World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
70
Citations
19101
World Ranking
918
National Ranking
384

Computer Science

D-Index
71
Citations
20153
World Ranking
1775
National Ranking
900

Alejandro Ribeiro 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 Alejandro Ribeiro 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: 447 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Alejandro Ribeiro 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 Alejandro Ribeiro 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: 70 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Overview

Alejandro Ribeiro is affiliated with the University of Pennsylvania in the United States. Their research primarily focuses on computer science, with a particular emphasis on artificial intelligence.

The scientist's work extensively covers subfields such as:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Computational Theory and Mathematics

Core topics in their research include:

  • Advanced Graph Neural Networks
  • Neural Networks and Applications
  • Stochastic Gradient Optimization Techniques
  • Reinforcement Learning in Robotics
  • Domain Adaptation and Few-Shot Learning
  • Complex Network Analysis Techniques
  • Machine Learning and Extreme Learning Machines (ELM)

Notable recent papers by Alejandro Ribeiro include:

  • Optimal Wireless Resource Allocation With Random Edge Graph Neural Networks (2020, IEEE Transactions on Signal Processing)
  • Stability Properties of Graph Neural Networks (2020, IEEE Transactions on Signal Processing)
  • Gated Graph Recurrent Neural Networks (2020, IEEE Transactions on Signal Processing)
  • Safe Policies for Reinforcement Learning via Primal-Dual Methods (2022, IEEE Transactions on Automatic Control)
  • On the Sample Complexity of Actor-Critic Method for Reinforcement Learning With Function Approximation (2023, Machine Learning)

Frequent coauthors in their publications include:

  • Luana Ruiz
  • Zhiyang Wang
  • Juan Cerviño
  • Luiz F. O. Chamon
  • Mark Eisen

Alejandro Ribeiro has published significantly in several venues, such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • IEEE Transactions on Automatic Control
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • IEEE Robotics and Automation Letters

Best Publications

  • Symbol error probabilities for general Cooperative links

    A. Ribeiro;Xiaodong Cai;G.B. Giannakis

  • Consensus in Ad Hoc WSNs With Noisy Links— Part I: Distributed Estimation of Deterministic Signals

    I.D. Schizas;A. Ribeiro;G.B. Giannakis

  • Bandwidth-constrained distributed estimation for wireless sensor Networks-part I: Gaussian case

    A. Ribeiro;G.B. Giannakis

  • SOI-KF: Distributed Kalman Filtering With Low-Cost Communications Using The Sign Of Innovations

    A. Ribeiro;G.B. Giannakis;S. Roumeliotis

  • Distributed compression-estimation using wireless sensor networks

    Jin-Jun Xiao;A. Ribeiro;Zhi-Quan Luo;G.B. Giannakis

  • Connecting the Dots: Identifying Network Structure via Graph Signal Processing

    Gonzalo Mateos;Santiago Segarra;Antonio G. Marques;Alejandro Ribeiro

  • Optimal Power Management in Wireless Control Systems

    Konstantinos Gatsis;Alejandro Ribeiro;George J. Pappas

  • Decentralized Dynamic Optimization Through the Alternating Direction Method of Multipliers

    Qing Ling;Alejandro Ribeiro

  • Convolutional Neural Network Architectures for Signals Supported on Graphs

    Fernando Gama;Antonio G. Marques;Geert Leus;Alejandro Ribeiro

  • Bandwidth-constrained distributed estimation for wireless sensor networks-part II: unknown probability density function

    A. Ribeiro;G.B. Giannakis

  • Optimal Wireless Resource Allocation With Random Edge Graph Neural Networks

    Mark Eisen;Alejandro Ribeiro

  • Sampling of Graph Signals With Successive Local Aggregations

    Antonio G. Marques;Santiago Segarra;Geert Leus;Alejandro Ribeiro

  • Network Topology Inference from Spectral Templates

    Santiago Segarra;Antonio G. Marques;Gonzalo Mateos;Alejandro Ribeiro

  • Graph Neural Networks for Decentralized Multi-Robot Path Planning

    Qingbiao Li;Fernando Gama;Alejandro Ribeiro;Amanda Prorok

  • Optimal Graph-Filter Design and Applications to Distributed Linear Network Operators

    Santiago Segarra;Antonio G. Marques;Alejandro Ribeiro

  • A Graph Signal Processing Perspective on Functional Brain Imaging

    Weiyu Huang;Thomas A. W. Bolton;John D. Medaglia;Danielle S. Bassett

  • Learning Optimal Resource Allocations in Wireless Systems

    Mark Eisen;Clark Zhang;Luiz F. O. Chamon;Daniel D. Lee

  • Stationary Graph Processes and Spectral Estimation

    Antonio G. Marques;Santiago Segarra;Geert Leus;Alejandro Ribeiro

  • Consensus in Ad Hoc WSNs With Noisy Links—Part II: Distributed Estimation and Smoothing of Random Signals

    I.D. Schizas;G.B. Giannakis;S.I. Roumeliotis;A. Ribeiro

  • Functional Alignment with Anatomical Networks is Associated with Cognitive Flexibility.

    John D. Medaglia;Weiyu Huang;Elisabeth A. Karuza;Apoorva Kelkar

  • Stability Properties of Graph Neural Networks

    Fernando Gama;Joan Bruna;Alejandro Ribeiro

  • DLM: Decentralized Linearized Alternating Direction Method of Multipliers

    Qing Ling;Wei Shi;Gang Wu;Alejandro Ribeiro

Frequent Co-Authors

Aryan Mokhtari
Aryan Mokhtari The University of Texas at Austin
Georgios B. Giannakis
Georgios B. Giannakis University of Minnesota
George J. Pappas
George J. Pappas University of Pennsylvania
Geert Leus
Geert Leus Delft University of Technology
Qing Ling
Qing Ling Sun Yat-sen University
Stergios I. Roumeliotis
Stergios I. Roumeliotis University of Minnesota
Joan Bruna
Joan Bruna New York University
Michael M. Zavlanos
Michael M. Zavlanos Duke University
Danielle S. Bassett
Danielle S. Bassett University of Pennsylvania

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