Nicolas Le Roux

6.7k citations
63 papers · 2.8k · 3 hit papers · h-index 21

Impact in

Papers in

Nicolas Le Roux

60 papers receiving 2.6k citations

Nicolas Le Roux's Hit Papers

The social shortfall and ecological overshoot of nations 2021 · 230 citations
2300+7+15Years since publication100200300400500

Peers

Nicolas Le Roux
Comparison fields: 5 of 158
  • Computer Vision and Pattern Recognition 1.0k
  • Computational Mathematics 20
  • Artificial Intelligence 1.1k
  • Media Technology 211
  • Signal Processing 233
Replace Naonori Ueda with:
Naonori Ueda Japan
Xin Sun China
Gang Wang China
Frank Nielsen Japan
Bin Gao China
Guoqiang Zhong China
Fernando Pérez‐Cruz Spain
Xiaofeng He China
S.R. Gunn United Kingdom
Zhiwen Yu China
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Citations per year

Countries citing papers authored by Nicolas Le Roux

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Le Roux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolas Le Roux. 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 Nicolas Le Roux. The network helps show where Nicolas Le Roux may publish in the future.

Co-authors

The 25 scholars most cited alongside Nicolas Le Roux, 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 Nicolas Le Roux Line = papers co-authored together Nicolas Le Roux links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering
Hit paper breakdown →
2003599
2
Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
Hit paper breakdown →
2008527
3
The social shortfall and ecological overshoot of nations
Hit paper breakdown →
2021230
4 2004205
5 2011145
6
The Curse of Highly Variable Functions for Local Kernel Machines
2005127
7
Efficient Non-Parametric Function Induction in Semi-Supervised Learning
2004127
8 2010114
9 201164
10
Topmoumoute Online Natural Gradient Algorithm
200760
11
Convex Neural Networks
200558
12 201055
13 202046
14
A Stochastic Gradient Method with an Exponential Convergence Rate for Strongly-Convex Optimization with Finite Training Sets
201234
15 201533
16 201528
17 202126
18 202026
19
A fast natural Newton method
201025
20 202020

About Nicolas Le Roux

Nicolas Le Roux is a scholar working on Artificial Intelligence, Environmental Engineering, Computer Vision and Pattern Recognition, Computational Mechanics and Atmospheric Science, having authored 63 papers that have together received 2.8k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (8 papers), Agriculture Sustainability and Environmental Impact (6 papers), Agriculture, Land Use, Rural Development (5 papers), Environmental Impact and Sustainability (5 papers), Wind and Air Flow Studies (5 papers), Neural Networks and Applications (5 papers), Climate change and permafrost (5 papers) and Optical Polarization and Ellipsometry (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Computational Mathematics (20 citations), Artificial Intelligence (1.1k citations), Media Technology (211 citations) and Signal Processing (233 citations). Nicolas Le Roux has collaborated with scholars based in France, Canada and Austria. Frequent co-authors include Yoshua Bengio, Olivier Delalleau, Pascal Vincent, Marie Claude Ouimet, Francis Bach, Andrew L. Fanning, Jason Hickel, Daniel W. O’Neill, Mark Schmidt and Jean-François Paiement. Their work appears in journals such as Neural Computation, Journal of the Optical Society of America A, Building and Environment, International Journal of Ventilation and One Earth.

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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