World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
13003
World Ranking
9962
National Ranking
303

Overview

Pablo Moscato is affiliated with the University of Newcastle Australia and contributes predominantly to the field of Computer Science. Their research spans various subfields including Artificial Intelligence, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Materials Chemistry, and Computer Networks and Communications. The body of work notably covers topics in Evolutionary Algorithms and Applications, Metaheuristic Optimization Algorithms Research, Neural Networks and Applications, as well as interdisciplinary studies involving Tryptophan and brain disorders, Vitamin D Research Studies, and Cancer, Stress, Anesthesia, and Immune Response.

They have published extensively in a range of academic venues. Frequent publication venues include:

  • Research Square (4 publications)
  • Scientific Reports (3 publications)
  • Expert Systems with Applications (2 publications)
  • Memetic Computing (2 publications)
  • Algorithms (2 publications)

Their recent papers illustrate a blend of computational methods and applied scientific research. Recent works include:

  • "Differential kynurenine pathway metabolism in highly metastatic aggressive breast cancer subtypes: beyond IDO1-induced immunosuppression" (2020) published in Breast Cancer Research
  • "Analytic Continued Fractions for Regression: A Memetic Algorithm Approach" (2021) published in Expert Systems with Applications
  • "Semi-supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs" (2022) published in Automated Software Engineering
  • "M-Link: a link clustering memetic algorithm for overlapping community detection" (2020) published in Memetic Computing
  • "Multiple regression techniques for modelling dates of first performances of Shakespeare-era plays" (2022) published in Expert Systems with Applications

Collaborations are a notable aspect of Pablo Moscato's work. Frequent co-authors include:

  • Mohammad Nazmul Haque (12 co-authored papers)
  • Nasimul Noman (4 co-authored papers)
  • Andrew Ciezak (4 co-authored papers)
  • Rafael Bartnik Grebogi (4 co-authored papers)
  • Benjamin Heng (2 co-authored papers)

Their research contributions reveal a strong inclination toward developing and applying memetic algorithms and evolutionary computation techniques. The interdisciplinary applications extend toward biological and medical domains, as evidenced by work related to cancer metabolomics and immune response research.

Overall, Pablo Moscato's work integrates computational theory, algorithm development, and applied sciences, with a substantial emphasis on optimization methods, neural networks, and complex network analysis techniques.

Best Publications

  • On Evolution, Search, Optimization, Genetic Algorithms and Martial Arts : Towards Memetic Algorithms

    P. Moscato

  • New Ideas In Optimization

    David Corne;Marco Dorigo;Fred Glover;Dipankar Dasgupta

  • Memetic algorithms: a short introduction

    Pablo Moscato

  • Genome-wide analysis of long noncoding RNA stability

    Michael B. Clark;Rebecca L. Johnston;Mario Inostroza-Ponta;Archa H. Fox

  • A Gentle Introduction to Memetic Algorithms

    Pablo Moscato;Carlos Cotta

  • Handbook of Memetic Algorithms

    Ferrante Neri;Carlos Cotta;Pablo Moscato

  • On the Rank of Extreme Matrices in Semidefinite Programs and the Multiplicity of Optimal Eigenvalues

    Pablo Moscato;Michael G. Norman;Gabor Pataki

  • Basal-like breast cancer: molecular profiles, clinical features and survival outcomes

    Heloisa H. Milioli;Inna Tishchenko;Carlos Riveros;Regina Berretta

  • A memetic algorithm for the total tardiness single machine scheduling problem

    Paulo M França;Alexandre Mendes;Pablo Moscato

  • Common variants at 6p21.1 are associated with large artery atherosclerotic stroke.

    Elizabeth G Holliday;Jane M Maguire;Jane M Maguire;Tiffany-jane Evans;Simon A Koblar;Simon A Koblar

  • Evolutionary algorithms for scheduling a flowshop manufacturing cell with sequence dependent family setups

    Paulo M. França;Jatinder N. D. Gupta;Alexandre S. Mendes;Pablo Moscato

  • Uncovering Molecular Biomarkers That Correlate Cognitive Decline with the Changes of Hippocampus' Gene Expression Profiles in Alzheimer's Disease

    Martín Gómez Ravetti;Martín Gómez Ravetti;Martín Gómez Ravetti;Osvaldo A. Rosso;Osvaldo A. Rosso;Osvaldo A. Rosso;Regina Berretta;Regina Berretta;Pablo Moscato;Pablo Moscato;Pablo Moscato

  • Blood metabolite markers of preclinical Alzheimer's disease in two longitudinally followed cohorts of older individuals.

    Ramon Casanova;Sudhir Varma;Brittany Simpson;Brittany Simpson;Min Gyu Kim

  • A New Memetic Algorithm for the Asymmetric Traveling Salesman Problem

    Luciana Buriol;Paulo M. França;Pablo Moscato

  • A Modern Introduction to Memetic Algorithms

    Pablo Moscato;Carlos Cotta

  • Identification of a 5-Protein Biomarker Molecular Signature for Predicting Alzheimer's Disease

    Martín Gómez Ravetti;Pablo Moscato

  • Identification of Differentially Expressed Genes through Integrated Study of Alzheimer's Disease Affected Brain Regions.

    Nisha Puthiyedth;Carlos Riveros;Regina Berretta;Pablo Moscato

  • Stochastic versus deterministic update in simulated annealing

    Pablo Moscato;J.F. Fontanari

  • An introduction to population approaches for optimization and hierarchical objective functions: a discussion on the role of tabu search

    Pablo Moscato

  • Comparing meta-heuristic approaches for parallel machine scheduling problems

    Alexandre S. Mendes;Felipe M. Müller;Paulo M. França;Pablo Moscato

Frequent Co-Authors

Osvaldo A. Rosso
Osvaldo A. Rosso National Scientific and Technical Research Council
Graeme J. Stewart
Graeme J. Stewart University of Sydney
Matthew A. Brown
Matthew A. Brown Guy's and St Thomas' NHS Foundation Trust
James S. Wiley
James S. Wiley University of Melbourne
Lyn R. Griffiths
Lyn R. Griffiths Queensland University of Technology
David R. Booth
David R. Booth University of Sydney
Melanie Bahlo
Melanie Bahlo Walter and Eliza Hall Institute of Medical Research
Elizabeth G. Holliday
Elizabeth G. Holliday University of Newcastle Australia
Simon J. Foote
Simon J. Foote Australian National University
Michael P. Pender
Michael P. Pender University of Queensland

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