Scania de Schonen
- Cognitive Neuroscience top 0.5%
- Experimental and Cognitive Psychology top 0.5%
- Developmental and Educational Psychology top 1%
- Computer Vision and Pattern Recognition top 2%
- Social Psychology top 2%
- Co-authors
- Olivier PascalisChristine DeruelleJohn MortonMarie Fabre-GrenetBruno GepnerBénédicte de Boysson-BardiesValérie A.G. VentureyraPeter W. Jusczyk
- Topics
- Face Recognition and Perception (26 papers)Child and Animal Learning Development (9 papers)Face recognition and analysis (8 papers)
In The Last Decade
Scania de Schonen
55 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 117
- Cognitive Neuroscience 2.6k
- Experimental and Cognitive Psychology 1.5k
- Developmental and Educational Psychology 973
- Computer Vision and Pattern Recognition 558
- Social Psychology 507
Countries citing papers authored by Scania de Schonen
This map shows the geographic impact of Scania de Schonen'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 Scania de Schonen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scania de Schonen more than expected).
Fields of papers citing papers by Scania de Schonen
This network shows the impact of papers produced by Scania de Schonen. 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 Scania de Schonen. The network helps show where Scania de Schonen may publish in the future.
Co-authorship network of co-authors of Scania de Schonen
This figure shows the co-authorship network connecting the top 25 collaborators of Scania de Schonen. A scholar is included among the top collaborators of Scania de Schonen 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 Scania de Schonen. Scania de Schonen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 50 | |
| 3 | 51 | |
| 4 | A visual conflict hypothesis for global-local visual deficits in Williams Syndrome: simulations and data | 2 |
| 5 | 18 | |
| 6 | 143 | |
| 7 | 200 | |
| 8 | 53 | |
| 9 | 18 | |
| 10 | 121 | |
| 11 | 9 | |
| 12 | 15 | |
| 13 | 10 | |
| 14 | 150 | |
| 15 | 28 | |
| 16 | 7 | |
| 17 | 46 | |
| 18 | 38 | |
| 19 | First come, first served: A scenario about the development of hemispheric specialization in face recognition during infancy. | 84 |
| 20 | 30 |
About Scania de Schonen
Scania de Schonen is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 58 papers that have together received 3.6k indexed citations. Recurring topics across this work include Face Recognition and Perception (26 papers), Child and Animal Learning Development (9 papers) and Face recognition and analysis (8 papers). The work is most often cited by research in Cognitive Neuroscience (2.6k citations), Experimental and Cognitive Psychology (1.5k citations) and Developmental and Educational Psychology (973 citations). Scania de Schonen has collaborated with scholars based in France, Canada and Italy. Frequent co-authors include Olivier Pascalis, Christine Deruelle, John Morton, Marie Fabre-Grenet, Bruno Gepner, Bénédicte de Boysson-Bardies, Valérie A.G. Ventureyra, Peter W. Jusczyk, Christophe Pallier and Michelle de Haan. Their work appears in journals such as NeuroImage, Child Development and Brain Research.
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.