Fabian Guenolé

111 total papers · 969 total citations
54 papers, 569 citations indexed

About

Fabian Guenolé is a scholar working on Cognitive Neuroscience, Clinical Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Fabian Guenolé has authored 54 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 18 papers in Clinical Psychology and 13 papers in Experimental and Cognitive Psychology. Recurrent topics in Fabian Guenolé's work include Autism Spectrum Disorder Research (12 papers), Child and Adolescent Psychosocial and Emotional Development (10 papers) and Sleep and related disorders (9 papers). Fabian Guenolé is often cited by papers focused on Autism Spectrum Disorder Research (12 papers), Child and Adolescent Psychosocial and Emotional Development (10 papers) and Sleep and related disorders (9 papers). Fabian Guenolé collaborates with scholars based in France, United Kingdom and Canada. Fabian Guenolé's co-authors include Jean‐Marc Baleyte, Francis Eustache, Bérengère Guillery‐Girard, Roger Godbout, Priscille Gérardin, Olivier Revol, J. Louis, Pierre Fourneret, Patricia Franco and Armelle Viard and has published in prestigious journals such as Psychological Bulletin, The Journal of Pediatrics and Human Brain Mapping.

In The Last Decade

Fabian Guenolé

47 papers receiving 560 citations

Author Peers

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

Author						Papers	Cites
Fabian Guenolé	318	173	150	127	71	54	569
Jean‐Marc Baleyte	355 1.1×	120 0.7×	207 1.4×	178 1.4×	84 1.2×	45	653
M. Bouvard	228 0.7×	105 0.6×	145 1.0×	185 1.5×	36 0.5×	42	612
Rowena Ng	225 0.7×	107 0.6×	178 1.2×	127 1.0×	58 0.8×	77	680
Jean‐Luc Roulin	222 0.7×	152 0.9×	112 0.7×	153 1.2×	36 0.5×	45	647
Dominika Dykiert	212 0.7×	186 1.1×	68 0.5×	175 1.4×	87 1.2×	23	697
Ayşe Kılınçaslan	233 0.7×	93 0.5×	272 1.8×	194 1.5×	56 0.8×	30	641
Jung-Woo Son	183 0.6×	103 0.6×	194 1.3×	164 1.3×	57 0.8×	51	621
Jae Hyun Yoo	199 0.6×	66 0.4×	170 1.1×	198 1.6×	55 0.8×	41	569
Marika C. Coffman	409 1.3×	139 0.8×	257 1.7×	110 0.9×	50 0.7×	30	543
Andrea Trubanova Wieckowski	441 1.4×	102 0.6×	304 2.0×	100 0.8×	93 1.3×	32	564

Countries citing papers authored by Fabian Guenolé

Since Specialization

Citations

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

Fields of papers citing papers by Fabian Guenolé

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabian Guenolé

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