World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
21918
World Ranking
6638
National Ranking
2932

Overview

Marco F. Duarte is affiliated with the University of Massachusetts Amherst in the United States and has a research focus spanning engineering and computer science, with particular attention to artificial intelligence, information systems and management, signal processing, aerospace engineering, and media technology.

Their main research topics include:

  • Explainable Artificial Intelligence (XAI)
  • Scientific Computing and Data Management
  • Machine Learning in Materials Science
  • Cell Image Analysis Techniques
  • Direction-of-Arrival Estimation Techniques
  • Speech and Audio Processing
  • Indoor and Outdoor Localization Technologies

Marco F. Duarte has contributed to publications in several notable venues, including:

  • IEEE Access
  • ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
  • Sensors
  • IEEE Transactions on Signal Processing
  • arXiv (Cornell University)

Among recent papers authored or coauthored by Duarte are:

  • Explainable Machine Learning for Scientific Insights and Discoveries, 2020, IEEE Access
  • EXPLAIN IT TO ME - FACING REMOTE SENSING CHALLENGES IN THE BIO- AND GEOSCIENCES WITH EXPLAINABLE MACHINE LEARNING, 2020, ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
  • Cramér-Rao Bounds for DoA Estimation of Sparse Bayesian Learning with the Laplace Prior, 2022, Sensors
  • Binary Sequence Set Design for Interferer Rejection in Multi-Branch Modulation, 2020, IEEE Transactions on Signal Processing
  • SpectraLift: Physics-Guided Spectral-Inversion Network for Self-Supervised Hyperspectral Image Super-Resolution, 2025, arXiv (Cornell University)

Duarte frequently collaborates with other researchers, including Ribana Roscher, Bastian Bohn, Jochen Garcke, Hua Bai, and Ramakrishna Janaswamy.

Best Publications

  • Single-Pixel Imaging via Compressive Sampling

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

  • Model-Based Compressive Sensing

    R.G. Baraniuk;V. Cevher;M.F. Duarte;C. Hegde

  • Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals

    J.A. Tropp;J.N. Laska;M.F. Duarte;J.K. Romberg

  • Structured Compressed Sensing: From Theory to Applications

    M. F. Duarte;Y. C. Eldar

  • Explainable Machine Learning for Scientific Insights and Discoveries

    Ribana Roscher;Bastian Bohn;Marco F. Duarte;Jochen Garcke

  • A new compressive imaging camera architecture using optical-domain compression

    Dharmpal Takhar;Jason N. Laska;Michael B. Wakin;Marco F. Duarte

  • Introduction to compressed sensing

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

  • Distributed Compressed Sensing of Jointly Sparse Signals

    M.F. Duarte;S. Sarvotham;D. Baron;M.B. Wakin

  • Vehicle classification in distributed sensor networks

    Marco F. Duarte;Yu Hen Hu

  • Kronecker Compressive Sensing

    M. F. Duarte;R. G. Baraniuk

  • Analog-to-Information Conversion via Random Demodulation

    Sami Kirolos;Jason Laska;Michael Wakin;Marco Duarte

  • Theory and Implementation of an Analog-to-Information Converter using Random Demodulation

    J.N. Laska;S. Kirolos;M.F. Duarte;T.S. Ragheb

  • Spectral compressive sensing

    Marco F. Duarte;Richard G. Baraniuk

  • An Architecture for Compressive Imaging

    Michael Wakin;Jason Laska;Marco Duarte;Dror Baron

  • Distributed Compressive Sensing

    Dror Baron;Marco F. Duarte;Michael B. Wakin;Shriram Sarvotham

  • Random Filters for Compressive Sampling and Reconstruction

    J.A. Tropp;M.B. Wakin;M.F. Duarte;D. Baron

  • Compressive Sensing for Background Subtraction

    Volkan Cevher;Aswin Sankaranarayanan;Marco F. Duarte;Dikpal Reddy

  • The smashed filter for compressive classification and target recognition

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

  • Compressive imaging for video representation and coding

    Michael B. Wakin;Jason N. Laska;Marco F. Duarte;Dror Baron

  • Sparse Signal Detection from Incoherent Projections

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

Frequent Co-Authors

Richard G. Baraniuk
Richard G. Baraniuk Rice University
Michael B. Wakin
Michael B. Wakin Colorado School of Mines
Mark A. Davenport
Mark A. Davenport Georgia Institute of Technology
Volkan Cevher
Volkan Cevher École Polytechnique Fédérale de Lausanne
Yu Hen Hu
Yu Hen Hu University of Wisconsin–Madison
Yehia Massoud
Yehia Massoud Stevens Institute of Technology
Joel A. Tropp
Joel A. Tropp California Institute of Technology
David G. Stork
David G. Stork Stanford University
Dennis Goeckel
Dennis Goeckel University of Massachusetts Amherst
Søren Holdt Jensen
Søren Holdt Jensen University of Extremadura

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