World's Best Scientists 2026 revealed!
Aggelos K. Katsaggelos

Aggelos K. Katsaggelos

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
87
Citations
31819
World Ranking
344
National Ranking
165

Computer Science

D-Index
96
Citations
38013
World Ranking
436
National Ranking
241

Aggelos K. Katsaggelos publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Aggelos K. Katsaggelos sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 931 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Aggelos K. Katsaggelos D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Aggelos K. Katsaggelos sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 87 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2018 - OSA Fellows Aggelos K. Katsaggelos Northwestern Univ., USA For broad and enduring contributions to the field of digital image and video processing.
  • 2009 - SPIE Fellow
  • 1998 - IEEE Fellow For contributions to the theory and application of iterative image restoration methods.

Overview

Aggelos K. Katsaggelos is affiliated with Northwestern University in the United States. Their research spans multiple disciplines, with a primary focus on computer science, medicine, and engineering. The scientist has contributed extensively to subfields such as computer vision and pattern recognition, artificial intelligence, radiology, nuclear medicine and imaging, electrical and electronic engineering, and biomedical engineering.

The research topics addressed in their work include advanced MRI techniques and applications, AI in cancer detection, neural networks and their applications, cardiac imaging and diagnostics, advanced X-ray and CT imaging, machine learning in healthcare, and advanced image processing techniques.

Some of the recent publications authored or co-authored by Aggelos K. Katsaggelos include:

  • Snapshot Compressive Imaging: Theory, Algorithms, and Applications, 2021, IEEE Signal Processing Magazine
  • Automated Atrial Fibrillation Detection using a Hybrid CNN-LSTM Network on Imbalanced ECG Datasets, 2020, Biomedical Signal Processing and Control
  • DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large U.S. Clinical Data Set, 2020, Radiology
  • Automated Lung Sound Classification Using a Hybrid CNN-LSTM Network and Focal Loss Function, 2022, Sensors
  • POSYDON: A General-purpose Population Synthesis Code with Detailed Binary-evolution Simulations, 2023, The Astrophysical Journal Supplement Series

Frequent co-authors include:

  • Yunan Wu
  • Oliver Cossairt
  • Rafael Molina
  • Florian Schiffers
  • Manuel Ballester

Publication venues where the scientist has frequently published consist of:

  • arXiv (Cornell University)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Scientific Reports
  • Sensors
  • Digital Signal Processing

There is also a record of book publications with the Cambridge University Press, including the title Machine Learning Refined published in 2020.

Aggelos K. Katsaggelos has received several awards over the course of their career, including:

  • OSA Fellows, 2018, "For broad and enduring contributions to the field of digital image and video processing."
  • SPIE Fellow, 2009
  • IEEE Fellow, 1998, "For contributions to the theory and application of iterative image restoration methods."

Best Publications

  • Digital Image Restoration

    M.R. Banham;A.K. Katsaggelos

  • Hybrid image segmentation using watersheds and fast region merging

    K. Haris;S.N. Efstratiadis;N. Maglaveras;A.K. Katsaggelos

  • Bayesian Compressive Sensing Using Laplace Priors

    S.D. Babacan;R. Molina;A.K. Katsaggelos

  • Error resilient video coding techniques

    Yao Wang;S. Wenger;Jiantao Wen;A.K. Katsaggelos

  • Video Super-Resolution With Convolutional Neural Networks

    Armin Kappeler;Seunghwan Yoo;Qiqin Dai;Aggelos K. Katsaggelos

  • Regularized reconstruction to reduce blocking artifacts of block discrete cosine transform compressed images

    Yongyi Yang;N.P. Galatsanos;A.K. Katsaggelos

  • Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation

    N.P. Galatsanos;A.K. Katsaggelos

  • Iterative Identification and Restoration of Images

    R.L. Lagendijk;A.K. Katsaggelos;J. Biemond

  • Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods

    Alice Lucas;Michael Iliadis;Rafael Molina;Aggelos K. Katsaggelos

  • Projection-based spatially adaptive reconstruction of block-transform compressed images

    Yongyi Yang;N.P. Galatsanos;A.K. Katsaggelos

  • A regularized iterative image restoration algorithm

    A.K. Katsaggelos;J. Biemond;R.W. Schafer;R.M. Mersereau

  • Iterative Image Restoration Algorithms

    Aggelos K. Katsaggelos

  • Efficient Video Object Segmentation via Network Modulation

    Linjie Yang;Yanran Wang;Xuehan Xiong;Jianchao Yang

  • SoftCuts: A Soft Edge Smoothness Prior for Color Image Super-Resolution

    Shengyang Dai;Mei Han;Wei Xu;Ying Wu

  • Noise reduction filters for dynamic image sequences: a review

    J.C. Brailean;R.P. Kleihorst;S. Efstratiadis;A.K. Katsaggelos

  • Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science

    M. Zevin;S. B. Coughlin;S. Bahaadini;E. Besler

  • A survey of classical methods and new trends in pansharpening of multispectral images

    Israa Amro;Israa Amro;Javier Mateos;Miguel Vega;Rafael Molina

  • Snapshot Compressive Imaging: Principle, Implementation, Theory, Algorithms and Applications.

    Xin Yuan;David J. Brady;Aggelos K. Katsaggelos

  • General choice of the regularization functional in regularized image restoration

    Moon Gi Kang;A.K. Katsaggelos

  • Automatic facial expression recognition using facial animation parameters and multistream HMMs

    P.S. Aleksic;A.K. Katsaggelos

  • Image restoration using a modified Hopfield network

    J.K. Paik;A.K. Katsaggelos

  • Variational Bayesian Super Resolution

    S Derin Babacan;Rafael Molina;Aggelos K Katsaggelos

  • 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING

    E. Soyak;Sotirios Tsaftaris;A. K. Katsaggelos

  • 2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING

    E. Soyak;Sotirios Tsaftaris;A. K. Katsaggelos

Frequent Co-Authors

Rafael Molina
Rafael Molina University of Granada
Thrasyvoulos N. Pappas
Thrasyvoulos N. Pappas Northwestern University
Sotirios A. Tsaftaris
Sotirios A. Tsaftaris University of Edinburgh
Randall A. Berry
Randall A. Berry Northwestern University
Nikolas P. Galatsanos
Nikolas P. Galatsanos University of Ioannina
Joonki Paik
Joonki Paik Chung-Ang University
Nasser M. Nasrabadi
Nasser M. Nasrabadi West Virginia University
Ying Wu
Ying Wu Northwestern University
Norbert F. Scherer
Norbert F. Scherer University of Chicago
Jianwei Huang
Jianwei Huang Chinese University of Hong Kong, Shenzhen

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