Maud Boyer

10 total papers · 1.0k total citations
4 papers, 686 citations indexed

About

Maud Boyer is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Social Psychology. According to data from OpenAlex, Maud Boyer has authored 4 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 3 papers in Developmental and Educational Psychology and 1 paper in Social Psychology. Recurrent topics in Maud Boyer's work include Child and Animal Learning Development (2 papers), Neuroscience and Music Perception (2 papers) and Speech and dialogue systems (1 paper). Maud Boyer is often cited by papers focused on Child and Animal Learning Development (2 papers), Neuroscience and Music Perception (2 papers) and Speech and dialogue systems (1 paper). Maud Boyer collaborates with scholars based in Belgium, France and Canada. Maud Boyer's co-authors include Axel Cleeremans, Arnaud Destrebecqz, Régine Kolinsky, Sylvain Moreno, Mireille Besson, Isabelle Peretz, Daniele Schön, Arnaud Destrebecqz, Pierre Perruchet and Emmanuel Bigand and has published in prestigious journals such as Trends in Cognitive Sciences, Cognition and Psychological Research.

In The Last Decade

Maud Boyer

4 papers receiving 626 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Maud Boyer	480	321	136	135	76	4	686
C. T. Morgan	368 0.8×	182 0.6×	120 0.9×	117 0.9×	58 0.8×	5	609
David Winzenz	333 0.7×	297 0.9×	83 0.6×	253 1.9×	176 2.3×	5	699
Dieuwke De Goede	286 0.6×	179 0.6×	111 0.8×	178 1.3×	61 0.8×	8	606
Steson Lo	513 1.1×	335 1.0×	86 0.6×	210 1.6×	79 1.0×	4	782
J. Scott Kelso	490 1.0×	208 0.6×	152 1.1×	210 1.6×	82 1.1×	8	741
Chantal Pacteau	362 0.8×	410 1.3×	132 1.0×	123 0.9×	143 1.9×	12	639
Peter Lovatt	305 0.6×	215 0.7×	97 0.7×	164 1.2×	38 0.5×	16	641
Christine Moon	224 0.5×	468 1.5×	60 0.4×	237 1.8×	32 0.4×	15	741
Gary L. Dannenbring	604 1.3×	244 0.8×	56 0.4×	214 1.6×	51 0.7×	16	732
Arthur L. Irion	358 0.7×	249 0.8×	104 0.8×	182 1.3×	99 1.3×	15	763

Countries citing papers authored by Maud Boyer

Since Specialization

Citations

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

Fields of papers citing papers by Maud Boyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maud Boyer

This figure shows the co-authorship network connecting the top 25 collaborators of Maud Boyer. A scholar is included among the top collaborators of Maud Boyer 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 Maud Boyer. Maud Boyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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