D-Index & Metrics Best Publications
Computer Science
Switzerland
2022
Electronics and Electrical Engineering
Switzerland
2022

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 112 Citations 73,251 556 World Ranking 77 National Ranking 2
Electronics and Electrical Engineering D-index 90 Citations 49,692 306 World Ranking 77 National Ranking 3

Research.com Recognitions

Awards & Achievements

2022 - Research.com Computer Science in Switzerland Leader Award

2022 - Research.com Electronics and Electrical Engineering in Switzerland Leader Award

2019 - Member of Academia Europaea

2017 - Jack S. Kilby Signal Processing Medal For fundamental contributions to advanced sampling

2015 - Member of the National Academy of Engineering For development of time-frequency representations and algorithms in multimedia signal processing and communications.

2009 - ACM Fellow For contributions to multimedia compression and communication.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Algorithm
  • Computer network

His main research concerns Algorithm, Filter bank, Wavelet, Wavelet transform and Signal processing. His studies deal with areas such as Transform coding, Mathematical optimization, Computer vision and Signal reconstruction as well as Algorithm. His Filter bank research incorporates themes from Filter, Filter, Filter design, Control theory and Digital filter.

His Wavelet research includes themes of Basis and Pure mathematics. His Wavelet transform research entails a greater understanding of Artificial intelligence. His research investigates the connection with Artificial intelligence and areas like Pattern recognition which intersect with concerns in Image retrieval.

His most cited work include:

  • The contourlet transform: an efficient directional multiresolution image representation (3282 citations)
  • Wavelets and signal processing (2406 citations)
  • Adaptive wavelet thresholding for image denoising and compression (2344 citations)

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

Martin Vetterli spends much of his time researching Algorithm, Artificial intelligence, Computer vision, Wavelet and Mathematical optimization. Martin Vetterli has researched Algorithm in several fields, including Theoretical computer science, Signal reconstruction, Signal processing, Sampling and Filter bank. His Filter bank research integrates issues from Digital filter, Filter and Filter.

His Artificial intelligence research is multidisciplinary, relying on both Computer graphics and Pattern recognition. His study in Wavelet transform, Discrete wavelet transform, Wavelet packet decomposition and Stationary wavelet transform falls under the purview of Wavelet. His research integrates issues of Transform coding and Image compression in his study of Data compression.

He most often published in these fields:

  • Algorithm (42.57%)
  • Artificial intelligence (21.34%)
  • Computer vision (17.10%)

What were the highlights of his more recent work (between 2012-2021)?

  • Algorithm (42.57%)
  • Artificial intelligence (21.34%)
  • Computer vision (17.10%)

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

Martin Vetterli mostly deals with Algorithm, Artificial intelligence, Computer vision, Mathematical optimization and Compressed sensing. The various areas that Martin Vetterli examines in his Algorithm study include Set, Sampling, Signal, Trajectory and Euclidean distance. His research on Sampling also deals with topics like

  • Bandlimiting which intersects with area such as Signal reconstruction and Encoding,
  • Path most often made with reference to Parallel.

The Artificial intelligence study combines topics in areas such as Quadratic growth and Pattern recognition. His Mathematical optimization research is multidisciplinary, incorporating elements of Estimator, Inverse problem and Robustness. Martin Vetterli has included themes like Position and Signal processing in his Wireless sensor network study.

Between 2012 and 2021, his most popular works were:

  • Euclidean Distance Matrices: Essential theory, algorithms, and applications (176 citations)
  • Acoustic echoes reveal room shape (163 citations)
  • Near-Optimal Sensor Placement for Linear Inverse Problems (138 citations)

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

  • Artificial intelligence
  • Statistics
  • Algorithm

His primary areas of investigation include Algorithm, Artificial intelligence, Computer vision, Mathematical optimization and Compressed sensing. His Algorithm study incorporates themes from Signal, Microphone, Sampling, Iterative reconstruction and Euclidean distance. His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning, Ultrasonic sensor, Process and Scaling.

His studies in Computer vision integrate themes in fields like Calibration Error, Ultrasound Tomography, Set and Matrix completion. His Mathematical optimization study integrates concerns from other disciplines, such as Noise measurement, Sparse matrix, Robustness and Moore–Penrose pseudoinverse. His Compressed sensing study combines topics in areas such as Underdetermined system, Probability distribution, Random matrix, Combinatorics and Block matrix pseudoinverse.

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

The contourlet transform: an efficient directional multiresolution image representation

M.N. Do;M. Vetterli.
IEEE Transactions on Image Processing (2005)

5322 Citations

Wavelets and Subband Coding

Martin Vetterli;Jelena Kovačevic.
(2013)

4923 Citations

Wavelets and signal processing

O. Rioul;M. Vetterli.
IEEE Signal Processing Magazine (1991)

3694 Citations

Adaptive wavelet thresholding for image denoising and compression

S.G. Chang;Bin Yu;M. Vetterli.
IEEE Transactions on Image Processing (2000)

3679 Citations

Wavelets and filter banks: theory and design

M. Vetterli;C. Herley.
IEEE Transactions on Signal Processing (1992)

2569 Citations

Receiver-driven layered multicast

Steven McCanne;Van Jacobson;Martin Vetterli.
acm special interest group on data communication (1996)

2078 Citations

Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance

M.N. Do;M. Vetterli.
IEEE Transactions on Image Processing (2002)

1563 Citations

Spatially adaptive wavelet thresholding with context modeling for image denoising

S.G. Chang;Bin Yu;M. Vetterli.
IEEE Transactions on Image Processing (2000)

1412 Citations

Sampling signals with finite rate of innovation

M. Vetterli;P. Marziliano;T. Blu.
IEEE Transactions on Signal Processing (2002)

1187 Citations

Fast fourier transforms: a tutorial review and a state of the art

P. Duhamel;M. Vetterli.
Signal Processing (1990)

1179 Citations

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