D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 33 Citations 5,908 74 World Ranking 4126 National Ranking 109

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Botany

His primary areas of study are Machine vision, Artificial intelligence, Computer vision, Hyperspectral imaging and Multispectral image. His Machine vision study incorporates themes from Algorithm and Simulation. The concepts of his Artificial intelligence study are interwoven with issues in Citrus fruit and Pattern recognition.

His research investigates the connection with Computer vision and areas like Sorting which intersect with concerns in Contrast. His Hyperspectral imaging research is multidisciplinary, incorporating perspectives in Intensity, Artificial vision and Systems engineering. His Multispectral image study integrates concerns from other disciplines, such as Image quality, Independent component analysis and Data mining.

His most cited work include:

  • Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment (332 citations)
  • Erratum to: Advances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and Vegetables (291 citations)
  • AGATA - Advanced GAmma Tracking Array (258 citations)

What are the main themes of his work throughout his whole career to date?

José Blasco mainly investigates Artificial intelligence, Computer vision, Hyperspectral imaging, Machine vision and Pattern recognition. His biological study spans a wide range of topics, including Sorting and Citrus fruit. His work in the fields of Image segmentation and RGB color model overlaps with other areas such as Process and Automatic control.

José Blasco has researched Hyperspectral imaging in several fields, including Cultivar, Horticulture and Feature selection. His research in Machine vision intersects with topics in Simulation and Multispectral image. His work on Segmentation is typically connected to Cluster as part of general Pattern recognition study, connecting several disciplines of science.

He most often published in these fields:

  • Artificial intelligence (48.72%)
  • Computer vision (35.90%)
  • Hyperspectral imaging (30.77%)

What were the highlights of his more recent work (between 2018-2021)?

  • Hyperspectral imaging (30.77%)
  • Horticulture (8.55%)
  • Physical therapy (3.42%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Hyperspectral imaging, Horticulture, Physical therapy, Artificial intelligence and Agricultural engineering. His Hyperspectral imaging research integrates issues from Food quality and Multispectral image. His study on Olive trees, Inia and Diospyros kaki is often connected to Tetranychus urticae and Xylella fastidiosa as part of broader study in Horticulture.

His Physical therapy research focuses on Randomized controlled trial and how it connects with Postural Balance, Orthopedic surgery and Berg Balance Scale. His research on Artificial intelligence frequently links to adjacent areas such as Pattern recognition. The Pattern recognition study combines topics in areas such as Pixel and Random forest.

Between 2018 and 2021, his most popular works were:

  • Monitoring strategies for quality control of agricultural products using visible and near-infrared spectroscopy: A review (35 citations)
  • Visible-NIR ‘point’ spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use (31 citations)
  • Use of hyperspectral transmittance imaging to evaluate the internal quality of nectarines (11 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Botany

José Blasco mainly focuses on Horticulture, Hyperspectral imaging, Olive trees, Xylella fastidiosa and Diospyros kaki. Cultivar, Flesh, Prunus and Ripeness are the subjects of his Horticulture studies. His Hyperspectral imaging research includes elements of Scientific literature and Near-infrared spectroscopy.

José Blasco integrates many fields, such as Diospyros kaki and Astringent, in his works.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Erratum to: Advances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and Vegetables

Sergio Cubero;Nuria Aleixos;Enrique Moltó;Juan Gómez-Sanchis.
Food and Bioprocess Technology (2011)

503 Citations

Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment

D. Lorente;N. Aleixos;J. Gómez-Sanchis;S. Cubero.
Food and Bioprocess Technology (2012)

479 Citations

AGATA - Advanced GAmma Tracking Array

S. Akkoyun;A. Algora;B. Alikhani;F. Ameil.
Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment (2012)

465 Citations

Machine Vision System for Automatic Quality Grading of Fruit

José Blasco;Nuria Aleixos;Enrique Moltó.
Biosystems Engineering (2003)

399 Citations

Multispectral inspection of citrus in real-time using machine vision and digital signal processors

N. Aleixos;J. Blasco;F. Navarrón;E. Moltó.
Computers and Electronics in Agriculture (2002)

303 Citations

Computer vision detection of peel defects in citrus by means of a region oriented segmentation algorithm

J. Blasco;N. Aleixos;E. Moltó.
Journal of Food Engineering (2007)

255 Citations

Citrus sorting by identification of the most common defects using multispectral computer vision

J. Blasco;N. Aleixos;J. Gómez;E. Moltó.
Journal of Food Engineering (2007)

249 Citations

Development of a machine for the automatic sorting of pomegranate (Punica granatum) arils based on computer vision

J. Blasco;S. Cubero;J. Gómez-Sanchís;P. Mira.
Journal of Food Engineering (2009)

201 Citations

Automatic detection of skin defects in citrus fruits using a multivariate image analysis approach

Fernando López-García;Gabriela Andreu-García;José Blasco;Nuria Aleixos.
Computers and Electronics in Agriculture (2010)

195 Citations

AE—Automation and Emerging Technologies: Robotic Weed Control using Machine Vision

J. Blasco;N. Aleixos;J.M. Roger;G. Rabatel.
Biosystems Engineering (2002)

190 Citations

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