Pascal Barla

1.6k citations
54 papers · 1.2k · h-index 20

Impact in

Papers in

Pascal Barla

50 papers receiving 1.1k citations

Peers

Pascal Barla
Comparison fields: 5 of 71
  • Computer Graphics and Computer-Aided Design 779
  • Computer Vision and Pattern Recognition 738
  • Computational Mechanics 566
  • Geology 100
  • Space and Planetary Science 23
Replace Xavier Granier with:
Xavier Granier France
Brian Smits United States
Chris Tchou United States
Alexander Wilkie Czechia
Warren Waggenspack United States
Sai Bi United States
Eric P. Lafortune United States
Haarm-Pieter Duiker United States
Stephen H. Westin United States
Joëlle Thollot France
Pascal Barla relative to Xavier Granier France Xavier Granier's profile →
Citations per field
00.5×1.5×2.5×
Xavier Granier · 1×
Citations per year

Countries citing papers authored by Pascal Barla

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Barla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pascal Barla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pascal Barla Line = papers co-authored together Pascal Barla links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008199
2 200778
3 201066
4 200660
5 200655
6 201753
7 201849
8 200545
9 201638
10 200935
11 201334
12 200833
13 200833
14 200930
15 201226
16 201326
17 200725
18 201925
19 201224
20 200822

About Pascal Barla

Pascal Barla is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Control and Systems Engineering, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (44 papers), 3D Shape Modeling and Analysis (30 papers), Advanced Vision and Imaging (27 papers), Advanced Numerical Analysis Techniques (8 papers), Visual perception and processing mechanisms (7 papers), Human Motion and Animation (6 papers), Color Science and Applications (3 papers) and Computational Geometry and Mesh Generation (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (779 citations), Computer Vision and Pattern Recognition (738 citations), Computational Mechanics (566 citations), Geology (100 citations) and Space and Planetary Science (23 citations). Pascal Barla has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Joëlle Thollot, Adrien Bousseau, Alexandrina Orzan, Xavier Granier, Holger Winnemöller, David Salesin, Lee Markosian, Romain Vergne, Christophe Schlick and Romain Pacanowski. Their work appears in journals such as Computer Graphics Forum, ACM Transactions on Graphics, Journal of Vision, IEEE Transactions on Visualization and Computer Graphics and Nature Human Behaviour.

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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