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
Engineering and Technology D-index 31 Citations 12,469 89 World Ranking 5603 National Ranking 2000

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Machine learning

His main research concerns Compressed sensing, Artificial intelligence, Signal processing, Detection theory and Computer vision. His studies in Compressed sensing integrate themes in fields like Nyquist rate and Combinatorics. His research in the fields of Iterative reconstruction and Digital camera overlaps with other disciplines such as Digital photography.

His studies deal with areas such as Theoretical computer science, Computer engineering, Digital signal processing, Inference and Small set as well as Signal processing. His Computer vision study combines topics in areas such as Speech recognition, Hyperspectral imaging, Digital micromirror device and Component. His Restricted isometry property research incorporates elements of Elementary proof, Euclidean space, Pure mathematics and Random matrix.

His most cited work include:

  • Single-Pixel Imaging via Compressive Sampling (2362 citations)
  • A Simple Proof of the Restricted Isometry Property for Random Matrices (2130 citations)
  • Signal Processing With Compressive Measurements (540 citations)

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

His scientific interests lie mostly in Artificial intelligence, Algorithm, Compressed sensing, Pattern recognition and Machine learning. His Artificial intelligence study often links to related topics such as Computer vision. The various areas that Mark A. Davenport examines in his Algorithm study include Bandlimiting, Mathematical optimization and Signal processing.

Mark A. Davenport is interested in Restricted isometry property, which is a field of Compressed sensing. His Restricted isometry property research integrates issues from Greedy algorithm and Combinatorics. Mark A. Davenport combines subjects such as Classifier and Data mining with his study of Machine learning.

He most often published in these fields:

  • Artificial intelligence (28.12%)
  • Algorithm (27.34%)
  • Compressed sensing (27.34%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (28.12%)
  • Combinatorics (10.94%)
  • Machine learning (12.50%)

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

The scientist’s investigation covers issues in Artificial intelligence, Combinatorics, Machine learning, Algorithm and Orthonormality. Mark A. Davenport frequently studies issues relating to Pattern recognition and Artificial intelligence. His Pattern recognition research includes elements of Sequence, Deep learning, Task and Preference vector.

His studies in Combinatorics integrate themes in fields like Space and Metric. As a part of the same scientific study, he usually deals with the Machine learning, concentrating on Generative model and frequently concerns with Black box. In general Algorithm study, his work on Algorithm design often relates to the realm of Sample complexity, thereby connecting several areas of interest.

Between 2019 and 2021, his most popular works were:

  • Audio-Based Bayesian Model for Productivity Estimation of Cyclic Construction Activities (5 citations)
  • Sparse Bayesian Learning With Dynamic Filtering for Inference of Time-Varying Sparse Signals (4 citations)
  • Generative causal explanations of black-box classifiers (3 citations)

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

  • Artificial intelligence
  • Statistics
  • Machine learning

Mark A. Davenport mostly deals with Basis, Wave function, Orthonormality, Operator and Discrete-time Fourier transform. His Basis research covers fields of interest such as Mathematical analysis and Pure mathematics.

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

Single-Pixel Imaging via Compressive Sampling

M.F. Duarte;M.A. Davenport;D. Takhar;J.N. Laska.
IEEE Signal Processing Magazine (2008)

3178 Citations

A Simple Proof of the Restricted Isometry Property for Random Matrices

Richard G. Baraniuk;Mark A. Davenport;Ronald A. DeVore;Michael B. Wakin.
Constructive Approximation (2008)

2661 Citations

Signal Processing With Compressive Measurements

M.A. Davenport;P.T. Boufounos;M.B. Wakin;R.G. Baraniuk.
IEEE Journal of Selected Topics in Signal Processing (2010)

677 Citations

Introduction to compressed sensing

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

659 Citations

Analysis of Orthogonal Matching Pursuit Using the Restricted Isometry Property

M A Davenport;M B Wakin.
IEEE Transactions on Information Theory (2010)

577 Citations

The smashed filter for compressive classification and target recognition

Mark A. Davenport;Marco F. Duarte;Michael B. Wakin;Jason N. Laska.
electronic imaging (2007)

326 Citations

An Overview of Low-Rank Matrix Recovery From Incomplete Observations

Mark A. Davenport;Justin Romberg.
IEEE Journal of Selected Topics in Signal Processing (2016)

292 Citations

1-Bit matrix completion

Mark A. Davenport;Yaniv Plan;Ewout van den Berg;Mary Wootters.
Information and Inference: A Journal of the IMA (2014)

276 Citations

Sparse Signal Detection from Incoherent Projections

M.F. Duarte;M.A. Davenport;M.B. Wakin;R.G. Baraniuk.
international conference on acoustics, speech, and signal processing (2006)

269 Citations

Democracy in Action: Quantization, Saturation, and Compressive Sensing

Jason N. Laska;Petros T. Boufounos;Mark A. Davenport;Richard G. Baraniuk.
Applied and Computational Harmonic Analysis (2011)

258 Citations

Best Scientists Citing Mark A. Davenport

Richard G. Baraniuk

Richard G. Baraniuk

Rice University

Publications: 91

Michael B. Wakin

Michael B. Wakin

Colorado School of Mines

Publications: 66

Justin Romberg

Justin Romberg

Georgia Institute of Technology

Publications: 54

Yonina C. Eldar

Yonina C. Eldar

Weizmann Institute of Science

Publications: 48

Holger Rauhut

Holger Rauhut

RWTH Aachen University

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Xin Yuan

Xin Yuan

Nanyang Technological University

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Pramod K. Varshney

Pramod K. Varshney

Syracuse University

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Enrico Magli

Enrico Magli

Polytechnic University of Turin

Publications: 33

Christoph Studer

Christoph Studer

ETH Zurich

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Aswin C. Sankaranarayanan

Aswin C. Sankaranarayanan

Carnegie Mellon University

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Gonzalo R. Arce

Gonzalo R. Arce

University of Delaware

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Marco F. Duarte

Marco F. Duarte

University of Massachusetts Amherst

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Riccardo Rovatti

Riccardo Rovatti

University of Bologna

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Lawrence Carin

Lawrence Carin

King Abdullah University of Science and Technology

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Rebecca Willett

Rebecca Willett

University of Chicago

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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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