D-Index & Metrics Best Publications

Boaz Nadler

Weizmann Institute of Science
Israel

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 36 Citations 8,132 98 World Ranking 7052 National Ranking 128

Overview

What is he best known for?

The fields of study Boaz Nadler is best known for:

Statistics
Eigenvalues and eigenvectors
Quantum mechanics

His Mathematical analysis study has been linked to subjects such as Infinitesimal and Generalization. His study deals with a combination of Infinitesimal and Geometry. As part of his studies on Geometry, he often connects relevant subjects like Scaling. He performs multidisciplinary studies into Scaling and Eigenvalues and eigenvectors in his work. Random matrix and Eigenfunction are the subject areas of his Eigenvalues and eigenvectors study. His study brings together the fields of Mathematical analysis and Generalization. His Algorithm research is linked to Covariance matrix and Minimum description length. His work in Minimum description length is not limited to one particular discipline; it also encompasses Algorithm. Boaz Nadler integrates Statistics with Covariance matrix in his study.

His most cited work include:

Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps (1324 citations)
Non-Parametric Detection of the Number of Signals: Hypothesis Testing and Random Matrix Theory (252 citations)
Geometric diffusions as a tool for harmonic analysis and structure definition of data: Multiscale methods (197 citations)

What are the main themes of his work throughout his whole career to date

Constitutive equation is closely connected to Finite element method in his research, which is encompassed under the umbrella topic of Structural engineering. He links relevant study fields such as Boundary value problem, Boundary (topology), Generalization and Infinitesimal in the subject of Mathematical analysis. His Boundary value problem study frequently intersects with other fields, such as Mathematical analysis. He connects relevant research areas such as Markov chain and Estimator in the realm of Statistics. By researching both Estimator and Statistics, he produces research that crosses academic boundaries. Geometry is intertwined with Point (geometry) and Scaling in his research. Boaz Nadler connects Point (geometry) with Geometry in his research. His research combines Diffusion and Quantum mechanics. He combines topics linked to Matrix (chemical analysis) with his work on Composite material.

Boaz Nadler most often published in these fields:

Quantum mechanics (81.25%)
Mathematical analysis (62.50%)
Composite material (31.25%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps

R. R. Coifman;S. Lafon;A. B. Lee;M. Maggioni.
Proceedings of the National Academy of Sciences of the United States of America (2005)

1667 Citations

Diffusion maps, spectral clustering and reaction coordinates of dynamical systems

Boaz Nadler;Stéphane Lafon;Ronald R. Coifman;Ioannis G. Kevrekidis.
Applied and Computational Harmonic Analysis (2006)

960 Citations

Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck Operators

Boaz Nadler;Stephane Lafon;Ioannis Kevrekidis;Ronald R. Coifman.
neural information processing systems (2005)

548 Citations

Non-Parametric Detection of the Number of Signals: Hypothesis Testing and Random Matrix Theory

S. Kritchman;B. Nadler.
IEEE Transactions on Signal Processing (2009)

322 Citations

Finite sample approximation results for principal component analysis: A matrix perturbation approach

Boaz Nadler.
Annals of Statistics (2008)

310 Citations

Natural image denoising: Optimality and inherent bounds

Anat Levin;Boaz Nadler.
computer vision and pattern recognition (2011)

279 Citations

Geometric diffusions as a tool for harmonic analysis and structure definition of data: Multiscale methods

R. R. Coifman;S. Lafon;A. B. Lee;M. Maggioni.
Proceedings of the National Academy of Sciences of the United States of America (2005)

244 Citations

Multiscale Wavelets on Trees, Graphs and High Dimensional Data: Theory and Applications to Semi Supervised Learning

Matan Gavish;Boaz Nadler;Ronald R. Coifman.
international conference on machine learning (2010)

242 Citations

Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck operators

Boaz Nadler;Stephane Lafon;Ronald R. Coifman;Ioannis G. Kevrekidis.
arXiv: Numerical Analysis (2005)

231 Citations

Determining the number of components in a factor model from limited noisy data

Shira Kritchman;Boaz Nadler.
Chemometrics and Intelligent Laboratory Systems (2008)

226 Citations

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Boaz Nadler

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Overview

What is he best known for?

The fields of study Boaz Nadler is best known for:

His most cited work include:

What are the main themes of his work throughout his whole career to date

Boaz Nadler most often published in these fields:

Best Publications

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