J.‐M. Dischler

26 total papers · 430 total citations
23 papers, 281 citations indexed

About

J.‐M. Dischler is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, J.‐M. Dischler has authored 23 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Graphics and Computer-Aided Design, 17 papers in Computational Mechanics and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in J.‐M. Dischler's work include Computer Graphics and Visualization Techniques (20 papers), 3D Shape Modeling and Analysis (17 papers) and Advanced Vision and Imaging (6 papers). J.‐M. Dischler is often cited by papers focused on Computer Graphics and Visualization Techniques (20 papers), 3D Shape Modeling and Analysis (17 papers) and Advanced Vision and Imaging (6 papers). J.‐M. Dischler collaborates with scholars based in France, Germany and Portugal. J.‐M. Dischler's co-authors include Djamchid Ghazanfarpour, Stéphane Mérillou, Bruno Lévy, Daniel Ruivo Marques, Ana Allen Gomes, Éric Galin, Bedřich Beneš, Carsten Dachsbacher, H. Seidel and Wolfgang Heidrich and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Sleep Medicine and Computer Graphics Forum.

In The Last Decade

J.‐M. Dischler

23 papers receiving 265 citations

Author Peers

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

Author Last Decade Papers Cites
J.‐M. Dischler 228 164 156 13 11 23 281
George Borshukov 148 0.6× 166 1.0× 210 1.3× 5 0.4× 48 4.4× 15 291
Brent Burley 273 1.2× 192 1.2× 222 1.4× 9 0.8× 20 313
Jean‐Michel Dischler 263 1.2× 188 1.1× 199 1.3× 25 2.3× 31 315
Jean‐Marc Hasenfratz 207 0.9× 87 0.5× 202 1.3× 11 1.0× 13 260
Valentin Deschaintre 173 0.8× 73 0.4× 203 1.3× 2 0.2× 1 0.1× 15 249
Carol Hunter 117 0.5× 89 0.5× 107 0.7× 1 0.1× 4 0.4× 21 305
Jonathan Dupuy 271 1.2× 192 1.2× 232 1.5× 4 0.4× 12 330
Yuewen Ma 151 0.7× 119 0.7× 168 1.1× 14 1.3× 15 232
Norman Müller 70 0.3× 64 0.4× 105 0.7× 4 0.4× 34 185
Jens Ackermann 143 0.6× 51 0.3× 233 1.5× 3 0.3× 13 292

Countries citing papers authored by J.‐M. Dischler

Since Specialization
Citations

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

Fields of papers citing papers by J.‐M. Dischler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.‐M. Dischler. 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 J.‐M. Dischler. The network helps show where J.‐M. Dischler may publish in the future.

Co-authorship network of co-authors of J.‐M. Dischler

This figure shows the co-authorship network connecting the top 25 collaborators of J.‐M. Dischler. A scholar is included among the top collaborators of J.‐M. Dischler 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 J.‐M. Dischler. J.‐M. Dischler 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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