World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
71
Citations
20153
World Ranking
1775
National Ranking
899

Electronics and Electrical Engineering

D-Index
70
Citations
19101
World Ranking
918
National Ranking
383

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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