Valérie Simard

58 total papers · 1.2k total citations
40 papers, 810 citations indexed

About

Valérie Simard is a scholar working on Experimental and Cognitive Psychology, Clinical Psychology and Cognitive Neuroscience. According to data from OpenAlex, Valérie Simard has authored 40 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Experimental and Cognitive Psychology, 23 papers in Clinical Psychology and 16 papers in Cognitive Neuroscience. Recurrent topics in Valérie Simard's work include Sleep and related disorders (23 papers), Sleep and Wakefulness Research (15 papers) and Child and Adolescent Psychosocial and Emotional Development (8 papers). Valérie Simard is often cited by papers focused on Sleep and related disorders (23 papers), Sleep and Wakefulness Research (15 papers) and Child and Adolescent Psychosocial and Emotional Development (8 papers). Valérie Simard collaborates with scholars based in Canada. Valérie Simard's co-authors include Toré Nielsen, Annie Bernier, Julie Carrier, Marie‐Ève Bélanger, Richard E. Tremblay, Jacques Montplaisir, Michel Boivin, Katherine Pascuzzo, Ellen Moss and Jean Paquet and has published in prestigious journals such as SLEEP, Frontiers in Psychology and The Journal of Nervous and Mental Disease.

In The Last Decade

Valérie Simard

39 papers receiving 774 citations

Author Peers

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

Author Last Decade Papers Cites
Valérie Simard 484 328 308 133 103 40 810
Michal Kahn 649 1.3× 307 0.9× 282 0.9× 179 1.3× 183 1.8× 38 989
Jennifer Cousins 701 1.4× 410 1.3× 314 1.0× 167 1.3× 186 1.8× 31 1.0k
Angela D. Staples 335 0.7× 195 0.6× 316 1.0× 48 0.4× 225 2.2× 37 800
Stephanie Stadelmann 284 0.6× 195 0.6× 483 1.6× 64 0.5× 268 2.6× 38 928
Cara A. Palmer 700 1.4× 319 1.0× 354 1.1× 95 0.7× 145 1.4× 18 984
Melissa M. Burnham 388 0.8× 278 0.8× 350 1.1× 253 1.9× 178 1.7× 27 932
Klaus Bader 420 0.9× 145 0.4× 619 2.0× 65 0.5× 85 0.8× 44 1.0k
Lori Elmore‐Staton 333 0.7× 117 0.4× 290 0.9× 64 0.5× 172 1.7× 14 700
Monika Raniti 495 1.0× 261 0.8× 263 0.9× 73 0.5× 222 2.2× 23 811
Faith Orchard 465 1.0× 202 0.6× 485 1.6× 59 0.4× 148 1.4× 33 882

Countries citing papers authored by Valérie Simard

Since Specialization
Citations

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

Fields of papers citing papers by Valérie Simard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valérie Simard

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