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 Pablo Moscato sits on this spectrum.
This scientist: 198 publications — 46th percentile
46% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
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 Pablo Moscato sits on this spectrum.
This scientist: 38 D-Index — 30th percentile
30% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
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:
Their recent papers illustrate a blend of computational methods and applied scientific research. Recent works include:
Collaborations are a notable aspect of Pablo Moscato's work. Frequent co-authors include:
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.
P. Moscato
David Corne;Marco Dorigo;Fred Glover;Dipankar Dasgupta
Pablo Moscato
Michael B. Clark;Rebecca L. Johnston;Mario Inostroza-Ponta;Archa H. Fox
Pablo Moscato;Carlos Cotta
Ferrante Neri;Carlos Cotta;Pablo Moscato
Pablo Moscato;Michael G. Norman;Gabor Pataki
Heloisa H. Milioli;Inna Tishchenko;Carlos Riveros;Regina Berretta
Paulo M França;Alexandre Mendes;Pablo Moscato
Elizabeth G Holliday;Jane M Maguire;Jane M Maguire;Tiffany-jane Evans;Simon A Koblar;Simon A Koblar
Paulo M. França;Jatinder N. D. Gupta;Alexandre S. Mendes;Pablo Moscato
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
Ramon Casanova;Sudhir Varma;Brittany Simpson;Brittany Simpson;Min Gyu Kim
Luciana Buriol;Paulo M. França;Pablo Moscato
Pablo Moscato;Carlos Cotta
Martín Gómez Ravetti;Pablo Moscato
Nisha Puthiyedth;Carlos Riveros;Regina Berretta;Pablo Moscato
Pablo Moscato;J.F. Fontanari
Pablo Moscato
Alexandre S. Mendes;Felipe M. Müller;Paulo M. França;Pablo Moscato
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