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Computer Science
Portugal
2026

D-Index & Metrics

Computer Science

D-Index
73
Citations
28152
World Ranking
1558
National Ranking
2

Research.com Recognitions

  • 2026 - Research.com Computer Science in Portugal Leader Award
  • 2025 - Research.com Computer Science in Portugal Leader Award
  • 2023 - Research.com Computer Science in Portugal Leader Award
  • 2022 - Research.com Computer Science in Portugal Leader Award
  • 2021 - IEEE Fellow for contributions to mining data streams
  • 2020 - Fellow of the European Association for Artificial Intelligence (EurAI)

Overview

João Gama is affiliated with the University of Porto in Portugal and has contributed extensively to the fields of Computer Science and Engineering. Their research spans several subfields, with a primary focus on Artificial Intelligence, followed by Control and Systems Engineering, Management Science and Operations Research, Signal Processing, and Transportation.

Their main research topics include Data Stream Mining Techniques, Anomaly Detection Techniques and Applications, Imbalanced Data Classification Techniques, Time Series Analysis and Forecasting, Machine Learning and Data Classification, Human Mobility and Location-Based Analysis, and Network Security and Intrusion Detection.

João Gama has been frequently published in several venues, including:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Data Mining and Knowledge Discovery
  • Annals of Telecommunications
  • Zenodo (CERN European Organization for Nuclear Research)

Recent papers authored or co-authored by João Gama include:

  • "Artificial intelligence, cyber-threats and Industry 4.0: challenges and opportunities" (2021), published in Artificial Intelligence Review
  • "Methods and tools for causal discovery and causal inference" (2022), published in Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
  • "Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods" (2020), published in Mathematics
  • "Host-based IDS: A review and open issues of an anomaly detection system in IoT" (2022), published in Future Generation Computer Systems
  • "Data stream analysis: Foundations, major tasks and tools" (2021), published in Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery

The scientist frequently collaborates with other researchers such as Bruno Veloso, Rita P. Ribeiro, Albert Bifet, Thiago Andrade, and Ana Rita Nogueira.

In addition to journal articles, João Gama has contributed to books published by Springer Science+Business Media, including titles such as:

  • ECML PKDD 2020 Workshops (2020)
  • Advances in Knowledge Discovery and Data Mining (2022)
  • Advances in Intelligent Data Analysis XIX (2021)
  • Multiple editions of Advances in Knowledge Discovery and Data Mining (2022)

Best Publications

  • A survey on concept drift adaptation

    João Gama;Indrė Žliobaitė;Albert Bifet;Mykola Pechenizkiy

  • Learning with Drift Detection

    João Gama;Pedro Medas;Gladys Castillo;Gladys Castillo;Pedro Pereira Rodrigues

  • Learning under Concept Drift: A Review

    Jie Lu;Anjin Liu;Fan Dong;Feng Gu

  • Ensemble learning for data stream analysis

    Bartosz Krawczyk;Leandro L. Minku;Joo Gama;Jerzy Stefanowski

  • Knowledge Discovery from Data Streams.

    João Gama;Pedro Pereira Rodrigues;Eduardo Jaques Spinosa;André Carlos Ponce de Leon Ferreira de Carvalho

  • Predicting Taxi–Passenger Demand Using Streaming Data

    Luis Moreira-Matias;Joao Gama;Michel Ferreira;Joao Mendes-Moreira

  • Data stream clustering: A survey

    Jonathan A. Silva;Elaine R. Faria;Rodrigo C. Barros;Eduardo R. Hruschka

  • On evaluating stream learning algorithms

    João Gama;Raquel Sebastião;Pedro Pereira Rodrigues

  • Event labeling combining ensemble detectors and background knowledge

    Hadi Fanaee-T;Joao Gama

  • An Overview of Concept Drift Applications

    Indrė Žliobaitė;Indrė Žliobaitė;Indrė Žliobaitė;Mykola Pechenizkiy;João Gama

  • Knowledge discovery from data streams

    João Gama;Auroop Ganguly;Olufemi Omitaomu;Raju Vatsavai

  • Issues in evaluation of stream learning algorithms

    João Gama;Raquel Sebastião;Pedro Pereira Rodrigues

  • Cascade Generalization

    João Gama;Pavel Brazdil

  • Accurate decision trees for mining high-speed data streams

    João Gama;Ricardo Rocha;Pedro Medas

  • Inteligência artificial: uma abordagem de aprendizado de máquina

    Katti Faceli;Ana Carolina Lorena;João Gama;André Carlos Ponce de Leon Ferreira de Carvalho

  • Functional Trees

    João Gama

  • Social network analysis: An overview

    Shazia Tabassum;Fabiola S. F. Pereira;Sofia Fernandes;João Gama

  • Learning model trees from evolving data streams

    Elena Ikonomovska;João Gama;Sašo Džeroski

  • A review on the combination of binary classifiers in multiclass problems

    Ana Carolina Lorena;André C. Carvalho;João M. Gama

  • Learning from Data Streams: Processing Techniques in Sensor Networks

    Joao Gama;Mohamed Medhat Gaber

  • Knowledge discovery in databases : pkdd 2005

    Alípio Mário Jorge;Luís Torgo;Pavel Brazdil;Rui Camacho

Frequent Co-Authors

André C. P. L. F. de Carvalho
André C. P. L. F. de Carvalho Universidade de São Paulo
Mohamed Medhat Gaber
Mohamed Medhat Gaber Birmingham City University
Albert Bifet
Albert Bifet University of Waikato
Shonali Krishnaswamy
Shonali Krishnaswamy Monash University
Vladimiro Miranda
Vladimiro Miranda University of Porto
Ricardo J. Bessa
Ricardo J. Bessa University of Porto
Nitesh V. Chawla
Nitesh V. Chawla University of Notre Dame
Donato Malerba
Donato Malerba University of Bari Aldo Moro
Michelangelo Ceci
Michelangelo Ceci University of Bari Aldo Moro
Mykola Pechenizkiy
Mykola Pechenizkiy Eindhoven University of Technology

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