Xavier Tricoche

55 papers receiving 1.4k citations

Peers

Xavier Tricoche
Comparison fields: 5 of 95
  • Computer Graphics and Computer-Aided Design 611
  • Computer Vision and Pattern Recognition 511
  • Computational Mechanics 438
  • Radiology, Nuclear Medicine and Imaging 251
  • Cognitive Neuroscience 220
Replace Nir Sochen with:
Nir Sochen Israel
Won‐Ki Jeong South Korea
Miquel Feixas Spain
Meirav Galun Israel
Luc Florack Netherlands
Li Xiao China
Renaud Keriven France
Pierre Kornprobst France
Xavier Bresson Switzerland
Rongjie Lai United States
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Citations per field
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Citations per year

Countries citing papers authored by Xavier Tricoche

Since Specialization
Citations

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

Fields of papers citing papers by Xavier Tricoche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xavier Tricoche

This figure shows the co-authorship network connecting the top 25 collaborators of Xavier Tricoche. A scholar is included among the top collaborators of Xavier Tricoche 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 Xavier Tricoche. Xavier Tricoche is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 18
3 14
4 1
5
Implicit and dynamic trees for high performance rendering
1
6 14
7 20
8 9
9 5
10
On the Role of Domain-specific Knowledge in the Visualization of Technical Flows.
2
11 21
12 58
13 37
14 40
15 131
16 22
17 317
18
An Efficient Point Location Method for Visualization in Large Unstructured Grids.
12
19 62
20 15

About Xavier Tricoche

Xavier Tricoche is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mathematics and Computer Vision and Pattern Recognition, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (35 papers), Advanced Vision and Imaging (15 papers) and Fluid Dynamics and Turbulent Flows (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (611 citations), Computational Mathematics (30 citations) and Computer Vision and Pattern Recognition (511 citations). Xavier Tricoche has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Gerik Scheuermann, Christoph Garth, Hans Hagen, Carsten H. Wolters, Alfred Anwander, Martin Koch, Rob MacLeod, David M. Weinstein, Gordon Kindlmann and Hans Hagen. Their work appears in journals such as NeuroImage, Journal of Computational Physics and Physica D Nonlinear Phenomena.

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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