Patrick Labatut

2.5k citations
11 papers · 817 indexed · 1 hit paper · h-index 8

Impact in

Papers in

Patrick Labatut

11 papers receiving 782 citations

Hit Papers

Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction 2021 · 183 citations
1830+1+3Years since publication50100150

Peers

Patrick Labatut
Comparison fields: 5 of 64
  • Computer Graphics and Computer-Aided Design 262
  • Geology 314
  • Computer Vision and Pattern Recognition 581
  • Environmental Engineering 186
  • Aerospace Engineering 255
Replace Wentao Yuan with:
Wentao Yuan United States
Minh-Khoi Tran Singapore
Philipp Jenke Germany
Qiangeng Xu United States
Yan‐Pei Cao China
Shi-Sheng Huang China
Fangzhou Hong Singapore
Paul Guerrero United States
Shenman Zhang China
Xianzhi Li China
Patrick Labatut relative to Wentao Yuan United States Wentao Yuan's profile →
Citations per field
00.5×2.7×
Wentao Yuan · 1×
Citations per year

Countries citing papers authored by Patrick Labatut

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Labatut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Patrick Labatut, 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 Patrick Labatut Line = papers co-authored together Patrick Labatut links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2011197
2
Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction
Hit paper breakdown →
2021183
3 2009165
4 2007126
5 2009104
6
Towards high-resolution large-scale multi-view stereo
200913
7 200612
8 202111
9 20213
10 20202
11 20251

About Patrick Labatut

Patrick Labatut is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Aerospace Engineering, Computer Graphics and Computer-Aided Design and Geology, having authored 11 papers that have together received 817 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (7 papers), 3D Shape Modeling and Analysis (4 papers), Robotics and Sensor-Based Localization (4 papers), Image Enhancement Techniques (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Advanced Image Processing Techniques (2 papers), Human Pose and Action Recognition (2 papers) and Computer Graphics and Visualization Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (262 citations), Geology (314 citations), Computer Vision and Pattern Recognition (581 citations), Environmental Engineering (186 citations) and Aerospace Engineering (255 citations). Patrick Labatut has collaborated with scholars based in France, Israel and United Kingdom. Frequent co-authors include Renaud Keriven, Jean-Philippe Pons, David Novotný, L. Sbordone, Роман Шаповалов, Jeremy Reizenstein, Philipp Henzler, Andrea Vedaldi, Natalia Neverova and Artsiom Sanakoyeu. Their work appears in journals such as Computer Graphics Forum, IEEE Transactions on Pattern Analysis and Machine Intelligence, Oxford University Research Archive (ORA) (University of Oxford), arXiv (Cornell University) and HAL (Le Centre pour la Communication Scientifique Directe).

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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