Maud Besançon

28 papers and 682 indexed citations i.

About

Maud Besançon is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Developmental and Educational Psychology. According to data from OpenAlex, Maud Besançon has authored 28 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Experimental and Cognitive Psychology, 10 papers in Cognitive Neuroscience and 5 papers in Developmental and Educational Psychology. Recurrent topics in Maud Besançon’s work include Creativity in Education and Neuroscience (21 papers), Neuroscience, Education and Cognitive Function (9 papers) and Education, Achievement, and Giftedness (8 papers). Maud Besançon is often cited by papers focused on Creativity in Education and Neuroscience (21 papers), Neuroscience, Education and Cognitive Function (9 papers) and Education, Achievement, and Giftedness (8 papers). Maud Besançon collaborates with scholars based in France, United States and Italy. Maud Besançon's co-authors include Todd Lubart, Baptiste Barbot, Franck Zenasni, Fabien Fenouillet, Rébecca Shankland, Corentin Gonthier, Jacques Grégoire, Thalia R. Goldstein, Jacques‐Henri Guignard and Giovanni Emanuele Corazza and has published in prestigious journals such as Frontiers in Psychology, Intelligence and Learning and Individual Differences.

In The Last Decade

Co-authorship network of co-authors of Maud Besançon i

Fields of papers citing papers by Maud Besançon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maud Besançon

Since Specialization
Citations

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

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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2025