Jérôme Prado

2.7k citations
70 papers · 1.7k · h-index 22

Impact in

Papers in

Jérôme Prado

60 papers receiving 1.7k citations

Peers

Jérôme Prado
Comparison fields: 5 of 83
  • Statistics and Probability 649
  • Cognitive Neuroscience 1.2k
  • Developmental and Educational Psychology 647
  • General Decision Sciences 39
  • Experimental and Cognitive Psychology 245
Replace Filip Van Opstal with:
Filip Van Opstal Belgium
Gurvan Le Clec’H France
Mario Bonato Italy
Marc Thioux Netherlands
Fruzsina Soltész United Kingdom
Arnaud Szmalec Belgium
Yang Seok Cho South Korea
Luisa Girelli Italy
Silke M. Göbel United Kingdom
Donald J. Bolger United States
Jérôme Prado relative to Filip Van Opstal Belgium Filip Van Opstal's profile →
Citations per field
00.5×1.5×1.9×
Filip Van Opstal · 1×
Citations per year

Countries citing papers authored by Jérôme Prado

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Prado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005262
2 2011130
3 2011126
4 2012108
5 201483
6 201575
7 201064
8 201460
9 200760
10 201047
11 201547
12 200747
13 201746
14 201144
15 201242
16 201640
17 201730
18 201428
19 201324
20 200824

About Jérôme Prado

Jérôme Prado is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Statistics and Probability, Education and Social Psychology, having authored 70 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (40 papers), Reading and Literacy Development (22 papers), Child and Animal Learning Development (19 papers), Mathematics Education and Teaching Techniques (16 papers), Neuroscience, Education and Cognitive Function (15 papers), Neural and Behavioral Psychology Studies (14 papers), Action Observation and Synchronization (7 papers) and Neurobiology of Language and Bilingualism (6 papers). The work is most often cited by research in Statistics and Probability (649 citations), Cognitive Neuroscience (1.2k citations), Developmental and Educational Psychology (647 citations), General Decision Sciences (39 citations) and Experimental and Cognitive Psychology (245 citations). Jérôme Prado has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include James R. Booth, Ira Noveck, Daniel H. Weissman, Henry Kennedy, Simon Clavagnier, Marie-Thérèse Perenin, Jean‐Baptiste Van der Henst, Hélène Otzenberger, Christian Scheiber and Catherine Thévenot. Their work appears in journals such as NeuroImage, Cerebral Cortex, Journal of Cognitive Neuroscience, Developmental Cognitive Neuroscience and Developmental Science.

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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