World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
47
Citations
9039
World Ranking
3216
National Ranking
17

Computer Science

D-Index
54
Citations
19615
World Ranking
4446
National Ranking
18

Sergios Theodoridis 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 Sergios Theodoridis 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: 307 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Sergios Theodoridis 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 Sergios Theodoridis 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: 47 D-Index — 54th percentile

54% 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

  • 2009 - Fellow of the Royal Society of Edinburgh
  • 2008 - IEEE Fellow For contributions to the design of adaptive signal processing systems

Overview

Sergios Theodoridis is affiliated with the National and Kapodistrian University of Athens in Greece. Their research spans multiple fields of study, primarily within Computer Science and Engineering. Theodoridis has contributed extensively to subfields including Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, and Electrical and Electronic Engineering.

Their work encompasses several main topics such as Anomaly Detection Techniques and Applications, Gaussian Processes and Bayesian Inference, Machine Learning and Algorithms, Neural Networks and Applications, Sparse and Compressive Sensing Techniques, Bayesian Methods and Mixture Models, and Image and Signal Denoising Methods.

Theodoridis has authored numerous publications, with frequent dissemination in venues like arXiv (Cornell University), IEEE Journal of Selected Topics in Signal Processing, IEEE Transactions on Signal Processing, Zenodo (CERN European Organization for Nuclear Research), and IT Professional.

Recent papers authored or co-authored by Theodoridis include:

  • "Toward the 6G Network Era: Opportunities and Challenges," 2020, IT Professional
  • "FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing," 2020, IEEE Open Journal of Signal Processing
  • "Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling," 2022, IEEE Signal Processing Magazine
  • "Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series," 2020, IEEE Transactions on Signal Processing
  • "Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using the Generalized Hyperbolic Prior," 2022, IEEE Transactions on Signal Processing

Theodoridis frequently collaborates with several researchers, including Ahmed H. Tewfik, Athina P. Petropulu, Shrikanth Narayanan, Tülay Adalı, and Sotirios Chatzis, with multiple joint publications alongside each.

Recognition of Theodoridis' contributions includes honors such as Fellow of the Royal Society of Edinburgh in 2009 and IEEE Fellow in 2008, the latter awarded specifically for contributions to the design of adaptive signal processing systems.

Best Publications

  • Pattern Recognition, Third Edition

    Sergios Theodoridis;Konstantinos Koutroumbas

  • Machine Learning: A Bayesian and Optimization Perspective

    Sergios Theodoridis

  • Pattern Recognition, Fourth Edition

    Sergios Theodoridis;Konstantinos Koutroumbas

  • Introduction to Pattern Recognition: A Matlab Approach

    Sergios Theodoridis;Aggelos Pikrakis;Konstantinos Koutroumbas;Dionisis Cavouras

  • A geometric approach to Support Vector Machine (SVM) classification

    M.E. Mavroforakis;S. Theodoridis

  • Efficient least squares adaptive algorithms for FIR transversal filtering

    G.-O. Glentis;K. Berberidis;S. Theodoridis

  • Neural Networks and Deep Learning

    Unknown

  • Review: Preamble-based channel estimation in OFDM/OQAM systems: A review

    Eleftherios Kofidis;Dimitrios Katselis;Athanasios Rontogiannis;Sergios Theodoridis

  • Adaptive Learning in a World of Projections

    Sergios Theodoridis;Konstantinos Slavakis;Isao Yamada

  • Pattern recognition and neural networks

    Sergios Theodoridis;Konstantinos Koutroumbas

  • Adaptive system identification and signal processing algorithms

    Nicholas Kalouptsidis;Sergios Theodoridis

  • Toward the 6G Network Era: Opportunities and Challenges

    Ioannis Tomkos;Dimitrios Klonidis;Evangelos Pikasis;Sergios Theodoridis

  • Extension of Wirtinger's Calculus to Reproducing Kernel Hilbert Spaces and the Complex Kernel LMS

    Pantelis Bouboulis;Sergios Theodoridis

  • FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing

    Feng Yin;Zhidi Lin;Qinglei Kong;Yue Xu

  • Adaptive Robust Distributed Learning in Diffusion Sensor Networks

    S. Chouvardas;K. Slavakis;S. Theodoridis

  • Online Sparse System Identification and Signal Reconstruction Using Projections Onto Weighted $ll_{1}$ Balls

    Yannis Kopsinis;Konstantinos Slavakis;Sergios Theodoridis

  • A fully automated scheme for mammographic segmentation and classification based on breast density and asymmetry

    Stylianos D. Tzikopoulos;Michael E. Mavroforakis;Harris V. Georgiou;Nikos Dimitropoulos

  • Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling

    Unknown

  • Violence content classification using audio features

    Theodoros Giannakopoulos;Dimitrios Kosmopoulos;Andreas Aristidou;Sergios Theodoridis

  • Keyword-guided word spotting in historical printed documents using synthetic data and user feedback

    T. Konidaris;B. Gatos;K. Ntzios;I. Pratikakis

  • Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiers

    Michael E. Mavroforakis;Harris V. Georgiou;Nikos Dimitropoulos;Dionisis Cavouras

  • A novel efficient cluster-based MLSE equalizer for satellite communication channels with M-QAM signaling

    Eleftherios Kofidis;Vassilis Dalakas;Yannis Kopsinis;Sergios Theodoridis

Frequent Co-Authors

Isao Yamada
Isao Yamada Tokyo Institute of Technology
Athina P. Petropulu
Athina P. Petropulu Rutgers, The State University of New Jersey
Rabab K. Ward
Rabab K. Ward University of British Columbia
Stavros J. Perantonis
Stavros J. Perantonis Demokritos National Centre for Scientific Research
Rama Chellappa
Rama Chellappa Johns Hopkins University
Abdelhak M. Zoubir
Abdelhak M. Zoubir Technical University of Darmstadt
Fulvio Gini
Fulvio Gini University of Pisa
Stephen McLaughlin
Stephen McLaughlin Heriot-Watt University
Georgios B. Giannakis
Georgios B. Giannakis University of Minnesota
Sergio Barbarossa
Sergio Barbarossa Sapienza University of Rome

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in Electronics and Electrical Engineering, diversifying skills with complementary online degrees can open new career doors. Many professionals pursue the quickest online project management degree to gain crucial leadership and organizational skills, accelerating their path to management roles within technical fields.

Similarly, obtaining a project management bachelor degree can provide a solid foundation for those aiming to manage engineering projects, budgets, and teams effectively. These programs combine technical expertise with practical management strategies tailored for engineers.

Many working adults appreciate the flexibility of online degrees for working adults. These programs are designed to fit busy schedules, allowing students to advance their education without sacrificing their current job responsibilities.

Additionally, pursuing an instructional design masters online offers a unique pathway for engineers interested in training development or educational technology roles. This degree equips graduates to design effective learning experiences, a growing need in technical industries.

Best Scientists Citing Sergios Theodoridis

Trending Scientists

Recently Published Articles