World's Best Scientists 2026 revealed!
José Manuel Benítez

José Manuel Benítez

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Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
42
Citations
10644
World Ranking
8223
National Ranking
113

Research.com Recognitions

  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award

Overview

José Manuel Benítez is affiliated with the University of Granada in Spain. Their research spans multiple areas within medicine and computer science, with a focus on topics intersecting health and technology.

The main fields of study for José Manuel Benítez are Medicine and Computer Science. Within these areas, they have contributed notably to subfields such as Artificial Intelligence, Surgery, Epidemiology, Radiology, Nuclear Medicine and Imaging, and Genetics.

The research topics covered in their work include:

  • Microscopic Colitis
  • Time Series Analysis and Forecasting
  • Anomaly Detection Techniques and Applications
  • Inflammatory Bowel Disease
  • Complex Systems and Time Series Analysis
  • Advanced Neural Network Applications
  • Sports injuries and prevention

José Manuel Benítez has several recent publications relevant to these fields. Notable papers include:

  • "Multivariate times series classification through an interpretable representation," 2021, Information Sciences
  • "Complexity measures and features for times series classification," 2022, Expert Systems with Applications
  • "Optimizing Convolutional Neural Network Architectures," 2024, Mathematics
  • "The influence of limb role, direction of movement and limb dominance on movement strategies during block jump-landings in volleyball," 2021, Scientific Reports
  • "Can kinematic and kinetic differences between planned and unplanned volleyball block jump-landings be associated with injury risk factors?", 2020, Gait & Posture

The primary publication venues for their work include arXiv (Cornell University), Diagnostics, Gastroenterología y Hepatología, International Journal of Environmental Research and Public Health, and Revista Española de Enfermedades Digestivas.

Frequent co-authors in their research collaborations are:

  • Miguel Lastra
  • Luis Balderas
  • Antonio Jesús Láinez Ramos-Bossini
  • Francisco J. Baldán
  • Pilar Soto Escribano

Best Publications

  • On the use of cross-validation for time series predictor evaluation

    Christoph Bergmeir;José M. Benítez

  • Advances in Soft Computing

    Jose Manuel Benítez;Oscar Cordón;Frank Hoffmann;Rajkumar Roy

  • A review of microarray datasets and applied feature selection methods

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

  • Big data preprocessing: methods and prospects

    Salvador García;Sergio Ramírez-Gallego;Julián Luengo;José Manuel Benítez

  • Are artificial neural networks black boxes

    J.M. Benitez;J.L. Castro;I. Requena

  • On the use of MapReduce for imbalanced big data using Random Forest

    Sara del Río;Victoria López;José Manuel Benítez;Francisco Herrera

  • Neural Networks in R Using the Stuttgart Neural Network Simulator: RSNNS

    Christoph Bergmeir;José M. Benítez

  • Bagging exponential smoothing methods using STL decomposition and Box–Cox transformation

    Christoph Bergmeir;Rob J. Hyndman;José M. Benítez

  • Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks

    Alberto Fernández;Sara del Río;Victoria López;Abdullah Bawakid

  • Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data

    Victoria López;Sara del Río;José Manuel Benítez;Francisco Herrera

  • frbs: Fuzzy Rule-Based Systems for Classification and Regression in R

    Lala Septem Riza;Christoph Bergmeir;Francisco Herrera;Jose Manuel Benitez

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

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

  • Implementing algorithms of rough set theory and fuzzy rough set theory in the R package “RoughSets”

    Lala Septem Riza;Andrzej Janusz;Christoph Bergmeir;Chris Cornelis

  • Data discretization: taxonomy and big data challenge

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

  • Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms

    Rafael Alcalá;Jose M. Benítez;Jorge Casillas;Oscar Cordón

  • A survey on fingerprint minutiae-based local matching for verification and identification

    Daniel Peralta;Mikel Galar;Isaac Triguero;Daniel Paternain

  • Evolutionary Feature Selection for Big Data Classification: A MapReduce Approach

    Daniel Peralta;Sara del Río;Sergio Ramírez-Gallego;Isaac Triguero

  • Interpretation of artificial neural networks by means of fuzzy rules

    J.L. Castro;C.J. Mantas;J.M. Benitez

  • Artificial neural network-based equation for estimating VO2max from the 20m shuttle run test in adolescents

    Jonatan R. Ruiz;Jorge Ramirez-Lechuga;Francisco B. Ortega;José Castro-Piñero

  • Segmentation of cervical cell nuclei in high-resolution microscopic images

    Christoph Bergmeir;Miguel García Silvente;José Manuel Benítez

Frequent Co-Authors

Francisco Herrera
Francisco Herrera University of Granada
Isaac Triguero
Isaac Triguero University of Nottingham
Salvador García
Salvador García University of Granada
Verónica Bolón-Canedo
Verónica Bolón-Canedo University of A Coruña
Amparo Alonso-Betanzos
Amparo Alonso-Betanzos University of A Coruña
Mikel Galar
Mikel Galar Universidad Publica De Navarra
Alberto Fernández
Alberto Fernández University of Granada
Oscar Cordón
Oscar Cordón University of Granada
Yvan Saeys
Yvan Saeys Ghent University
Edurne Barrenechea
Edurne Barrenechea Universidad Publica De Navarra

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