Jacques Poitevineau

67 total papers · 603 total citations
25 papers, 344 citations indexed

About

Jacques Poitevineau is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition and Music. According to data from OpenAlex, Jacques Poitevineau has authored 25 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Music. Recurrent topics in Jacques Poitevineau's work include Advanced Statistical Methods and Models (6 papers), Statistics Education and Methodologies (5 papers) and Neuroscience and Music Perception (3 papers). Jacques Poitevineau is often cited by papers focused on Advanced Statistical Methods and Models (6 papers), Statistics Education and Methodologies (5 papers) and Neuroscience and Music Perception (3 papers). Jacques Poitevineau collaborates with scholars based in France, United States and Canada. Jacques Poitevineau's co-authors include Bruno Lecoutre, Marie‐Paule Lecoutre, Claudia Fritz, Palmer Morrel‐Samuels, Georges Olivier, Tao Jiang, Stephen McAdams, Gilles Sicard, Sylvie Issanchou and Catherine Rouby and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of the Acoustical Society of America.

In The Last Decade

Jacques Poitevineau

24 papers receiving 306 citations

Author Peers

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

Author Last Decade Papers Cites
Jacques Poitevineau 92 76 59 58 45 25 344
Daniel Vogel 106 1.2× 19 0.3× 35 0.6× 19 0.3× 9 0.2× 33 305
Robert F. Fagot 55 0.6× 18 0.2× 113 1.9× 36 0.6× 70 1.6× 27 346
Thomas E. Whalen 49 0.5× 35 0.5× 37 0.6× 38 0.7× 51 1.1× 25 385
Jae Keun Yoo 121 1.3× 23 0.3× 83 1.4× 9 0.2× 16 0.4× 57 335
David Green 19 0.2× 29 0.4× 21 0.4× 28 0.5× 14 0.3× 23 353
Frank R. Clarke 20 0.2× 5 0.1× 148 2.5× 9 0.2× 82 1.8× 16 343
Chad L. Stephens 9 0.1× 10 0.1× 119 2.0× 32 0.6× 99 2.2× 36 390
Raymond H. Hohle 43 0.5× 6 0.1× 226 3.8× 8 0.1× 105 2.3× 11 349
Cynthia H. Null 4 0.0× 73 1.0× 91 1.5× 12 0.2× 51 1.1× 43 348
Dennis Young 101 1.1× 16 0.2× 11 0.2× 57 1.0× 7 0.2× 30 335

Countries citing papers authored by Jacques Poitevineau

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Poitevineau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacques Poitevineau

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