World's Best Scientists 2026 revealed!
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Electronics and Electrical Engineering
Switzerland
2026
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Computer Science
Switzerland
2025

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
94
Citations
46226
World Ranking
244
National Ranking
7

Computer Science

D-Index
94
Citations
46262
World Ranking
478
National Ranking
13

Ali H. Sayed 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 Ali H. Sayed 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: 689 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Ali H. Sayed 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 Ali H. Sayed 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: 94 D-Index — 96th percentile

96% 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

  • 2026 - Research.com Electronics and Electrical Engineering in Switzerland Leader Award
  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in Switzerland Leader Award
  • 2018 - Member of the National Academy of Engineering For contributions to the theory and applications of adaptive signal processing.
  • 2012 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2001 - IEEE Fellow For contributions to adaptive filtering and estimation algorithms.

Overview

Ali H. Sayed is affiliated with École Polytechnique Fédérale de Lausanne in Switzerland. The primary field of research is Computer Science, with a focus spread across subfields such as Artificial Intelligence, Computer Networks and Communications, Statistical and Nonlinear Physics, Computational Mechanics, and Management Science and Operations Research.

The researcher's work covers several central topics including:

  • Distributed Sensor Networks and Detection Algorithms
  • Distributed Control Multi-Agent Systems
  • Opinion Dynamics and Social Influence
  • Stochastic Gradient Optimization Techniques
  • Complex Network Analysis Techniques
  • Privacy-Preserving Technologies in Data
  • Sparse and Compressive Sensing Techniques

Frequent publication venues where Ali H. Sayed's research appears include:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • IEEE Spectrum
  • IEEE Open Journal of Signal Processing
  • IEEE Transactions on Information Theory

The scientist has contributed to multiple papers of note, including:

  • "Revisiting correlation-based functional connectivity and its relationship with structural connectivity," 2020, Network Neuroscience
  • "Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning," 2020, IEEE Signal Processing Magazine
  • "On the Influence of Bias-Correction on Distributed Stochastic Optimization," 2020, IEEE Transactions on Signal Processing
  • "Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization," 2020, IEEE Transactions on Signal Processing
  • "Affine Combination of Diffusion Strategies Over Networks," 2020, IEEE Transactions on Signal Processing

Ali H. Sayed frequently collaborates with several coauthors, among them:

  • Stefan Vlaski
  • Mert Kayaalp
  • Vincenzo Matta
  • Virgínia Bordignon
  • Cecilia Metra

The researcher is also credited with book publications, notably a series titled Inference and Learning from Data, published by Cambridge University Press in 2022.

Recognitions include memberships and fellowships as follows:

  • Member of the National Academy of Engineering (2018) for contributions to the theory and applications of adaptive signal processing
  • Fellow of the American Association for the Advancement of Science (2012)
  • IEEE Fellow (2001) for contributions to adaptive filtering and estimation algorithms

Best Publications

  • Fundamentals of adaptive filtering

    Ali H. Sayed

  • Network-based wireless location: challenges faced in developing techniques for accurate wireless location information

    A.H. Sayed;A. Tarighat;N. Khajehnouri

  • Adaptive Filters

    Ali H. Sayed

  • Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks

    Zhi Quan;Shuguang Cui;A.H. Sayed

  • Diffusion LMS Strategies for Distributed Estimation

    F.S. Cattivelli;A.H. Sayed

  • Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance Analysis

    C.G. Lopes;A.H. Sayed

  • A Leakage-Based Precoding Scheme for Downlink Multi-User MIMO Channels

    M. Sadek;A. Tarighat;A.H. Sayed

  • Diffusion Strategies for Distributed Kalman Filtering and Smoothing

    F S Cattivelli;A H Sayed

  • Optimal Multiband Joint Detection for Spectrum Sensing in Cognitive Radio Networks

    Zhi Quan;Shuguang Cui;A.H. Sayed;H.V. Poor

  • Incremental Adaptive Strategies Over Distributed Networks

    C.G. Lopes;A.H. Sayed

  • Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks

    Jianshu Chen;Ali H. Sayed

  • Variable step-size NLMS and affine projection algorithms

    Hyun-Chool Shin;A.H. Sayed;Woo-Jin Song

  • Diffusion recursive least-squares for distributed estimation over adaptive networks

    F.S. Cattivelli;C.G. Lopes;A.H. Sayed

  • A state-space approach to adaptive RLS filtering

    A.H. Sayed;T. Kailath

  • Adaptation, Learning, and Optimization Over Networks

    Ali Sayed

  • Indefinite-quadratic estimation and control: a unified approach to H 2 and H ∞ theories

    Babak Hassibi;Ali H. Sayed;Thomas Kailath

  • Displacement structure: theory and applications

    Thomas Kailath;Ali H. Sayed

  • Multi-input multi-output fading channel tracking and equalization using Kalman estimation

    C. Komninakis;C. Fragouli;A.H. Sayed;R.D. Wesel

  • Adaptive Networks

    Ali H. Sayed

  • Mean-square performance of a convex combination of two adaptive filters

    J. Arenas-Garcia;A.R. Figueiras-Vidal;A.H. Sayed

Frequent Co-Authors

Thomas Kailath
Thomas Kailath Stanford University
Babak Hassibi
Babak Hassibi California Institute of Technology
Cedric Richard
Cedric Richard Université Côte d'Azur
Naofal Al-Dhahir
Naofal Al-Dhahir The University of Texas at Dallas
Tareq Y. Al-Naffouri
Tareq Y. Al-Naffouri King Abdullah University of Science and Technology
Shuguang Cui
Shuguang Cui Chinese University of Hong Kong, Shenzhen
Sergio Barbarossa
Sergio Barbarossa Sapienza University of Rome
Abdelhak M. Zoubir
Abdelhak M. Zoubir Technical University of Darmstadt
Jingon Joung
Jingon Joung Chung-Ang University

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