Cognitive Psychology 507
  • Language and Linguistics 335
  • Developmental Neuroscience 80
Replace Mikhaïl Kissine with:
Mikhaïl Kissine Belgium
Antonella Devescovi Italy
Margaret Kjelgaard United States
Cristina Burani Italy
Zohar Eviatar Israel
Trevor A. Harley United Kingdom
Mila Vulchanova Norway
Gert Westermann United Kingdom
Heather K. J. van der Lely United Kingdom
Judith R. Johnston Canada
Csaba Pléh relative to Mikhaïl Kissine Belgium Mikhaïl Kissine's profile →
Citations per field
00.5×4.1×
Mikhaïl Kissine · 1×
Citations per year

Countries citing papers authored by Csaba Pléh

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Pléh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003410
2 1988185
3 1985149
4 2012100
5 200566
6 201460
7 201753
8 200349
9 199744
10 200841
11 200636
12 200834
13 201127
14 200426
15 201824
16 200823
17 200919
18 201118
19 201418
20
200014

About Csaba Pléh

Csaba Pléh is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology, Cognitive Neuroscience, Language and Linguistics and Social Psychology, having authored 101 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (15 papers), Language, Metaphor, and Cognition (12 papers), Child and Animal Learning Development (10 papers), Language Development and Disorders (9 papers), Reading and Literacy Development (8 papers), Identity, Memory, and Therapy (7 papers), Linguistics, Language Diversity, and Identity (7 papers) and Second Language Acquisition and Learning (6 papers). The work is most often cited by research in Developmental and Educational Psychology (713 citations), Cognitive Neuroscience (808 citations), Experimental and Cognitive Psychology (507 citations), Language and Linguistics (335 citations) and Developmental Neuroscience (80 citations). Csaba Pléh has collaborated with scholars based in Hungary, United States and Austria. Frequent co-authors include Brian MacWhinney, Ágnes Lukács, Elizabeth Bates, Mihály Racsmány, Bálint Forgács, Anna Székely, Gowri K. Iyer, Teodora H. Mehotcheva, Nicole Y.Y. Wicha and Antonella Devescovi. Their work appears in journals such as Social Networks, Journal of Child Language, Computers in Human Behavior, Journal of the History of the Behavioral Sciences and Psychonomic Bulletin & Review.

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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