Philippe Vincent‐Lamarre

42 total papers · 533 total citations
14 papers, 187 citations indexed

About

Philippe Vincent‐Lamarre is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Philippe Vincent‐Lamarre has authored 14 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 5 papers in Artificial Intelligence and 5 papers in Statistics, Probability and Uncertainty. Recurrent topics in Philippe Vincent‐Lamarre's work include scientometrics and bibliometrics research (5 papers), Neural dynamics and brain function (4 papers) and Advanced Memory and Neural Computing (3 papers). Philippe Vincent‐Lamarre is often cited by papers focused on scientometrics and bibliometrics research (5 papers), Neural dynamics and brain function (4 papers) and Advanced Memory and Neural Computing (3 papers). Philippe Vincent‐Lamarre collaborates with scholars based in Canada, United States and United Kingdom. Philippe Vincent‐Lamarre's co-authors include Vincent Larivière, Béatrice Pudelko, Bernard Charlin, Meredith Young, Cassidy R. Sugimoto, Kyle Siler, Stevan Harnad, Jean‐Philippe Thivierge, Yassine Gargouri and Guillaume Lajoie and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Philippe Vincent‐Lamarre

12 papers receiving 176 citations

Author Peers

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

Author Last Decade Papers Cites
Philippe Vincent‐Lamarre 47 35 35 34 30 14 187
Priya Silverstein 36 0.8× 27 0.8× 17 0.5× 5 0.1× 14 0.5× 15 134
Julia G. Bottesini 67 1.4× 17 0.5× 4 0.1× 17 0.5× 21 0.7× 9 197
Saurabh Khanna 25 0.5× 8 0.2× 77 2.2× 16 0.5× 15 0.5× 13 216
Kristina Wiebels 9 0.2× 70 2.0× 5 0.1× 12 0.4× 29 1.0× 14 182
Christopher W. Lynn 23 0.5× 94 2.7× 4 0.1× 17 0.5× 5 0.2× 19 206
Judith Swan 15 0.3× 5 0.1× 38 1.1× 26 0.8× 9 0.3× 10 211
Mitchell Robinson 14 0.3× 43 1.2× 109 3.1× 7 0.2× 5 0.2× 15 203
Claire Ross 8 0.2× 13 0.4× 38 1.1× 16 0.5× 11 0.4× 14 238
Jennifer L Beaudry 13 0.3× 124 3.5× 3 0.1× 21 0.6× 12 0.4× 26 212
Joumana Boustany 6 0.1× 5 0.1× 46 1.3× 9 0.3× 47 1.6× 19 201

Countries citing papers authored by Philippe Vincent‐Lamarre

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Vincent‐Lamarre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philippe Vincent‐Lamarre. 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 Philippe Vincent‐Lamarre. The network helps show where Philippe Vincent‐Lamarre may publish in the future.

Co-authorship network of co-authors of Philippe Vincent‐Lamarre

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Vincent‐Lamarre. A scholar is included among the top collaborators of Philippe Vincent‐Lamarre 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 Philippe Vincent‐Lamarre. Philippe Vincent‐Lamarre 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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