2026 Gabriela Ochoa: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	40	9196	8929	566	558	202	8002

Gabriela Ochoa 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 Gabriela Ochoa sits on this spectrum.

32 publications 991+

This scientist: 202 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Gabriela Ochoa 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 Gabriela Ochoa sits on this spectrum.

30 D-Index 131+

This scientist: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Gabriela Ochoa is affiliated with the University of Stirling in the United Kingdom. Their research primarily focuses on areas within computer science, particularly in the domains of artificial intelligence and computational theory and mathematics.

The main fields of study for Gabriela Ochoa include:

Computer Science

Within this broad field, their work spans several subfields such as:

Artificial Intelligence
Computational Theory and Mathematics
Genetics
Industrial and Manufacturing Engineering
Molecular Biology

The scientist's main research topics include:

Metaheuristic Optimization Algorithms Research
Evolutionary Algorithms and Applications
Advanced Multi-Objective Optimization Algorithms
Evolution and Genetic Dynamics
Gene Regulatory Network Analysis
Data Visualization and Analytics
Machine Learning and Data Classification

Gabriela Ochoa's publication record includes contributions to journals and conferences focused on evolutionary computation and optimization. Some of the recent papers authored or coauthored by them are:

Search trajectory networks: A tool for analysing and visualising the behaviour of metaheuristics, 2021, Applied Soft Computing
Fitness landscape analysis of convolutional neural network architectures for image classification, 2022, Information Sciences
A comparative analysis of two matheuristics by means of merged local optima networks, 2020, European Journal of Operational Research
Management responses in Belize and Honduras, as stony coral tissue loss disease expands its prevalence in the Mesoamerican reef, 2022, Frontiers in Marine Science
Understanding parameter spaces using local optima networks, 2021, Proceedings of the Genetic and Evolutionary Computation Conference Companion

The frequent coauthors collaborating with Gabriela Ochoa include:

Yuri Lavinas
Francisco Chicano
Christian Blum
Claus Aranha
Sebástien Vérel

Gabriela Ochoa has published extensively in venues such as:

Proceedings of the Genetic and Evolutionary Computation Conference
arXiv (Cornell University)
Proceedings of the Genetic and Evolutionary Computation Conference Companion
ACM SIGEVOlution
Zenodo (CERN European Organization for Nuclear Research)

The scientist's book publications include contributions to volumes published by Springer Science+Business Media, specifically:

Parallel Problem Solving from Nature - PPSN XVII (2022)
Parallel Problem Solving from Nature - PPSN XVII (2022)

Best Publications

Hyper-heuristics: a survey of the state of the art

Edmund K. Burke;Michel Gendreau;Matthew R. Hyde;Graham Kendall

1489
Citations
A Classification of Hyper-heuristic Approaches

Edmund K. Burke;Matthew Hyde;Graham Kendall;Gabriela Ochoa

747
Citations
Google Trends in Infodemiology and Infoveillance: Methodology Framework.

Amaryllis Mavragani;Gabriela Ochoa

464
Citations
Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review

Amaryllis Mavragani;Gabriela Ochoa;Konstantinos P Tsagarakis

374
Citations
Exploring Hyper-heuristic Methodologies with Genetic Programming

Edmund K. Burke;Mathew R. Hyde;Graham Kendall;Gabriela Ochoa

332
Citations
HyFlex: a benchmark framework for cross-domain heuristic search

Gabriela Ochoa;Matthew Hyde;Tim Curtois;Jose A. Vazquez-Rodriguez

213
Citations
A study of NK landscapes' basins and local optima networks

Gabriela Ochoa;Marco Tomassini;Sebástien Vérel;Christian Darabos

187
Citations
A Classification of Hyper-Heuristic Approaches: Revisited

Edmund K. Burke;Matthew R. Hyde;Graham Kendall;Gabriela Ochoa

169
Citations
A Reinforcement Learning-Great-Deluge Hyper-Heuristic for Examination Timetabling

Ender Özcan;Mustafa Misir;Gabriela Ochoa;Edmund K. Burke

166
Citations
Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms

Gisele L. Pappa;Gabriela Ochoa;Matthew R. Hyde;Alex A. Freitas

121
Citations
Effective learning hyper-heuristics for the course timetabling problem

Jorge A. Soria-Alcaraz;Gabriela Ochoa;Jerry Swan;Martin Carpio

111
Citations
Local Optima Networks of NK Landscapes With Neutrality

S. Verel;G. Ochoa;M. Tomassini

111
Citations
On Genetic Algorithms and Lindenmayer Systems

Gabriela Ochoa

111
Citations
Local Optima Networks: A New Model of Combinatorial Fitness Landscapes

Gabriela Ochoa;Sébastien Verel;Fabio Daolio;Marco Tomassini

98
Citations
Iterated local search vs. hyper-heuristics: Towards general-purpose search algorithms

Edmund Burke;Tim Curtois;Matthew Hyde;Graham Kendall

97
Citations
A unified hyper-heuristic framework for solving bin packing problems

Eunice López-Camacho;Hugo Terashima-Marin;Peter Ross;Gabriela Ochoa

92
Citations
An Integer Linear Programming approach to the single and bi-objective Next Release Problem

Nadarajen Veerapen;Gabriela Ochoa;Mark Harman;Edmund K. Burke

91
Citations
Search trajectory networks: A tool for analysing and visualising the behaviour of metaheuristics

Gabriela Ochoa;Katherine M Malan;Christian Blum

90
Citations
Analyzing the landscape of a graph based hyper-heuristic for timetabling problems

Gabriela Ochoa;Rong Qu;Edmund K. Burke

84
Citations
Error thresholds in genetic algorithms

Gabriela Ochoa

82
Citations
The Genetic and Evolutionary Computation Conference

Gabriela Ochoa;Edmund Burke

11
Citations
HyFlex: A Benchmark Framework for Cross-domain Heuristic Search

Edmund Burke;Tim Curtois;Matthew Hyde;Gabriela Ochoa

4
Citations

Frequent Co-Authors

Marco Tomassini University of Lausanne

Edmund K. Burke Bangor University

Graham Kendall MILA University

Natalio Krasnogor Newcastle University

Ender Özcan University of Nottingham

Christian Blum Spanish National Research Council

Michel Gendreau Polytechnique Montréal

L. Darrell Whitley Colorado State University

Marc Schoenauer French Institute for Research in Computer Science and Automation - INRIA

Inman Harvey University of Sussex

External Links

Personal website of Gabriela Ochoa Google Scholar page

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