D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index 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. Citations Publications World Ranking National Ranking
Computer Science D-index 43 Citations 10,701 127 World Ranking 3864 National Ranking 175
Mathematics D-index 39 Citations 8,302 104 World Ranking 1058 National Ranking 66

Research.com Recognitions

Awards & Achievements

2019 - SIAM Fellow For contributions to applied harmonic analysis, compressed sensing, and imaging sciences.

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Statistics
  • Mathematical analysis

Her primary areas of investigation include Shearlet, Wavelet, Algorithm, Curvelet and Compressed sensing. Her work carried out in the field of Shearlet brings together such families of science as Sparse approximation, Representation, Group and Wavelet transform. Her work deals with themes such as Image processing and Mathematical analysis, Continuum, Topology, which intersect with Wavelet.

Her studies deal with areas such as Subspace topology, Orthogonal basis and Mathematical theory as well as Algorithm. Her research integrates issues of Norm, Contourlet and Scaling in her study of Curvelet. To a larger extent, Gitta Kutyniok studies Artificial intelligence with the aim of understanding Compressed sensing.

Her most cited work include:

  • Compressed sensing : theory and applications (1555 citations)
  • Compressed Sensing: List of contributors (634 citations)
  • Sparse multidimensional representation using shearlets (388 citations)

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

Gitta Kutyniok mainly investigates Shearlet, Algorithm, Wavelet, Sparse approximation and Artificial intelligence. The various areas that Gitta Kutyniok examines in her Shearlet study include Gravitational singularity, Mathematical analysis, Curvelet, Representation and Scaling. Gitta Kutyniok studies Compressed sensing which is a part of Algorithm.

Her Wavelet study incorporates themes from Applied mathematics and Affine transformation. Her studies deal with areas such as Basis, Norm and Minification as well as Sparse approximation. She has included themes like Computer vision and Pattern recognition in her Artificial intelligence study.

She most often published in these fields:

  • Shearlet (36.69%)
  • Algorithm (34.27%)
  • Wavelet (20.16%)

What were the highlights of her more recent work (between 2018-2021)?

  • Artificial intelligence (21.77%)
  • Artificial neural network (8.06%)
  • Algorithm (34.27%)

In recent papers she was focusing on the following fields of study:

The scientist’s investigation covers issues in Artificial intelligence, Artificial neural network, Algorithm, Shearlet and Pattern recognition. Her Artificial intelligence study deals with Machine learning intersecting with Flexibility and Generative grammar. Her Artificial neural network research incorporates elements of Topology, Function space, Applied mathematics and Approximation theory.

The study incorporates disciplines such as Perspective, Mutual coherence and Noise in addition to Algorithm. Many of her studies on Shearlet involve topics that are commonly interrelated, such as Feature. The Pattern recognition study which covers Image that intersects with Sparse approximation.

Between 2018 and 2021, her most popular works were:

  • Optimal Approximation with Sparsely Connected Deep Neural Networks (116 citations)
  • A Theoretical Analysis of Deep Neural Networks and Parametric PDEs (56 citations)
  • Learning the invisible: a hybrid deep learning-shearlet framework for limited angle computed tomography (50 citations)

In her most recent research, the most cited papers focused on:

  • Statistics
  • Artificial intelligence
  • Mathematical analysis

Her scientific interests lie mostly in Artificial neural network, Applied mathematics, Convolutional neural network, Deep neural networks and Topology. Her studies in Artificial neural network integrate themes in fields like Algorithm, Residual and Approximation theory. Her Applied mathematics research is multidisciplinary, incorporating perspectives in Partial differential equation and Sobolev space.

The Convolutional neural network study combines topics in areas such as Shearlet, Deep learning, Inverse problem and Graph. Her Shearlet study is associated with Wavelet. Her study in Artificial intelligence is interdisciplinary in nature, drawing from both Function and Function space.

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

Compressed sensing : theory and applications

Yonina C. Eldar;Gitta Kutyniok.
Published in <b>2012</b> in Cambridge New York by Cambridge University Press (2012)

2394 Citations

Compressed Sensing: List of contributors

Yonina C. Eldar;Gitta Kutyniok.
(2012)

993 Citations

Introduction to compressed sensing

Mark A. Davenport;Marco F. Duarte;Yonina C. Eldar;Gitta Kutyniok.
Compressed Sensing (2012)

659 Citations

Sparse multidimensional representation using shearlets

Demetrio Labate;Wang-Q. Lim;Gitta Kutyniok;Guido Weiss.
Proceedings of SPIE (2005)

575 Citations

Finite Frames: Theory and Applications

Peter G. Casazza;Gitta Kutyniok.
(2012)

438 Citations

Shearlets: Multiscale Analysis for Multivariate Data

Gitta Kutyniok;Demetrio Labate.
(2012)

393 Citations

Frames of subspaces

Peter G. Casazza;Gitta Kutyniok.
arXiv: Functional Analysis (2003)

364 Citations

Fusion frames and distributed processing

Peter G. Casazza;Gitta Kutyniok;Shidong Li.
Applied and Computational Harmonic Analysis (2008)

362 Citations

Resolution of the wavefront set using continuous shearlets

Gitta Kutyniok;Demetrio Labate.
Transactions of the American Mathematical Society (2008)

303 Citations

Full length article: Compactly supported shearlets are optimally sparse

Gitta Kutyniok;Wang-Q Lim.
Journal of Approximation Theory (2011)

276 Citations

Editorial Boards

Journal of Approximation Theory
(Impact Factor: 0.993)

Best Scientists Citing Gitta Kutyniok

Yonina C. Eldar

Yonina C. Eldar

Weizmann Institute of Science

Publications: 139

Peter G. Casazza

Peter G. Casazza

University of Missouri

Publications: 59

Helmut Bölcskei

Helmut Bölcskei

ETH Zurich

Publications: 23

Jinho Choi

Jinho Choi

Deakin University

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Ole Christensen

Ole Christensen

Technical University of Denmark

Publications: 22

Mathukumalli Vidyasagar

Mathukumalli Vidyasagar

Indian Institute of Technology Hyderabad

Publications: 19

Arnulf Jentzen

Arnulf Jentzen

University of Münster

Publications: 19

Gabriele Steidl

Gabriele Steidl

Technical University of Berlin

Publications: 17

Hans G. Feichtinger

Hans G. Feichtinger

University of Vienna

Publications: 14

Christopher Heil

Christopher Heil

Georgia Institute of Technology

Publications: 13

Philip Schniter

Philip Schniter

The Ohio State University

Publications: 13

Karlheinz Gröchenig

Karlheinz Gröchenig

University of Vienna

Publications: 13

Akram Aldroubi

Akram Aldroubi

Vanderbilt University

Publications: 12

Pramod K. Varshney

Pramod K. Varshney

Syracuse University

Publications: 12

Rong Jin

Rong Jin

Alibaba Group (China)

Publications: 11

Zuowei Shen

Zuowei Shen

National University of Singapore

Publications: 10

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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