2026 Amparo Alonso-Betanzos: 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	41	8677	8428	126	124	256	9515

Amparo Alonso-Betanzos 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 Amparo Alonso-Betanzos sits on this spectrum.

32 publications 991+

This scientist: 256 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Amparo Alonso-Betanzos 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 Amparo Alonso-Betanzos sits on this spectrum.

30 D-Index 131+

This scientist: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Amparo Alonso-Betanzos is affiliated with the University of A Coruña in Spain and has contributed extensively to the field of Computer Science, with a particular focus on Artificial Intelligence. Their scholarly output includes 64 publications primarily centered around machine learning, data classification, and related domains.

The research spans several subfields, including:

Artificial Intelligence
Computer Vision and Pattern Recognition
Computer Networks and Communications
Information Systems
Molecular Biology

Main topics addressed in their research include:

Machine Learning and Data Classification
Anomaly Detection Techniques and Applications
Explainable Artificial Intelligence (XAI)
Imbalanced Data Classification Techniques
Recommender Systems and Techniques
Advanced Image and Video Retrieval Techniques
Caching and Content Delivery

Among the recent papers authored or coauthored by Amparo Alonso-Betanzos are:

"A review of green artificial intelligence: Towards a more sustainable future", 2024, Neurocomputing
"Community detection and social network analysis based on the Italian wars of the 15th century", 2020, Future Generation Computer Systems
"Scalable feature selection using ReliefF aided by locality-sensitive hashing", 2021, International Journal of Intelligent Systems
"Applying machine learning to detect early stages of cardiac remodelling and dysfunction", 2020, European Heart Journal - Cardiovascular Imaging
"How important is data quality? Best classifiers vs best features", 2021, Neurocomputing

Frequent collaboration partners in their work include:

Bertha Guijarro-Berdiñas
Verónica Bolón-Canedo
Brais Cancela
Carlos Eiras-Franco
Jorge Paz-Ruza

Their publications have appeared in several notable venues, notably:

arXiv (Cornell University)
Procedia Computer Science
Neurocomputing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Expert Systems

Best Publications

A review of feature selection methods on synthetic data

Verónica Bolón-Canedo;Noelia Sánchez-Maroño;Amparo Alonso-Betanzos

983
Citations
A review of microarray datasets and applied feature selection methods

V. Bolón-Canedo;N. Sánchez-Maroño;A. Alonso-Betanzos;J. M. Benítez

753
Citations
Filter methods for feature selection: a comparative study

Noelia Sánchez-Maroño;Amparo Alonso-Betanzos;María Tombilla-Sanromán

515
Citations
Ensembles for feature selection: A review and future trends

Verónica Bolón-Canedo;Amparo Alonso-Betanzos

513
Citations
Feature selection for high-dimensional data

Unknown

427
Citations
Feature Selection for High-Dimensional Data

Vernica Boln-Canedo;Noelia Snchez-Maroo;Amparo Alonso-Betanzos

352
Citations
Recent advances and emerging challenges of feature selection in the context of big data

V. Bolón-Canedo;N. Sánchez-Maroño;A. Alonso-Betanzos

351
Citations
Ensemble feature selection: Homogeneous and heterogeneous approaches

Borja Seijo-Pardo;Iago Porto-Díaz;Verónica Bolón-Canedo;Amparo Alonso-Betanzos

297
Citations
Feature selection and classification in multiple class datasets

V. Bolón-Canedo;N. Sánchez-Maroño;A. Alonso-Betanzos

261
Citations
Automatic bearing fault diagnosis based on one-class ν -SVM

Diego FernáNdez-Francos;David MartíNez-Rego;Oscar Fontenla-Romero;Amparo Alonso-Betanzos

221
Citations
An ensemble of filters and classifiers for microarray data classification

V. BolóN-Canedo;N. SáNchez-MaroñO;A. Alonso-Betanzos

219
Citations
Distributed feature selection

V. Bolón-Canedo;N. Sánchez-Maroño;A. Alonso-Betanzos

217
Citations
Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data

Sergio Ramírez-Gallego;Iago Lastra;David Martínez-Rego;Verónica Bolón-Canedo

208
Citations
An intelligent system for forest fire risk prediction and fire fighting management in Galicia

Amparo Alonso-Betanzos;Oscar Fontenla-Romero;Bertha Guijarro-Berdiñas;Elena Hernández-Pereira

191
Citations
Data discretization: taxonomy and big data challenge

Sergio Ramírez-Gallego;Salvador García;Héctor Mouriño-Talín;David Martínez-Rego;David Martínez-Rego

182
Citations
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis

Enrique Castillo;Bertha Guijarro-Berdiñas;Oscar Fontenla-Romero;Amparo Alonso-Betanzos

172
Citations
A new method for sleep apnea classification using wavelets and feedforward neural networks

Oscar Fontenla-Romero;Bertha Guijarro-Berdiñas;Amparo Alonso-Betanzos;Vicente Moret-Bonillo

130
Citations
An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark

Sergio Ramirez-Gallego;Hector Mourino-Talin;David Martinez-Rego;Veronica Bolon-Canedo

112
Citations
Data classification using an ensemble of filters

V. Bolón-Canedo;N. Sánchez-Maroño;A. Alonso-Betanzos

110
Citations
A framework for cost-based feature selection

Verónica Bolón-Canedo;Iago Porto-Díaz;Noelia Sánchez-Maroño;Amparo Alonso-Betanzos

109
Citations
On developing an automatic threshold applied to feature selection ensembles

Borja Seijo-Pardo;Verónica Bolón-Canedo;Amparo Alonso-Betanzos

87
Citations

Frequent Co-Authors

Verónica Bolón-Canedo University of A Coruña

Enrique Castillo University of Cantabria

Jose C. Principe University of Florida

Francisco Herrera University of Granada

Deniz Erdogmus Northeastern University

José Manuel Benítez University of Granada

Alicia Troncoso Pablo de Olavide University

Linda Steg University of Groningen

David Uzzell University of Surrey

Tarsy Carballas Spanish National Research Council

External Links

Personal website of Amparo Alonso-Betanzos

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