World's Best Scientists 2026 revealed!
Javier Ramírez

Javier Ramírez

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Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
59
Citations
12022
World Ranking
3471
National Ranking
44

Research.com Recognitions

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

Overview

Javier Ramírez is affiliated with the University of Granada in Spain and has a research focus spanning Medicine, Computer Science, and Engineering. Their interdisciplinary approach combines expertise in key subfields such as Neurology, Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience, and Radiology, Nuclear Medicine and Imaging.

The main topics addressed in their research portfolio include:

  • Functional Brain Connectivity Studies
  • Parkinson's Disease Mechanisms and Treatments
  • Neurological disorders and treatments
  • Anomaly Detection Techniques and Applications
  • COVID-19 diagnosis using AI
  • EEG and Brain-Computer Interfaces
  • Medical Image Segmentation Techniques

Ramírez has contributed to multiple scientific journals and venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • International Journal of Neural Systems
  • Information Fusion
  • Neurocomputing
  • Expert Systems with Applications

Notable recent papers include:

  • "Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation" (2020), published in Information Fusion
  • "Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications" (2020), published in Neurocomputing
  • "Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends" (2023), published in Information Fusion
  • "Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy" (2020), published in Neurocomputing
  • "Uncertainty-driven ensembles of multi-scale deep architectures for image classification" (2022), published in Information Fusion

Throughout their career, Javier Ramírez has collaborated extensively with several scientists across intersecting fields. Frequent co-authors include:

  • J. M. Górriz
  • Francisco J. Martínez-Murcia
  • Andrés Ortíz
  • Juan E. Arco
  • C. Jiménez-Mesa

Best Publications

  • Efficient voice activity detection algorithms using long-term speech information

    Javier Ramírez;José C. Segura;M. Carmen Benítez;Ángel de la Torre

  • Advances in Multimodal Data Fusion in Neuroimaging: Overview, Challenges, and Novel Orientation

    Yu-Dong Zhang;Yu-Dong Zhang;Zhengchao Dong;Shui-Hua Wang;Shui-Hua Wang;Shui-Hua Wang;Xiang Yu

  • Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer’s Disease

    Andrés Ortiz;Jorge Munilla;Juan Manuel Górriz;Javier Ramírez

  • Voice Activity Detection. Fundamentals and Speech Recognition System Robustness

    J. Ramírez;J. M. Górriz;J. C. Segura

  • Early diagnosis of Alzheimer׳s disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images

    Laila Khedher;Javier Ramírez;Juan Manuel Górriz;Abdelbasset Brahim

  • Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

    Juan M. Górriz;Juan M. Górriz;Javier Ramírez;Andrés Ortíz;Francisco J. Martínez-Murcia

  • Statistical voice activity detection using a multiple observation likelihood ratio test

    J. Ramirez;J.C. Segura;C. Benitez;L. Garcia

  • Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders

    Francisco J. Martinez-Murcia;Andres Ortiz;Juan-Manuel Gorriz;Javier Ramirez

  • Computer-aided diagnosis of Alzheimer's type dementia combining support vector machines and discriminant set of features

    J. RamíRez;J. M. GóRriz;D. Salas-Gonzalez;A. Romero

  • NMF-SVM Based CAD Tool Applied to Functional Brain Images for the Diagnosis of Alzheimer's Disease

    P. Padilla;M. Lopez;J. M. Gorriz;J. Ramirez

  • 18F-FDG PET imaging analysis for computer aided Alzheimer's diagnosis

    I. A. Illán;J. M. Górriz;J. Ramírez;D. Salas-Gonzalez

  • Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's disease

    M. López;J. Ramírez;J. M. Górriz;I. Álvarez

  • SVM-based computer-aided diagnosis of the Alzheimer's disease using t-test NMSE feature selection with feature correlation weighting

    R. Chaves;J. Ramírez;J.M. Górriz;M. López

  • A Novel LMS Algorithm Applied to Adaptive Noise Cancellation

    J.M. Gorriz;J. Ramirez;S. Cruces-Alvarez;C.G. Puntonet

  • Continuous HMM-Based Seismic-Event Classification at Deception Island, Antarctica

    M.C. Benitez;J. Ramirez;J.C. Segura;J.M. Ibanez

  • SVM-based CAD System for Early Detection of the Alzheimer's Disease Using Kernel PCA and LDA

    M.M. López;J. Ramírez;J.M. Górriz;I. Álvarez

  • Computer aided diagnosis system for the Alzheimer's disease based on partial least squares and random forest SPECT image classification

    J. Ramírez;J.M. Górriz;F. Segovia;R. Chaves

  • Two fully-unsupervised methods for MR brain image segmentation using SOM-based strategies

    A. Ortiz;J. M. GóRriz;J. RamíRez;D. Salas-GonzáLez

  • An effective subband OSF-based VAD with noise reduction for robust speech recognition

    J. Ramirez;J.C. Segura;C. Benitez;A. de la Torre

  • Automatic assistance to Parkinson's disease diagnosis in DaTSCAN SPECT imaging.

    I. A. Illán;J. M. Górriz;J. Ramírez;F. Segovia

  • SVM-based speech endpoint detection using contextual speech features

    J. Ramirez;P. Yelamos;J.M. Gorriz;J.C. Segura

Frequent Co-Authors

Juan Manuel Górriz
Juan Manuel Górriz University of Granada
Diego Salas-Gonzalez
Diego Salas-Gonzalez University of Granada
Carlos G. Puntonet
Carlos G. Puntonet University of Granada
Elmar Lang
Elmar Lang University of Regensburg
Shuihua Wang
Shuihua Wang Xi’an Jiaotong-Liverpool University
Yudong Zhang
Yudong Zhang University of Leicester
Christophe Phillips
Christophe Phillips University of Liège
Deniz Erdogmus
Deniz Erdogmus Northeastern University
Jesús M. Ibáñez
Jesús M. Ibáñez University of Granada
Meng-Chuan Lai
Meng-Chuan Lai Centre for Addiction and Mental Health

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