Marcus Gallagher

Marcus Gallagher publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Marcus Gallagher sits on this spectrum.

Marcus Gallagher D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Marcus Gallagher sits on this spectrum.

Best Publications

• E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT.

  Wai Weng Lo;Siamak Layeghy;Mohanad Sarhan;Marcus Gallagher

  298
  Citations

• Feature Extraction for Machine Learning-based Intrusion Detection in IoT Networks.

  Mohanad Sarhan;Siamak Layeghy;Nour Moustafa;Marcus Gallagher

  153
  Citations

• General cost functions for support vector regression.

  AJ Smola;B Schölkopf;K-R Müller;T. Downs

  139
  Citations

• A general-purpose tunable landscape generator

  M. Gallagher;Bo Yuan

  136
  Citations

• Experimental results for the special session on real-parameter optimization at CEC 2005: a simple, continuous EDA

  Bo Yuan;M. Gallagher

  119
  Citations

• Real-valued evolutionary optimization using a flexible probability density estimator

  Marcus Gallagher;Marcus Frean;Tom Downs

  105
  Citations

• Learning to play Pac-Man: an evolutionary, rule-based approach

  M. Gallagher;A. Ryan

  103
  Citations

• On the importance of diversity maintenance in estimation of distribution algorithms

  Bo Yuan;Marcus Gallagher

  91
  Citations

• Statistical racing techniques for improved empirical evaluation of evolutionary algorithms

  Bo Yuan;Marcus Gallagher

  85
  Citations

• Intelligent Data Engineering and Automated Learning - IDEAL 2005

  Marcus Gallagher;James P. Hogan;Frederic Maire

  81
  Citations

• From zero-shot machine learning to zero-day attack detection

  Unknown

  80
  Citations

• Reinforcement Learning in First Person Shooter Games

  Michelle McPartland;Marcus Gallagher

  74
  Citations

• Multi-layer Perceptron Error Surfaces: Visualization, Structure and Modelling

  Marcus Reginald Gallagher

  70
  Citations

• Playing in continuous spaces: some analysis and extension of population-based incremental learning

  Bo Yuan;M. Gallagher

  66
  Citations

• An influence map model for playing Ms. Pac-Man

  N. Wirth;M. Gallagher

  59
  Citations

• Sampling Techniques and Distance Metrics in High Dimensional Continuous Landscape Analysis: Limitations and Improvements

  Rachael Morgan;Marcus Gallagher

  58
  Citations

• Visualization of learning in multilayer perceptron networks using principal component analysis

  M. Gallagher;T. Downs

  57
  Citations

• Combining Meta-EAs and Racing for Difficult EA Parameter Tuning Tasks

  Bo Yuan;Marcus Gallagher

  57
  Citations

• Population-Based Continuous Optimization, Probabilistic Modelling and Mean Shift

  Marcus Gallagher;Marcus Frean

  56
  Citations

• Use of freely available datasets and machine learning methods in predicting deforestation

  Helen Mayfield;Carl Smith;Marcus Gallagher;Marc Hockings

  44
  Citations