Stéphane Lafon

7.9k citations

13 papers · 5.1k indexed · 5 hit papers · h-index 12

Impact in

Computer Vision and Pattern Recognition top 0.5%
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
Computer Graphics and Computer-Aided Design top 1%

Papers in

Computational Theory and Mathematics 5
- Topological and Geometric Data Analysis 4
Signal Processing 3
- Blind Source Separation Techniques 2

Co-authors: Ronald R. Coifman Boaz Nadler Ioannis G. Kevrekidis Mauro Maggioni Steven W. Zucker Frederick Warner Yosi Keller Daniel Filip
Journals: Applied and Computational Harmonic Analysis (3 papers)Proceedings of the National Academy of Sciences (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Multiscale Modeling and Simulation (1 paper)IEEE Transactions on Signal Processing (1 paper)
Partner nations: United States Israel

In The Last Decade

Stéphane Lafon

13 papers receiving 4.8k citations

Hit Papers

5 papers align trajectories log scale

Google Street View: Capturing the World at Street Level 2010 · 531 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2010 Computer
2006 IEEE Transactions on Pattern Analysis and Machine Intelligence
2006 Applied and Computational Harmonic Analysis
2006 Applied and Computational Harmonic Analysis
2005 Proceedings of the National Academy of Sciences

Peers

Countries citing papers authored by Stéphane Lafon

Since Specialization

Citations

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

Fields of papers citing papers by Stéphane Lafon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside Stéphane Lafon, 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 Stéphane Lafon Line = papers co-authored together Stéphane Lafon links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

#	Work
1	Google Street View: Capturing the World at Street Level Computer ·Dragomir Anguelov, Carole Dulong, Daniel Filip, Christian Frueh, Stéphane Lafon, Richard F. Lyon, Abhijit S. Ogale, Luc Vincent, Evangelos Gravanis Hit paper breakdown →	2010	531
2	Audio-Visual Group Recognition Using Diffusion Maps IEEE Transactions on Signal Processing ·Yosi Keller, Ronald R. Coifman, Stéphane Lafon, Steven W. Zucker	2009	37
3	Diffusion Maps, Reduction Coordinates, and Low Dimensional Representation of Stochastic Systems Multiscale Modeling and Simulation ·Ronald R. Coifman, Ioannis G. Kevrekidis, Stéphane Lafon, Mauro Maggioni, Boaz Nadler	2008	187
4	Diffusion maps, spectral clustering and reaction coordinates of dynamical systems Applied and Computational Harmonic Analysis ·Boaz Nadler, Stéphane Lafon, Ronald R. Coifman, Ioannis G. Kevrekidis Hit paper breakdown →	2006	643
5	Diffusion maps Applied and Computational Harmonic Analysis ·Ronald R. Coifman, Stéphane Lafon Hit paper breakdown →	2006	1511
6	Diffusion maps and coarse-graining: a unified framework for dimensionality reduction, graph partitioning, and data set parameterization IEEE Transactions on Pattern Analysis and Machine Intelligence ·Stéphane Lafon, Kelly Jezierski Hit paper breakdown →	2006	394
7	Data Fusion and Multicue Data Matching by Diffusion Maps IEEE Transactions on Pattern Analysis and Machine Intelligence ·Stéphane Lafon, Yosi Keller, Ronald R. Coifman	2006	228
8	Geometries of sensor outputs, inference, and information processing Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Ronald R. Coifman, Stéphane Lafon, Mauro Maggioni, Yosi Keller, Arthur Szlam, Frederick Warner, Steven W. Zucker	2006	12
9	Comparison of Systems using Diffusion Maps Umesh Vaidya, G. Hagen, Andrzej Banaszuk, Stéphane Lafon, Igor Mezić, Ronald R. Coifman	2006	5
10	Geometric harmonics: A novel tool for multiscale out-of-sample extension of empirical functions Applied and Computational Harmonic Analysis ·Ronald R. Coifman, Stéphane Lafon	2006	142
11	Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck operators ArXiv.org ·Boaz Nadler, Stéphane Lafon, Ronald R. Coifman, Ioannis G. Kevrekidis	2005	200
12	Geometric diffusions as a tool for harmonic analysis and structure definition of data: Multiscale methods Proceedings of the National Academy of Sciences ·Ronald R. Coifman, Stéphane Lafon, Cong Ling, Mauro Maggioni, Boaz Nadler, Frederick Warner, Steven W. Zucker	2005	137
13	Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps Proceedings of the National Academy of Sciences ·Ronald R. Coifman, Stéphane Lafon, Sheila M. Estacio, Mauro Maggioni, Boaz Nadler, Frederick Warner, Steven W. Zucker Hit paper breakdown →	2005	1027

About Stéphane Lafon

Stéphane Lafon is a scholar working on Computational Theory and Mathematics, Signal Processing, Computer Vision and Pattern Recognition, Geometry and Topology and Modeling and Simulation, having authored 13 papers that have together received 5.1k indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (4 papers), Neural Networks and Applications (3 papers), Blind Source Separation Techniques (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Face and Expression Recognition (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Theoretical and Computational Physics (2 papers) and Automated Road and Building Extraction (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Computer Graphics and Computer-Aided Design (194 citations), Statistical and Nonlinear Physics (654 citations), Computational Mathematics (31 citations) and Artificial Intelligence (1.1k citations). Stéphane Lafon has collaborated with scholars based in United States and Israel. Frequent co-authors include Ronald R. Coifman, Boaz Nadler, Ioannis G. Kevrekidis, Mauro Maggioni, Steven W. Zucker, Frederick Warner, Yosi Keller, Daniel Filip, Abhijit S. Ogale and Richard F. Lyon. Their work appears in journals such as Applied and Computational Harmonic Analysis, Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence, Multiscale Modeling and Simulation and IEEE Transactions on Signal Processing.

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.

Explore authors with similar magnitude of impact