2026 Laurent Najman: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	41	8624	8379	200	195	249	11973

Overview

Laurent Najman is affiliated with Université Gustave Eiffel in France and has a research focus primarily within computer science. Their scholarly output emphasizes topics concerning computer vision and pattern recognition, with significant contributions also in artificial intelligence, computational theory and mathematics, molecular biology, and signal processing.

The scientist's work spans several key research areas, including:

Topological and Geometric Data Analysis
Advanced Image and Video Retrieval Techniques
Digital Image Processing Techniques
Medical Image Segmentation Techniques
Explainable Artificial Intelligence (XAI)
Advanced Neural Network Applications
Machine Learning and Data Classification

Laurent Najman has frequently published in various venues such as:

arXiv (Cornell University)
Journal of Mathematical Imaging and Vision
SSRN Electronic Journal
Pattern Recognition
Pattern Recognition Letters

Several recent papers illustrate the range and scope of their research. These include:

"Myocardial Perfusion Simulation for Coronary Artery Disease: A Coupled Patient-Specific Multiscale Model" (2020), published in Annals of Biomedical Engineering
"On the duality between contrastive and non-contrastive self-supervised learning" (2022), published in arXiv (Cornell University)
"Power Spectral Clustering" (2020), published in Journal of Mathematical Imaging and Vision
"Iterated Watersheds, A Connected Variation of K-Means for Clustering GIS Data" (2020), published in IEEE Transactions on Emerging Topics in Computing
"Rethinking interactive image segmentation: Feature space annotation" (2022), published in Pattern Recognition

Collaborations form a substantive part of Laurent Najman's research activities. Frequent co-authors include:

Nicolas Boutry
Quentin Garrido
Thierry Géraud
Gilles Bertrand
Caroline Mazini Rodrigues

Best Publications

Learning Hierarchical Features for Scene Labeling

C. Farabet;C. Couprie;L. Najman;Y. LeCun

3404
Citations
Geodesic saliency of watershed contours and hierarchical segmentation

L. Najman;M. Schmitt

700
Citations
Indoor Semantic Segmentation using depth information

Camille Couprie;Clément Farabet;Clément Farabet;Laurent Najman;Yann LeCun

490
Citations
Watershed Cuts: Minimum Spanning Forests and the Drop of Water Principle

J. Cousty;G. Bertrand;L. Najman;M. Couprie

407
Citations
Power Watershed: A Unifying Graph-Based Optimization Framework

C Couprie;L Grady;L Najman;H Talbot

396
Citations
Watershed of a continuous function

Laurent Najman;Michel Schmitt

387
Citations
Mathematical Morphology: from theory to applications

Laurent Najman;Hugues Talbot

377
Citations
Multi-Histogram Equalization Methods for Contrast Enhancement and Brightness Preserving

D. Menotti;L. Najman;J. Facon;A.A. de Araujo

377
Citations
Building the Component Tree in Quasi-Linear Time

L. Najman;M. Couprie

304
Citations
A complete processing chain for ship detection using optical satellite imagery

Christina Corbane;Laurent Najman;Emilien Pecoul;Laurent Demagistri

245
Citations
Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography.

Hortense Kirişli;M. Schaap;C. T. Metz;A. S. Dharampal

235
Citations
Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers

Clement Farabet;Clement Farabet;Camille Couprie;Laurent Najman;Yann Lecun

217
Citations
Watershed Cuts: Thinnings, Shortest Path Forests, and Topological Watersheds

J. Cousty;G. Bertrand;L. Najman;M. Couprie

213
Citations
Power watersheds: A new image segmentation framework extending graph cuts, random walker and optimal spanning forest

Camille Couprie;Leo Grady;Laurent Najman;Hugues Talbot

189
Citations
From crowd simulation to airbag deployment: particle systems, a new paradigm of simulation

Eric Bouvier;Eyal Cohen;Laurent Najman

187
Citations
A quasi-linear algorithm to compute the tree of shapes of n-D images

Thierry Géraud;Thierry Géraud;Edwin Carlinet;Edwin Carlinet;Sébastien Crozet;Laurent Najman

133
Citations
Segmentation of 4D cardiac MRI: Automated method based on spatio-temporal watershed cuts

J. Cousty;L. Najman;M. Couprie;S. Clément-Guinaudeau

123
Citations
Quasi-Linear Algorithms for the Topological Watershed

Michel Couprie;Laurent Najman;Gilles Bertrand

118
Citations
Playing with Kruskal: Algorithms for Morphological Trees in Edge-Weighted Graphs

Laurent Najman;Jean Cousty;Benjamin Perret

94
Citations
VOIDD: automatic vessel of intervention dynamic detection in PCI procedures

Ketan Bacchuwar;Jean Cousty;Régis Vaillant;Laurent Najman

91
Citations
On the Equivalence Between Hierarchical Segmentations and Ultrametric Watersheds

Laurent Najman

87
Citations
Indoor semantic segmentation using depth information: 1st International Conference on Learning Representations, ICLR 2013

Camille Couprie;Clément Farabet;Clément Farabet;Laurent Najman;Yann LeCun

2
Citations

Frequent Co-Authors

Hugues Talbot University of Paris-Saclay

Leo Grady Paige

Yann LeCun Facebook (United States)

Jean Serra Mines ParisTech

Jean-Christophe Pesquet CentraleSupélec

Pierre Soille Joint Research Centre

Wiro J. Niessen Erasmus University Rotterdam

Alexandre X. Falcão State University of Campinas

Jon Atli Benediktsson University of Iceland

Petros Maragos National Technical University of Athens

External Links

Personal website of Laurent Najman Google Scholar page

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