Jean‐François Lapointe

67 total papers · 685 total citations
44 papers, 455 citations indexed

About

Jean‐François Lapointe is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Jean‐François Lapointe has authored 44 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Human-Computer Interaction, 12 papers in Computer Vision and Pattern Recognition and 6 papers in Molecular Biology. Recurrent topics in Jean‐François Lapointe's work include Virtual Reality Applications and Impacts (8 papers), Augmented Reality Applications (7 papers) and Interactive and Immersive Displays (6 papers). Jean‐François Lapointe is often cited by papers focused on Virtual Reality Applications and Impacts (8 papers), Augmented Reality Applications (7 papers) and Interactive and Immersive Displays (6 papers). Jean‐François Lapointe collaborates with scholars based in Canada, United States and Germany. Jean‐François Lapointe's co-authors include Yves Pouliot, Sylvie F. Gauthier, Christian Bouchard, Norman G. Vinson, Jean‐Marc Robert, Pierre Lemieux, Mohand Saïd Allili, Claude Bouchard, Sylvain Gauthier and Guy Godin and has published in prestigious journals such as Journal of Membrane Science, Computers in Human Behavior and Journal of Dairy Science.

In The Last Decade

Jean‐François Lapointe

39 papers receiving 416 citations

Author Peers

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

Author Last Decade Papers Cites
Jean‐François Lapointe 124 89 64 62 60 44 455
Feng Xiao 74 0.6× 10 0.1× 53 0.8× 22 0.4× 43 0.7× 67 489
John Reidar Mathiassen 66 0.5× 3 0.0× 34 0.5× 128 2.1× 105 1.8× 24 500
Kyong-Ho Kim 14 0.1× 63 0.7× 73 1.1× 6 0.1× 15 0.3× 112 533
Xinyi Huang 23 0.2× 81 0.9× 86 1.3× 28 0.5× 35 0.6× 30 434
Leilei Pan 54 0.4× 58 0.7× 7 0.1× 20 0.3× 120 2.0× 36 506
Hanwei Liu 95 0.8× 14 0.2× 100 1.6× 9 0.1× 53 0.9× 38 478
Lean Karlo S. Tolentino 12 0.1× 86 1.0× 43 0.7× 98 1.6× 71 1.2× 66 448
Hong Wang 35 0.3× 31 0.3× 28 0.4× 7 0.1× 111 1.9× 47 422
Mingzhou Lu 31 0.3× 26 0.3× 46 0.7× 27 0.4× 75 1.3× 31 454
M. Manjunatha 26 0.2× 69 0.8× 78 1.2× 4 0.1× 108 1.8× 44 489

Countries citing papers authored by Jean‐François Lapointe

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐François Lapointe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐François Lapointe. 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 Jean‐François Lapointe. The network helps show where Jean‐François Lapointe may publish in the future.

Co-authorship network of co-authors of Jean‐François Lapointe

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐François Lapointe. A scholar is included among the top collaborators of Jean‐François Lapointe 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 Jean‐François Lapointe. Jean‐François Lapointe 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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