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Mário A. T. Figueiredo

Mário A. T. Figueiredo

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Computer Science
Portugal
2026

D-Index & Metrics

Computer Science

D-Index
68
Citations
34098
World Ranking
2026
National Ranking
4

Mário A. T. Figueiredo publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Mário A. T. Figueiredo sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 320 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Mário A. T. Figueiredo D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Mário A. T. Figueiredo sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 68 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Computer Science in Portugal Leader Award
  • 2025 - Research.com Computer Science in Portugal Leader Award
  • 2023 - Research.com Computer Science in Portugal Leader Award
  • 2022 - Research.com Computer Science in Portugal Leader Award
  • 2010 - IEEE Fellow For contributions to pattern recognition and computer vision
  • 2008 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to unsupervised and supervised learning, image analysis, and wavelet-based image restoration.

Overview

Mário A. T. Figueiredo is affiliated with Instituto Superior Técnico in Portugal and has research contributions primarily in the field of Computer Science, with a specific focus on Artificial Intelligence. Their work spans multiple subfields including Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Computer Networks and Communications, and Electrical and Electronic Engineering.

Their research covers a diverse range of topics, notably Radiomics and Machine Learning in Medical Imaging, Distributed Sensor Networks and Detection Algorithms, Explainable Artificial Intelligence (XAI), Generative Adversarial Networks and Image Synthesis, Ethics and Social Impacts of AI, MRI in cancer diagnosis, and Anomaly Detection Techniques and Applications.

Frequent collaborators include João Santinha, Pedro Saleiro, Pedro Bizarro, Nuno Loução, and André F. T. Martins.

They have published extensively in various scientific venues. The most frequent publication outlets include arXiv (Cornell University) with 28 publications, Preprints.org with 3, Entropy with 2, Journal of Medical Imaging with 2, and Remote Sensing with 2 publications.

Recent published papers include:

  • The use of machine learning methods to estimate aboveground biomass of grasslands: A review, 2021, Ecological Indicators
  • Imputation of data Missing Not at Random: Artificial generation and benchmark analysis, 2024, Expert Systems with Applications
  • A multicenter study on radiomic features from T2-weighted images of a customized MR pelvic phantom setting the basis for robust radiomic models in clinics, 2020, Magnetic Resonance in Medicine
  • Block-Gaussian-Mixture Priors for Hyperspectral Denoising and Inpainting, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Human-AI Collaboration in Decision-Making: Beyond Learning to Defer, 2022, arXiv (Cornell University)

Mário A. T. Figueiredo has received recognition through awards including the IEEE Fellow distinction in 2010 for contributions to pattern recognition and computer vision, and becoming a Fellow of the International Association for Pattern Recognition (IAPR) in 2008 for contributions to unsupervised and supervised learning, image analysis, and wavelet-based image restoration.

Best Publications

  • Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems

    M.A.T. Figueiredo;R.D. Nowak;S.J. Wright

  • Unsupervised learning of finite mixture models

    M.A.T. Figueiredo;A.K. Jain

  • Sparse Reconstruction by Separable Approximation

    S.J. Wright;R.D. Nowak;M.A.T. Figueiredo

  • A New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image Restoration

    J.M. Bioucas-Dias;M.A.T. Figueiredo

  • An EM algorithm for wavelet-based image restoration

    M.A.T. Figueiredo;R.D. Nowak

  • Fast Image Recovery Using Variable Splitting and Constrained Optimization

    Manya V Afonso;José M Bioucas-Dias;Mário A T Figueiredo

  • An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems

    M V Afonso;José M Bioucas-Dias;Mário A T Figueiredo

  • Image classification for content-based indexing

    A. Vailaya;M.A.T. Figueiredo;A.K. Jain;Hong-Jiang Zhang

  • Sparse multinomial logistic regression: fast algorithms and generalization bounds

    B. Krishnapuram;L. Carin;M.A.T. Figueiredo;A.J. Hartemink

  • On the Role of Sparse and Redundant Representations in Image Processing

    Michael Elad;Mario A T Figueiredo;Yi Ma

  • Simultaneous feature selection and clustering using mixture models

    M.H.C. Law;M.A.T. Figueiredo;A.K. Jain

  • Adaptive sparseness for supervised learning

    M.A.T. Figueiredo

  • Alternating direction algorithms for constrained sparse regression: Application to hyperspectral unmixing

    Jose M. Bioucas-Dias;Mario A. T. Figueiredo

  • Majorization–Minimization Algorithms for Wavelet-Based Image Restoration

    M.A.T. Figueiredo;J.M. Bioucas-Dias;R.D. Nowak

  • Restoration of Poissonian Images Using Alternating Direction Optimization

    M A T Figueiredo;J M Bioucas-Dias

  • Review: Adaptive total variation image deblurring: A majorization-minimization approach

    João P. Oliveira;José M. Bioucas-Dias;Mário A. T. Figueiredo

  • Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization

    José M Bioucas-Dias;Mário A T Figueiredo

  • Wavelet-based image estimation: an empirical Bayes approach using Jeffrey's noninformative prior

    M.A.T. Figueiredo;R.D. Nowak

  • Boosting Algorithms: A Review of Methods, Theory, and Applications

    Artur Jorge Ferreira;Mário A. T. Figueiredo

  • Total Variation-Based Image Deconvolution: a Majorization-Minimization Approach

    J.M. Bioucas-Dias;M.A.T. Figueiredo;J.P. Oliveira

  • Content-based hierarchical classification of vacation images

    A. Vailaya;M. Figueiredo;A. Jain;Hong Jiang Zhang

Frequent Co-Authors

Jose M. Bioucas-Dias
Jose M. Bioucas-Dias Instituto Superior Técnico
Robert Nowak
Robert Nowak University of Wisconsin–Madison
Jorge S. Marques
Jorge S. Marques Instituto Superior Técnico
André F. T. Martins
André F. T. Martins Instituto Superior Técnico
Anil K. Jain
Anil K. Jain Michigan State University
Vittorio Murino
Vittorio Murino University of Verona
Noah A. Smith
Noah A. Smith University of Washington
Jacinto C. Nascimento
Jacinto C. Nascimento Instituto Superior Técnico
Eric P. Xing
Eric P. Xing Mohamed bin Zayed University of Artificial Intelligence
Arlindo L. Oliveira
Arlindo L. Oliveira University of Lisbon

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