R. Lengagne

1.0k total citations · 1 hit paper
14 papers, 676 citations indexed

About

R. Lengagne is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, R. Lengagne has authored 14 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 5 papers in Computational Mechanics and 4 papers in Aerospace Engineering. Recurrent topics in R. Lengagne's work include Advanced Vision and Imaging (12 papers), Face recognition and analysis (5 papers) and 3D Shape Modeling and Analysis (5 papers). R. Lengagne is often cited by papers focused on Advanced Vision and Imaging (12 papers), Face recognition and analysis (5 papers) and 3D Shape Modeling and Analysis (5 papers). R. Lengagne collaborates with scholars based in France, Switzerland and United States. R. Lengagne's co-authors include Pascal Fua, François Fleuret, Jérôme Berclaz, Olivier Monga, Rachid Deriche, Jean‐Philippe Tarel and Songde Ma and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Image and Vision Computing and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

R. Lengagne

13 papers receiving 641 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Multicamera People Tracking with a Probabilistic Occupancy Map

2007 549 citations François Fleuret, Jérôme Berclaz et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers

Countries citing papers authored by R. Lengagne

Since Specialization

Citations

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

Fields of papers citing papers by R. Lengagne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Lengagne

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

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Multicamera People Tracking with a Probabilistic Occupancy Map breakdown → 2007 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·François Fleuret, Jérôme Berclaz, R. Lengagne, Pascal Fua	549
2	Fixed point probability field for complex occlusion handling 2005 ·Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·François Fleuret, R. Lengagne, Pascal Fua	18
3	Fixed Point Probability Field for Occlusion Handling 2004 ·Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·François Fleuret, R. Lengagne, Pascal Fua	1
4	Using differential constraints to reconstruct complex surfaces from stereo 2002 ·Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·R. Lengagne, Olivier Monga, Pascal Fua	7
5	3D face modeling from stereo and differential constraints 2002 ·R. Lengagne, Pascal Fua, Olivier Monga	22
6	Incorporating differential constraints in a 3D reconstruction process application to stereo 2002 ·Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·R. Lengagne, Pascal Fua	4
7	Using differential constraints to generate a 3D face model from stereo 2002 ·R. Lengagne, Pascal Fua, Olivier Monga	0
8	Using crest lines to guide surface reconstruction from stereo 2002 ·R. Lengagne, Olivier Monga, Pascal Fua	1
9	From 2D images to 3D face geometry 2002 ·R. Lengagne, Jean‐Philippe Tarel, Olivier Monga	15
10	Crest lines extraction in volume 3D medical images: a multi-scale approach 2002 ·Olivier Monga, R. Lengagne, Rachid Deriche	18
11	3--D Stereo Reconstruction of Human Faces driven by Differential Constraints Image and Vision Computing 2000 ·Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·R. Lengagne, Pascal Fua, Olivier Monga	19
12	3D stereo reconstruction of human faces driven by differential constraints 2000 ·Image and Vision Computing ·R. Lengagne, Pascal Fua, Olivier Monga	1
13	Using crest lines to guide surface reconstruction from stereo 1996 ·Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·R. Lengagne, Pascal Fua, Olivier Monga	20
14	A Multi-scale Approach for Crest Line Extraction in 3D Medical Images. 1994 ·Olivier Monga, R. Lengagne, Rachid Deriche, Songde Ma	1

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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