Manuel Gimenes

42 total papers · 485 total citations
18 papers, 264 citations indexed

About

Manuel Gimenes is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Manuel Gimenes has authored 18 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Developmental and Educational Psychology, 7 papers in Cognitive Neuroscience and 5 papers in Artificial Intelligence. Recurrent topics in Manuel Gimenes's work include Reading and Literacy Development (8 papers), Neurobiology of Language and Bilingualism (6 papers) and Text Readability and Simplification (3 papers). Manuel Gimenes is often cited by papers focused on Reading and Literacy Development (8 papers), Neurobiology of Language and Bilingualism (6 papers) and Text Readability and Simplification (3 papers). Manuel Gimenes collaborates with scholars based in France, United States and Belgium. Manuel Gimenes's co-authors include Boris New, François Rigalleau, Lucette Toussaint, Daniel Gaonac’h, Christel Bidet-Ildei, Anna Potocki, Pauline Quémart, Cyril Perret, David Chesnet and Arnaud Badets and has published in prestigious journals such as PLoS ONE, Journal of Experimental Psychology Learning Memory and Cognition and Journal of Experimental Child Psychology.

In The Last Decade

Manuel Gimenes

17 papers receiving 258 citations

Author Peers

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

Author Last Decade Papers Cites
Manuel Gimenes 149 110 62 56 43 18 264
Fiona Lyddy 162 1.1× 60 0.5× 40 0.6× 99 1.8× 43 1.0× 30 327
Igor Bascandziev 198 1.3× 85 0.8× 44 0.7× 108 1.9× 46 1.1× 18 298
Molly Lewis 195 1.3× 52 0.5× 80 1.3× 38 0.7× 33 0.8× 19 328
Igor E. Klyukanov 116 0.8× 61 0.6× 67 1.1× 34 0.6× 16 0.4× 20 227
Anja Gampe 213 1.4× 67 0.6× 45 0.7× 51 0.9× 97 2.3× 28 320
Maryse Bianco 158 1.1× 45 0.4× 104 1.7× 111 2.0× 26 0.6× 24 310
Edwin G. Aiken 143 1.0× 93 0.8× 95 1.5× 67 1.2× 46 1.1× 20 321
Su‐hua Wang 193 1.3× 52 0.5× 37 0.6× 83 1.5× 60 1.4× 34 303
Man‐Tak Leung 190 1.3× 96 0.9× 58 0.9× 93 1.7× 22 0.5× 28 287
Kayla Morehead 181 1.2× 77 0.7× 122 2.0× 159 2.8× 32 0.7× 9 320

Countries citing papers authored by Manuel Gimenes

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Gimenes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Gimenes

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Gimenes. A scholar is included among the top collaborators of Manuel Gimenes 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 Manuel Gimenes. Manuel Gimenes 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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