Anne-Marie Schuller
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 10%
- Developmental and Educational Psychology top 10%
- Statistics and Probability top 5%
- Psychiatry and Mental health
- Co-authors
- Bruno RossionValérie GoffauxBoutheina JemelMarc CrommelinckRaymond BruyerMagali PerquinMarie‐Lise LairMichel Vaillant
- Topics
- Face Recognition and Perception (5 papers)Visual perception and processing mechanisms (4 papers)Cognitive and developmental aspects of mathematical skills (4 papers)
- Partner nations
- BelgiumLuxembourgFrance
In The Last Decade
Anne-Marie Schuller
11 papers receiving 428 citations
Peers
Comparison fields: 5 of 51
- Cognitive Neuroscience 366
- Experimental and Cognitive Psychology 82
- Developmental and Educational Psychology 81
- Statistics and Probability 71
- Psychiatry and Mental health 67
Countries citing papers authored by Anne-Marie Schuller
This map shows the geographic impact of Anne-Marie Schuller'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 Anne-Marie Schuller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne-Marie Schuller more than expected).
Fields of papers citing papers by Anne-Marie Schuller
This network shows the impact of papers produced by Anne-Marie Schuller. 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 Anne-Marie Schuller. The network helps show where Anne-Marie Schuller may publish in the future.
Co-authorship network of co-authors of Anne-Marie Schuller
This figure shows the co-authorship network connecting the top 25 collaborators of Anne-Marie Schuller. A scholar is included among the top collaborators of Anne-Marie Schuller 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 Anne-Marie Schuller. Anne-Marie Schuller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 38 | |
| 4 | 25 | |
| 5 | 81 | |
| 6 | 16 | |
| 7 | 28 | |
| 8 | 32 | |
| 9 | 43 | |
| 10 | 85 | |
| 11 | 81 |
About Anne-Marie Schuller
Anne-Marie Schuller is a scholar working on Statistics and Probability, Cognitive Neuroscience and Developmental and Educational Psychology, having authored 11 papers that have together received 436 indexed citations. Recurring topics across this work include Face Recognition and Perception (5 papers), Visual perception and processing mechanisms (4 papers) and Cognitive and developmental aspects of mathematical skills (4 papers). The work is most often cited by research in Cognitive Neuroscience (366 citations), Statistics and Probability (71 citations) and Developmental and Educational Psychology (81 citations). Anne-Marie Schuller has collaborated with scholars based in Belgium, Luxembourg and France. Frequent co-authors include Bruno Rossion, Valérie Goffaux, Boutheina Jemel, Marc Crommelinck, Raymond Bruyer, Magali Perquin, Marie‐Lise Lair, Michel Vaillant, Nico J. Diederich and Jean‐François Dartigues. Their work appears in journals such as PLoS ONE, Neuropsychologia and Journal of Cognitive Neuroscience.
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.