Marylène Chalard

1.1k total citations
9 papers, 866 citations indexed

About

Marylène Chalard is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, Marylène Chalard has authored 9 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 7 papers in Developmental and Educational Psychology and 2 papers in Artificial Intelligence. Recurrent topics in Marylène Chalard's work include Neurobiology of Language and Bilingualism (7 papers), Reading and Literacy Development (5 papers) and Language Development and Disorders (3 papers). Marylène Chalard is often cited by papers focused on Neurobiology of Language and Bilingualism (7 papers), Reading and Literacy Development (5 papers) and Language Development and Disorders (3 papers). Marylène Chalard collaborates with scholars based in France and United Kingdom. Marylène Chalard's co-authors include Patrick Bonin, Alain Méot, Michel Fayol, Ronald Peereman, Nathalie Malardier and Christopher T. Barry and has published in prestigious journals such as Journal of Memory and Language, Memory & Cognition and British Journal of Psychology.

In The Last Decade

Marylène Chalard

9 papers receiving 834 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marylène Chalard France 9 749 631 259 76 48 9 866
Gretchen Kambe United States 9 374 0.5× 376 0.6× 209 0.8× 123 1.6× 36 0.8× 10 587
Peter A. Starreveld Netherlands 15 860 1.1× 653 1.0× 264 1.0× 68 0.9× 99 2.1× 20 919
Cécile Beauvillain France 13 649 0.9× 537 0.9× 205 0.8× 73 1.0× 107 2.2× 22 798
Elizabeth L. Stine United States 10 457 0.6× 356 0.6× 156 0.6× 101 1.3× 30 0.6× 12 590
Kristof Strijkers France 17 1.1k 1.4× 749 1.2× 271 1.0× 60 0.8× 68 1.4× 36 1.2k
Umberta Bortolini United States 12 615 0.8× 917 1.5× 237 0.9× 78 1.0× 65 1.4× 12 1.0k
Eva Belke Germany 14 762 1.0× 536 0.8× 310 1.2× 138 1.8× 53 1.1× 24 933
José E. García‐Albea Spain 15 600 0.8× 532 0.8× 350 1.4× 148 1.9× 178 3.7× 41 865
Lesya Y. Ganushchak Netherlands 13 474 0.6× 288 0.5× 157 0.6× 41 0.5× 55 1.1× 34 595
Dianne Bradley Australia 10 394 0.5× 339 0.5× 191 0.7× 68 0.9× 63 1.3× 15 539

Countries citing papers authored by Marylène Chalard

Since Specialization
Citations

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

Fields of papers citing papers by Marylène Chalard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marylène Chalard

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

All Works

9 of 9 papers shown
1.
Bonin, Patrick, Marylène Chalard, Alain Méot, & Christopher T. Barry. (2006). Are age-of-acquisition effects on object naming due simply to differences in object recognition? Comments on Levelt (2002). Memory & Cognition. 34(5). 1172–1182. 19 indexed citations
2.
Chalard, Marylène & Patrick Bonin. (2006). Age-of-acquisition effects in picture naming: Are they structural and/or semantic in nature?. Visual Cognition. 13(7-8). 864–883. 23 indexed citations
3.
Bonin, Patrick, Christopher T. Barry, Alain Méot, & Marylène Chalard. (2004). The influence of age of acquisition in word reading and other tasks: A never ending story?. Journal of Memory and Language. 50(4). 456–476. 147 indexed citations
4.
Bonin, Patrick, Ronald Peereman, Nathalie Malardier, Alain Méot, & Marylène Chalard. (2003). A new set of 299 pictures for psycholinguistic studies: French norms for name agreement, image agreement, conceptual familiarity, visual complexity, image variability, age of acquisition, and naming latencies. Behavior Research Methods, Instruments, & Computers. 35(1). 158–167. 273 indexed citations
6.
Bonin, Patrick, Marylène Chalard, Alain Méot, & Michel Fayol. (2002). The determinants of spoken and written picture naming latencies. British Journal of Psychology. 93(1). 89–114. 159 indexed citations
7.
Bonin, Patrick, Marylène Chalard, Alain Méot, & Michel Fayol. (2001). Age-of-acquisition and word frequency in the lexical decision task: Further evidence from the French language.. 20(6). 401–443. 30 indexed citations
8.
Bonin, Patrick, Michel Fayol, & Marylène Chalard. (2001). Age of acquisition and word frequency in written picture naming. The Quarterly Journal of Experimental Psychology Section A. 54(2). 469–489. 26 indexed citations
9.
Bonin, Patrick, Michel Fayol, & Marylène Chalard. (2001). Age of Acquisition and Word Frequency in Written Picture Naming. The Quarterly Journal of Experimental Psychology Section A. 54(2). 469–489. 87 indexed citations

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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