2026 Mark A. Davenport: Engineering and Technology Researcher – H-Index, Publications & Awards

D-Index & Metrics

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	38	7877	7596	2154	1995	118	15457

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Engineering and Technology

7877

7596

2154

1995

118

15457

Engineering and Technology

D-Index

Citations

15457

World Ranking

7877

National Ranking

2154

Overview

Mark A. Davenport is affiliated with the Georgia Institute of Technology in the United States. Their research spans multiple areas primarily within computer science and engineering, with a strong focus on artificial intelligence, signal processing, and computational methods.

The main fields of study associated with their work are:

Computer Science
Engineering

Within these fields, they have contributed extensively to several subfields, including:

Artificial Intelligence
Computer Vision and Pattern Recognition
Signal Processing
Computational Mechanics
Electrical and Electronic Engineering

An overview of the main topics covered in their research includes:

Sparse and Compressive Sensing Techniques
Image and Signal Denoising Methods
Anomaly Detection Techniques and Applications
Speech and Audio Processing
Direction-of-Arrival Estimation Techniques
Neural Networks and Applications
Neural dynamics and brain function

The scientist has published significantly across several research venues. The most frequent publication venues are:

arXiv (Cornell University)
IEEE Transactions on Information Theory
Science and Public Policy
Assistive Technology
Proceedings of the AAAI Conference on Artificial Intelligence

Recent papers by Mark A. Davenport include the following:

"What governs attitudes toward artificial intelligence adoption and governance?", 2022, Science and Public Policy
"Generative causal explanations of black-box classifiers", 2020, arXiv (Cornell University)
"Validating a wheelchair in-seat activity tracker", 2021, Assistive Technology
"Dynamic Knowledge embedding and tracing", 2020, arXiv (Cornell University)
"Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time", 2021, arXiv (Cornell University)

Collaboration is a notable feature of their research activity. Frequent co-authors include:

Justin Romberg
Nauman Ahad
Andrew D. McRae
Santhosh Karnik
Peimeng Guan

Best Publications

Single-Pixel Imaging via Compressive Sampling

M.F. Duarte;M.A. Davenport;D. Takhar;J.N. Laska

4489
Citations
A Simple Proof of the Restricted Isometry Property for Random Matrices

Richard G. Baraniuk;Mark A. Davenport;Ronald A. DeVore;Michael B. Wakin

3148
Citations
Signal Processing With Compressive Measurements

M.A. Davenport;P.T. Boufounos;M.B. Wakin;R.G. Baraniuk

791
Citations
Introduction to compressed sensing

Mark A. Davenport;Marco F. Duarte;Yonina C. Eldar;Gitta Kutyniok

756
Citations
Analysis of Orthogonal Matching Pursuit Using the Restricted Isometry Property

M A Davenport;M B Wakin

663
Citations
An Overview of Low-Rank Matrix Recovery From Incomplete Observations

Mark A. Davenport;Justin Romberg

472
Citations
1-Bit matrix completion

Mark A. Davenport;Yaniv Plan;Ewout van den Berg;Mary Wootters

372
Citations
The smashed filter for compressive classification and target recognition

Mark A. Davenport;Marco F. Duarte;Michael B. Wakin;Jason N. Laska

349
Citations
On the Stability and Accuracy of Least Squares Approximations

Albert Cohen;Mark A. Davenport;Dany Leviatan

291
Citations
Democracy in Action: Quantization, Saturation, and Compressive Sensing

Jason N. Laska;Petros T. Boufounos;Mark A. Davenport;Richard G. Baraniuk

278
Citations
Sparse Signal Detection from Incoherent Projections

M.F. Duarte;M.A. Davenport;M.B. Wakin;R.G. Baraniuk

278
Citations
Sparsity and Structure in Hyperspectral Imaging : Sensing, Reconstruction, and Target Detection

Rebecca M. Willett;Marco F. Duarte;Mark A. Davenport;Richard G. Baraniuk

224
Citations
Method and apparatus for distributed compressed sensing

Richard G. Baraniuk;Dror Z. Baron;Marco F. Duarte;Shriram Sarvotham

211
Citations
The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding versus Dynamic Range

M. A. Davenport;J. N. Laska;J. R. Treichler;R. G. Baraniuk

208
Citations
Exact signal recovery from sparsely corrupted measurements through the Pursuit of Justice

Jason N. Laska;Mark A. Davenport;Richard G. Baraniuk

181
Citations
Detection and estimation with compressive measurements

Richard G. Baraniuk;Mark A. Davenport;Michael B. Wakin

177
Citations
Activity analysis of construction equipment using audio signals and support vector machines

Chieh-Feng Cheng;Abbas Rashidi;Mark A. Davenport;David V. Anderson

155
Citations
Signal Space CoSaMP for Sparse Recovery With Redundant Dictionaries

Mark A. Davenport;Deanna Needell;Michael B. Wakin

153
Citations
On the Fundamental Limits of Adaptive Sensing

E. Arias-Castro;E. J. Candes;M. A. Davenport

152
Citations
How well can we estimate a sparse vector

Emmanuel J. Candès;Mark A. Davenport

139
Citations