Véronique Izard
- Statistics and Probability top 0.05%
- Education top 0.5%
- Developmental and Educational Psychology top 0.5%
- Cognitive Neuroscience top 1%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Stanislas DehaenePierre PicaManuela PiazzaElizabeth S. SpelkeCathy LemerDenis Le BihanPhilippe PinelArlette Stréri
- Topics
- Cognitive and developmental aspects of mathematical skills (26 papers)Mathematics Education and Teaching Techniques (17 papers)Child and Animal Learning Development (13 papers)
- Cited by
- Statistics and ProbabilityDevelopmental and Educational PsychologyTheoretical Computer Science
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Véronique Izard
39 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Statistics and Probability 2.8k
- Education 1.7k
- Developmental and Educational Psychology 1.6k
- Cognitive Neuroscience 1.3k
- Experimental and Cognitive Psychology 386
Countries citing papers authored by Véronique Izard
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
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-authorship network of co-authors of Véronique Izard
This figure shows the co-authorship network connecting the top 25 collaborators of Véronique Izard. A scholar is included among the top collaborators of Véronique Izard 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 Véronique Izard. Véronique Izard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 12 | |
| 9 | 23 | |
| 10 | 26 | |
| 11 | 9 | |
| 12 | 47 | |
| 13 | 57 | |
| 14 | 10 | |
| 15 | 6 | |
| 16 | 159 | |
| 17 | 189 | |
| 18 | 66 | |
| 19 | 12 | |
| 20 | Tuning Curves for Approximate Numerosity in the Human Intraparietal Sulcusbreakdown → | 836 |
About Véronique Izard
Véronique Izard is a scholar working on Statistics and Probability, Developmental and Educational Psychology and Automotive Engineering, having authored 43 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (26 papers), Mathematics Education and Teaching Techniques (17 papers) and Child and Animal Learning Development (13 papers). The work is most often cited by research in Statistics and Probability (2.8k citations), Developmental and Educational Psychology (1.6k citations) and Theoretical Computer Science (87 citations). Véronique Izard has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Stanislas Dehaene, Pierre Pica, Manuela Piazza, Elizabeth S. Spelke, Cathy Lemer, Denis Le Bihan, Philippe Pinel, Arlette Stréri, Ghislaine Dehaene‐Lambertz and Sang Ah Lee. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Neuron.
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.