Véronique Izard

7.8k citations
47 papers · 5.0k · 4 hit papers · h-index 23

Impact in

Papers in

Véronique Izard

43 papers receiving 4.8k citations

Véronique Izard's Hit Papers

Newborn infants perceive abstract numbers 2009 · 481 citations
4810+7+14Years since publication250500750

Peers

Véronique Izard
Comparison fields: 5 of 148
  • Statistics and Probability 3.8k
  • Developmental and Educational Psychology 2.1k
  • Theoretical Computer Science 114
  • Cognitive Neuroscience 1.7k
  • Education 2.3k
Replace Justin Halberda with:
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Bert Reynvoet Belgium
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Martin H. Fischer Germany
Pierre Pica France
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Citations per field
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Citations per year

Countries citing papers authored by Véronique Izard

Since Specialization
Citations

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

Fields of papers citing papers by Véronique Izard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Tuning Curves for Approximate Numerosity in the Human Intraparietal Sulcus
Hit paper breakdown →
2004840
2
Exact and Approximate Arithmetic in an Amazonian Indigene Group
Hit paper breakdown →
2004823
3
Newborn infants perceive abstract numbers
Hit paper breakdown →
2009481
4
Log or Linear? Distinct Intuitions of the Number Scale in Western and Amazonian Indigene Cultures
Hit paper breakdown →
2008440
5 2007295
6 2007279
7 2008235
8 2006228
9 2013201
10 2008190
11 2014181
12 2010159
13 2009105
14 200173
15 200866
16 201158
17 201358
18
Development of Sensitivity to Geometry in Visual Forms.
200950
19 201447
20 201526

About Véronique Izard

Véronique Izard is a scholar working on Statistics and Probability, Developmental and Educational Psychology, Education, Automotive Engineering and Cognitive Neuroscience, having authored 47 papers that have together received 5.0k indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (30 papers), Mathematics Education and Teaching Techniques (19 papers), Child and Animal Learning Development (16 papers), Spatial Cognition and Navigation (12 papers), Reading and Literacy Development (7 papers), Categorization, perception, and language (6 papers), Education Methods and Practices (3 papers) and Face Recognition and Perception (3 papers). The work is most often cited by research in Statistics and Probability (3.8k citations), Developmental and Educational Psychology (2.1k citations), Theoretical Computer Science (114 citations), Cognitive Neuroscience (1.7k citations) and Education (2.3k citations). Véronique Izard has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Stanislas Dehaene, Elizabeth S. Spelke, Pierre Pica, Manuela Piazza, Cathy Lemer, Arlette Stréri, Denis Le Bihan, Philippe Pinel, Coralie Sann and Jan Lammertyn. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences, Cognition, Neuropsychologia and Behavioral and Brain Sciences.

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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