World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
9550
World Ranking
8676
National Ranking
125

Overview

Gonzalo Pajares is affiliated with the Complutense University of Madrid in Spain. Their research spans across the fields of Computer Science and Engineering, with a particular focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Media Technology, and Oral Surgery.

The scientist's work covers a range of main topics, including:

  • Advanced Neural Network Applications
  • Image Enhancement Techniques
  • Robotics and Sensor-Based Localization
  • Advanced Vision and Imaging
  • Industrial Vision Systems and Defect Detection
  • Explainable Artificial Intelligence (XAI)
  • Machine Learning and Data Classification

Gonzalo Pajares has contributed to several recent research papers, highlighting diverse applications of artificial intelligence and computer vision:

  • Automatic computation of mandibular indices in dental panoramic radiographs for early osteoporosis detection, 2020, published in Artificial Intelligence in Medicine
  • Semantic segmentation based on Deep learning for the detection of Cyanobacterial Harmful Algal Blooms (CyanoHABs) using synthetic images, 2023, published in Applied Soft Computing
  • Filter pruning for convolutional neural networks in semantic image segmentation, 2023, published in Neural Networks
  • Artificial Intelligence Techniques for Automatic Detection of Peri-implant Marginal Bone Remodeling in Intraoral Radiographs, 2023, published in Journal of Digital Imaging
  • UAV Landing Platform Recognition Using Cognitive Computation Combining Geometric Analysis and Computer Vision Techniques, 2022, published in Cognitive Computation

The scientist frequently publishes in venues such as Applied Soft Computing, Artificial Intelligence in Medicine, Neural Networks, Journal of Digital Imaging, and Cognitive Computation.

Gonzalo Pajares has collaborated with several coauthors multiple times, which include:

  • Eva Besada-Portas
  • María J. Gómez-Silva
  • Clara I. López-González
  • Fredy Barrientos-Espillco
  • Diego Oliva

Best Publications

  • A wavelet-based image fusion tutorial

    Gonzalo Pajares;Jesús Manuel de la Cruz

  • Overview and Current Status of Remote Sensing Applications Based on Unmanned Aerial Vehicles (UAVs)

    Gonzalo Pajares

  • Parameter identification of solar cells using artificial bee colony optimization

    Diego Oliva;Erik Cuevas;Gonzalo Pajares

  • Original paper: Automatic segmentation of relevant textures in agricultural images

    M. Guijarro;G. Pajares;I. Riomoros;P. J. Herrera

  • Original paper: Real-time image processing for crop/weed discrimination in maize fields

    Xavier P. Burgos-Artizzu;Angela Ribeiro;Maria Guijarro;Gonzalo Pajares

  • Support Vector Machines for crop/weeds identification in maize fields

    J. M. Guerrero;G. Pajares;M. Montalvo;J. Romeo

  • Automatic detection of crop rows in maize fields with high weeds pressure

    M. Montalvo;G. Pajares;J. M. Guerrero;J. Romeo

  • A computer vision approach for weeds identification through Support Vector Machines

    Alberto Tellaeche;Gonzalo Pajares;Xavier P. Burgos-Artizzu;Angela Ribeiro

  • A vision-based method for weeds identification through the Bayesian decision theory

    Alberto Tellaeche;Xavier P. Burgos-Artizzu;Gonzalo Pajares;Angela Ribeiro

  • A new vision-based approach to differential spraying in precision agriculture

    Alberto Tellaeche;Xavier P. BurgosArtizzu;Gonzalo Pajares;Angela Ribeiro

  • Cross entropy based thresholding for magnetic resonance brain images using Crow Search Algorithm

    Diego Oliva;Salvador Hinojosa;Erik Cuevas;Gonzalo Pajares

  • A Multilevel Thresholding algorithm using electromagnetism optimization

    Diego Oliva;Erik Cuevas;Gonzalo Pajares;Daniel Zaldivar

  • Multilevel Thresholding Segmentation Based on Harmony Search Optimization

    Diego Oliva;Erik Cuevas;Gonzalo Pajares;Daniel Zaldivar

  • Automatic expert system based on images for accuracy crop row detection in maize fields

    J. M. Guerrero;M. Guijarro;M. Montalvo;J. Romeo

  • Improving weed pressure assessment using digital images from an experience-based reasoning approach

    Xavier P. Burgos-Artizzu;Angela Ribeiro;Alberto Tellaeche;Gonzalo Pajares

  • A Hopfield Neural Network for Image Change Detection

    G. Pajares

  • Analysis of natural images processing for the extraction of agricultural elements

    Xavier P. Burgos-Artizzu;Angela Ribeiro;Alberto Tellaeche;Gonzalo Pajares

  • Automatic expert system for weeds/crops identification in images from maize fields

    M. Montalvo;J. M. Guerrero;J. Romeo;L. Emmi

  • A new Expert System for greenness identification in agricultural images

    J. Romeo;G. Pajares;M. Montalvo;J.M. Guerrero

  • Multi-UAV target search using decentralized gradient-based negotiation with expected observation

    Pablo Lanillos;Seng Keat Gan;Eva Besada-Portas;Gonzalo Pajares

Frequent Co-Authors

Angela Ribeiro
Angela Ribeiro Spanish National Research Council
Diego Oliva
Diego Oliva University of Guadalajara
Erik Cuevas
Erik Cuevas University of Guadalajara
Marco Pérez-Cisneros
Marco Pérez-Cisneros University of Guadalajara
Sebastián Dormido
Sebastián Dormido National University of Distance Education
Angel A. Juan
Angel A. Juan Universitat Politècnica de València
Joachim Denzler
Joachim Denzler Friedrich Schiller University Jena
Salah Sukkarieh
Salah Sukkarieh University of Sydney
Raúl Rojas
Raúl Rojas Freie Universität Berlin
Francisca López-Granados
Francisca López-Granados Spanish National Research Council

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