2026 Jose A. Lozano: 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	58	3541	3441	47	45	342	22257

Jose A. Lozano 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 Jose A. Lozano sits on this spectrum.

32 publications 991+

This scientist: 342 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Jose A. Lozano 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 Jose A. Lozano sits on this spectrum.

30 D-Index 131+

This scientist: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

2025 - Research.com Computer Science in Spain Leader Award
2022 - Research.com Computer Science in Spain Leader Award
2021 - IEEE Fellow For contributions to the estimation of distribution algorithms in evolutionary computation

Overview

Jose A. Lozano is affiliated with the Basque Center for Applied Mathematics in Spain and has a research record concentrated primarily in the field of Computer Science, with 141 publications. Their subfields of study notably include Artificial Intelligence, Computational Theory and Mathematics, Signal Processing, Industrial and Manufacturing Engineering, and Computer Networks and Communications.

Their research covers a range of topics, including:

Anomaly Detection Techniques and Applications
Metaheuristic Optimization Algorithms Research
Time Series Analysis and Forecasting
Adversarial Robustness in Machine Learning
Data Stream Mining Techniques
Advanced Multi-Objective Optimization Algorithms
Network Security and Intrusion Detection

Jose A. Lozano has contributed to various publication venues, frequently publishing in:

arXiv (Cornell University)
ACM Computing Surveys
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Knowledge and Data Engineering
Knowledge-Based Systems

Among recent papers are:

A Review on Outlier/Anomaly Detection in Time Series Data, 2021, ACM Computing Surveys
Probabilistic Load Forecasting Based on Adaptive Online Learning, 2021, IEEE Transactions on Power Systems
An efficient K-means clustering algorithm for tall data, 2020, Data Mining and Knowledge Discovery
Mutual information based feature subset selection in multivariate time series classification, 2020, Pattern Recognition
Optimization of Deep Learning Precipitation Models Using Categorical Binary Metrics, 2020, Journal of Advances in Modeling Earth Systems

Jose A. Lozano has collaborated frequently with several co-authors including Roberto Santana, Aritz Pérez, Josu Ceberio, Usue Mori, and Iñaki Inza, reflecting a network of ongoing research partnerships.

In addition, they have contributed to book publications under Springer Science+Business Media, with six titles mainly from 2021. These include works focused on machine learning and knowledge discovery in databases as well as program analysis.

Jose A. Lozano received the IEEE Fellow award in 2021 for contributions to the estimation of distribution algorithms in evolutionary computation.

Best Publications

Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation

Pedro Larraanaga;Jose A. Lozano

3105
Citations
Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation

J.D. Rodriguez;A. Perez;J.A. Lozano

1999
Citations
Estimation of Distribution Algorithms

Pedro Larrañaga;Jose A. Lozano

1596
Citations
Parallel Problem Solving from Nature - PPSN VIII

Xin Yao;Edmund K. Burke;José A. Lozano;Jim Smith

1520
Citations
An empirical comparison of four initialization methods for the K-Means algorithm

J.M Peña;J.A Lozano;P Larrañaga

1213
Citations
Machine learning in bioinformatics

Pedro Larrañaga;Borja Calvo;Roberto Santana;Concha Bielza

1039
Citations
A Review on Outlier/Anomaly Detection in Time Series Data

Ane Blázquez-García;Angel Conde;Usue Mori;Jose A. Lozano

789
Citations
A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments

Tania Lorido-Botran;Jose Miguel-Alonso;Jose A. Lozano

785
Citations
Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms (Studies in Fuzziness and Soft Computing)

Jose A. Lozano;Pedro Larrañaga;Iñaki Inza;Endika Bengoetxea

504
Citations
Towards a New Evolutionary Computation

Jose A. Lozano;Pedro Larrañaga;Iñaki Inza;Endika Bengoetxea

483
Citations
Differential micro RNA expression in PBMC from multiple sclerosis patients.

David Otaegui;Sergio E. Baranzini;Rubén Armañanzas;Borja Calvo

305
Citations
Optimization in Continuous Domains by Learning and Simulation of Gaussian Networks

Pedro Larrañaga;Ramón Etxeberria;Jose Antonio Lozano;Jose Manuel Peña

282
Citations
A review on distance based time series classification

Amaia Abanda;Amaia Abanda;Usue Mori;José Antonio Lozano;José Antonio Lozano

281
Citations
A review of travel time estimation and forecasting for Advanced Traveller Information Systems

Usue Mori;Alexander Mendiburu;Maite Álvarez;Jose Antonio Lozano

270
Citations
An efficient approximation to the K-means clustering for massive data

Marco Capó;Aritz Pérez;Jose A. Lozano

253
Citations
Multi-start Methods.

Rafael Martí;José Antonio Lozano;Alexander Mendiburu;Leticia Hernando

241
Citations
Protein Folding in Simplified Models With Estimation of Distribution Algorithms

R. Santana;P. Larranaga;J.A. Lozano

182
Citations
Auto-scaling Techniques for Elastic Applications in Cloud Environments

Tania Lorido-Botrán;José Miguel-Alonso;Jose Antonio Lozano

170
Citations
Spacecraft trajectory optimization: A review of models, objectives, approaches and solutions

Abolfazl Shirazi;Josu Ceberio;Jose A. Lozano;Jose A. Lozano

166
Citations
Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers

Jonathan Ortigosa-Hernández;Juan Diego Rodríguez;Leandro Alzate;Manuel Lucania

162
Citations
Combinatorial optimization by learning and simulation of Bayesian networks

Pedro Larrañaga;Ramon Etxeberria;Jose Antonio Lozano;Jose Manuel Peña

158
Citations

Frequent Co-Authors

Pedro Larrañaga Technical University of Madrid

Iñaki Inza University of the Basque Country

Christian Blum Spanish National Research Council

Mariano Alcañiz Universitat Politècnica de València

Javier Del Ser University of the Basque Country

Eleazar Eskin University of California, Los Angeles

Manuel Graña University of the Basque Country

Xin Yao Lingnan University

Concha Bielza Technical University of Madrid

Cristina Botella Jaume I University

External Links

Personal website of Jose A. Lozano Google Scholar page

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