Mark A. Davenport

13.1k total citations · 5 hit papers
82 papers, 7.9k citations indexed

About

Mark A. Davenport is a scholar working on Computational Mechanics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mark A. Davenport has authored 82 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computational Mechanics, 20 papers in Artificial Intelligence and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mark A. Davenport's work include Sparse and Compressive Sensing Techniques (38 papers), Microwave Imaging and Scattering Analysis (13 papers) and Blind Source Separation Techniques (9 papers). Mark A. Davenport is often cited by papers focused on Sparse and Compressive Sensing Techniques (38 papers), Microwave Imaging and Scattering Analysis (13 papers) and Blind Source Separation Techniques (9 papers). Mark A. Davenport collaborates with scholars based in United States, Israel and Japan. Mark A. Davenport's co-authors include Richard G. Baraniuk, Michael B. Wakin, Jason N. Laska, Marco F. Duarte, Ronald DeVore, Kevin F. Kelly, Dharmpal Takhar, Ting Sun, Petros T. Boufounos and Justin Romberg and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and IEEE Transactions on Image Processing.

In The Last Decade

Mark A. Davenport

77 papers receiving 7.5k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Single-pixel imaging via compressive sampling

2008 2.3k citations Marco F. Duarte, Mark A. Davenport et al. profile →
A Simple Proof of the Restricted Isometry Property for Random Matrices

2008 1.5k citations Richard G. Baraniuk, Mark A. Davenport et al. profile →
Compressed Sensing

2012 1.1k citations Yonina C. Eldar, Mark A. Davenport et al. Cambridge University Press eBooks profile →
Signal Processing With Compressive Measurements

2010 432 citations Mark A. Davenport, Michael B. Wakin et al. profile →
An Overview of Low-Rank Matrix Recovery From Incomplete Observations

2016 236 citations Mark A. Davenport, Justin Romberg profile →

Peers

Countries citing papers authored by Mark A. Davenport

Since Specialization

Citations

This map shows the geographic impact of Mark A. Davenport's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark A. Davenport with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. Davenport more than expected).

Fields of papers citing papers by Mark A. Davenport

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Davenport. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark A. Davenport. The network helps show where Mark A. Davenport may publish in the future.

Co-authorship network of co-authors of Mark A. Davenport

This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Davenport. A scholar is included among the top collaborators of Mark A. Davenport based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark A. Davenport. Mark A. Davenport is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Robust Broadband Beamforming using Bilinear Programming 2024 ·(unknown), (unknown), Mark A. Davenport, Justin Romberg	0
2	New Equivalences between Interpolation and SVMs: Kernels and Structured Features 2024 ·SIAM Journal on Mathematics of Data Science ·(unknown), (unknown), Mark A. Davenport, (unknown)	1
3	Iterative Broadband Source Localization 2023 ·IEEE Journal on Selected Areas in Information Theory ·(unknown), (unknown), (unknown), Christopher Hood, Mark A. Davenport, Justin Romberg	1
4	Optimal Convex Lifted Sparse Phase Retrieval and PCA With an Atomic Matrix Norm Regularizer 2022 ·IEEE Transactions on Information Theory ·(unknown), Justin Romberg, Mark A. Davenport	2
5	As You Like It: Localization via Paired Comparisons 2021 ·Journal of Machine Learning Research ·(unknown), Mark A. Davenport	0
6	Validating a wheelchair in-seat activity tracker 2021 ·Assistive Technology ·(unknown), Sharon Eve Sonenblum, Mark A. Davenport, Stephen Sprigle	8
7	Fast Multitaper Spectral Estimation 2019 ·(unknown), Justin Romberg, Mark A. Davenport	1
8	Joint Estimation of Trajectory and Dynamics from Paired Comparisons 2019 ·(unknown), Matthew O’Shaughnessy, Christopher J. Rozell, Mark A. Davenport	1
9	Audio-Based Bayesian Model for Productivity Estimation of Cyclic Construction Activities 2019 ·Journal of Computing in Civil Engineering ·(unknown), Abbas Rashidi, Biswanath Samanta, Mark A. Davenport, David V. Anderson	45
10	ROAST: Rapid Orthogonal Approximate Slepian Transform 2018 ·IEEE Transactions on Signal Processing ·Zhihui Zhu, (unknown), Michael B. Wakin, Mark A. Davenport, Justin Romberg	2
11	Active manifold learning via a unified framework for manifold landmarking. 2017 ·arXiv (Cornell University) ·Hongteng Xu, Licheng Yu, Mark A. Davenport, Hongyuan Zha	1
12	Fast orthogonal approximations of sampled sinusoids and bandlimited signals 2017 ·Digital Collections of Colorado (Colorado State University) ·Zhihui Zhu, (unknown), Michael B. Wakin, Mark A. Davenport, Justin Romberg	2
13	Lost without a compass: Nonmetric triangulation and landmark multidimensional scaling 2013 ·Mark A. Davenport	4
14	Compressed Sensing breakdown → 2012 ·Cambridge University Press eBooks ·Yonina C. Eldar, Mark A. Davenport, Alexey Castrodad, Moshe Mishali, José Antonio Urigüen, Roman Vershynin, Jarvis Haupt, Weiyu Xu, Thomas Blumensath, Andrea Montanari, Robert Calderbank, Gitta Kutyniok, Arvind Ganesh	1142
15	CoSaMP with redundant dictionaries 2012 ·Mark A. Davenport, Deanna Needell, Michael B. Wakin	2
16	Compressive Sensing of Analog Signals Using Discrete Prolate Spheroidal Sequences 2011 ·Mark A. Davenport, Michael B. Wakin	59
17	High-dimensional data fusion via joint manifold learning 2010 ·National Conference on Artificial Intelligence ·Mark A. Davenport, Chinmay Hegde, Marco F. Duarte, Richard G. Baraniuk	5
18	Multiscale Random Projections for Compressive Classification 2007 ·Rice Digital Scholarship Archive (Rice University) ·Marco F. Duarte, Mark A. Davenport, Michael B. Wakin, Jason N. Laska, Dharmpal Takhar, Kevin F. Kelly, Richard G. Baraniuk	22
19	The smashed filter for compressive classification and target recognition 2007 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Mark A. Davenport, Marco F. Duarte, Michael B. Wakin, Jason N. Laska, Dharmpal Takhar, Kevin F. Kelly, Richard G. Baraniuk	158
20	Field Test Results of the New Combinable Magnetic Resonance Autotune Logging Tool 2005 ·SPE Annual Technical Conference and Exhibition ·Chanh Cao Minh, (unknown), Martin D. Hürlimann, T.L. Smithson, (unknown), (unknown), (unknown), (unknown), Mark A. Davenport, Hilary Rose, (unknown)	2

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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