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Computer Science

D-Index
43
Citations
11388
World Ranking
7820
National Ranking
17

Electronics and Electrical Engineering

D-Index
43
Citations
11318
World Ranking
3817
National Ranking
17

Overview

Joao Barros is affiliated with the University of Porto in Portugal. Their research spans multiple fields including Education, Condensed Matter Physics, Nuclear and High Energy Physics, Cognitive Neuroscience, and Psychiatry and Mental Health.

The scientist's work is distributed across various topics including Education Pedagogy and Practices, EEG and Brain-Computer Interfaces, Attention Deficit Hyperactivity Disorder, Markov Chains and Monte Carlo Methods, Theoretical and Computational Physics, Stochastic Processes and Statistical Mechanics, and Quantum Chromodynamics and Particle Interactions.

Joao Barros has contributed to several recent publications:

  • Towards the Application of Skewed Detailed Balance in Lattice Gauge Theories, 2023, Proceedings of The 39th International Symposium on Lattice Field Theory - PoS(LATTICE2022)
  • Neurofeedback treatment for Attention Deficit Hyperactivity Disorder in adults, 2024, European Psychiatry
  • Unleashing the potential of health data: from vision to reality in the HealthData@EU Pilot Project, 2025, European Journal of Public Health

Frequent publication venues include:

  • European Journal of Public Health
  • Proceedings of The 39th International Symposium on Lattice Field Theory - PoS(LATTICE2022)
  • Caderno Pedagógico
  • European Psychiatry
  • Bulletin of Entomological Research

Among frequent co-authors are:

  • Waléria de Jesus Barbosa Soares
  • Jadiel Carlos Asevedo Silva
  • Francisco das Chagas Soares
  • Beatriz Martín-Fernández
  • Elaine Leandro Machado

The interdisciplinary nature of Barros's work is reflected in the range of topics and venues. Contributions to both theoretical physics and health-related fields demonstrate a diverse research portfolio.

Best Publications

  • Wireless Information-Theoretic Security

    M. Bloch;J. Barros;M.R.D. Rodrigues;S.W. McLaughlin

  • Physical-Layer Security: From Information Theory to Security Engineering

    Matthieu Bloch;Joo Barros

  • Secrecy Capacity of Wireless Channels

    Joao Barros;Miguel D. Rodrigues

  • Impact of Vehicles as Obstacles in Vehicular Ad Hoc Networks

    M Boban;T T V Vinhoza;M Ferreira;J Barros

  • Network Coding Meets TCP: Theory and Implementation

    Jay Kumar Sundararajan;Devavrat Shah;Muriel Médard;Szymon Jakubczak

  • Network Coding Meets TCP

    J. K. Sundararajan;D. Shah;M. Medard;M. Mitzenmacher

  • LDPC Codes for the Gaussian Wiretap Channel

    D. Klinc;Jeongseok Ha;S. W. McLaughlin;J. Barros

  • Geometry-Based Vehicle-to-Vehicle Channel Modeling for Large-Scale Simulation

    Mate Boban;João Barros;Ozan K. Tonguz

  • Experimental study on the impact of vehicular obstructions in VANETs

    Rui Meireles;Mate Boban;Peter Steenkiste;Ozan Tonguz

  • Network information flow with correlated sources

    J. Barros;S.D. Servetto

  • Wireless Secrecy Regions With Friendly Jamming

    João P Vilela;Matthieu Bloch;João Barros;Steven W McLaughlin

  • Coding for Secrecy: An Overview of Error-Control Coding Techniques for Physical-Layer Security

    W. K. Harrison;J. Almeida;M. R. Bloch;S. W. McLaughlin

  • Random Linear Network Coding: A free cipher?

    L. Lima;M. Medard;J. Barros

  • Secure Communication in Stochastic Wireless Networks—Part I: Connectivity

    Pedro C. Pinto;Joao Barros;Moe Z. Win

  • PortoLivingLab: An IoT-Based Sensing Platform for Smart Cities

    Pedro M. Santos;Joao G. P. Rodrigues;Susana B. Cruz;Tiago Lourenco

  • Lightweight Security for Network Coding

    J.P. Vilela;L. Lima;J. Barros

  • Effective Delay Control in Online Network Coding

    J. Barros;R. A. Costa;D. Munaretto;J. Widmer

  • Secure Communication in Stochastic Wireless Networks—Part II: Maximum Rate and Collusion

    Pedro C. Pinto;Joao Barros;Moe Z. Win

  • Secure network coding for multi-resolution wireless video streaming

    L. Lima;S. Gheorghiu;J. Barros;M. Medard

  • LDPC codes for the Gaussian wiretap channel

    Demijan Kline;Jeongseok Ha;Steven W. McLaughlin;Joao Barros

  • Geometry-Based Vehicle-to-Vehicle Channel Modeling for Large-Scale Simulation

    Mate Boban;Joao Barros;Ozan K. Tonguz

Frequent Co-Authors

Steven W. McLaughlin
Steven W. McLaughlin Georgia Institute of Technology
Matthieu R. Bloch
Matthieu R. Bloch Georgia Institute of Technology
Ozan K. Tonguz
Ozan K. Tonguz Carnegie Mellon University
Emina Soljanin
Emina Soljanin Rutgers, The State University of New Jersey
Miguel R. D. Rodrigues
Miguel R. D. Rodrigues University College London
Peter Steenkiste
Peter Steenkiste Carnegie Mellon University
Christian Bettstetter
Christian Bettstetter University of Klagenfurt

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