World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
53
Citations
10756
World Ranking
3396
National Ranking
71

José Blasco publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where José Blasco sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 169 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

José Blasco D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where José Blasco sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 53 D-Index — 66th percentile

66% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

José Blasco is a researcher affiliated with the University of Valencia in Spain, specializing in Agricultural and Biological Sciences and Chemistry. Their research portfolio spans a range of topics focused primarily on spectroscopy and its applications in agriculture and food science.

Their main topics of work include:

  • Spectroscopy and Chemometric Analyses
  • Smart Agriculture and AI
  • Postharvest Quality and Shelf Life Management
  • Water Quality Monitoring and Analysis
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Date Palm Research Studies
  • Remote Sensing in Agriculture

José Blasco's research fields are distributed mainly between Analytical Chemistry, Plant Science, Industrial and Manufacturing Engineering, Food Science, and Biophysics. This interdisciplinary approach supports the integration of advanced analytical techniques with agricultural applications.

Their publication record features contributions to frequent venues such as:

  • Postharvest Biology and Technology
  • Food Control
  • Agronomy
  • Computers and Electronics in Agriculture
  • Agriculture

Some notable recent papers authored by José Blasco include:

  • "Visible-NIR 'point' spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use," 2020, Postharvest Biology and Technology
  • "Application of deep convolutional neural networks for the detection of anthracnose in olives using VIS/NIR hyperspectral images," 2021, Computers and Electronics in Agriculture
  • "RobHortic: A Field Robot to Detect Pests and Diseases in Horticultural Crops by Proximal Sensing," 2020, Agriculture
  • "Discrimination of common defects in loquat fruit cv. 'Algerie' using hyperspectral imaging and machine learning techniques," 2020, Postharvest Biology and Technology
  • "Computer vision applied to food and agricultural products," 2020, Ciência Agronômica/Revista ciência agronômica

Frequent co-authors collaborating with José Blasco include:

  • Sergio Cubero
  • Sandra Munera
  • Nuria Aleixos
  • Juan Gómez-Sanchís
  • Salvador Castillo-Gironés

Best Publications

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

    Delia Lorente;Nuria Aleixos;Juan Gómez-Sanchís;Sergio Cubero

  • AGATA - Advanced GAmma Tracking Array

    S. Akkoyun;A. Algora;B. Alikhani;F. Ameil

  • 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

  • Machine Vision System for Automatic Quality Grading of Fruit

    José Blasco;Nuria Aleixos;Enrique Moltó

  • Visible-NIR ‘point’ spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use

    Kerry B. Walsh;José Blasco;Manuela Zude-Sasse;Xudong Sun

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

    N. Aleixos;J. Blasco;F. Navarrón;E. Moltó

  • Monitoring strategies for quality control of agricultural products using visible and near-infrared spectroscopy: A review

    Victoria Cortés;José Blasco;Nuria Aleixos;Sergio Cubero

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

    J. Blasco;N. Aleixos;J. Gómez;E. Moltó

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

    J. Blasco;N. Aleixos;E. Moltó

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

    Fernando López-García;Gabriela Andreu-García;José Blasco;Nuria Aleixos

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

    J. Blasco;N. Aleixos;J.M. Roger;G. Rabatel

  • 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

  • Hyperspectral system for early detection of rottenness caused by Penicillium digitatum in mandarins

    J. Gómez-Sanchis;L. Gómez-Chova;N. Aleixos;G. Camps-Valls

  • In-line sorting of irregular potatoes by using automated computer-based machine vision system

    Gamal ElMasry;Sergio Cubero;Enrique Moltó;José Blasco

  • Early detection of mechanical damage in mango using NIR hyperspectral images and machine learning

    Nayeli Vélez Rivera;Juan Gómez-Sanchis;Jorge Chanona-Pérez;Juan José Carrasco

  • Brucellosis Vaccines: Assessment of Brucella melitensis Lipopolysaccharide Rough Mutants Defective in Core and O-Polysaccharide Synthesis and Export

    David González;María-Jesús Grilló;María-Jesús De Miguel;Tara Ali

  • Recognition and classification of external skin damage in citrus fruits using multispectral data and morphological features

    J. Blasco;N. Aleixos;J. Gómez-Sanchís;E. Moltó

  • Comparison of three algorithms in the classification of table olives by means of computer vision

    R. Diaz;L. Gil;C. Serrano;M. Blasco

  • Automatic correction of the effects of the light source on spherical objects. An application to the analysis of hyperspectral images of citrus fruits

    J. Gómez-Sanchis;E. Moltó;G. Camps-Valls;L. Gómez-Chova

  • Selection of Optimal Wavelength Features for Decay Detection in Citrus Fruit Using the ROC Curve and Neural Networks

    Delia Lorente;Nuria Aleixos;Juan Gómez-Sanchis;Sergio Cubero

Frequent Co-Authors

Javier Tardáguila
Javier Tardáguila University of La Rioja
Emilio Soria-Olivas
Emilio Soria-Olivas University of Valencia
Da-Wen Sun
Da-Wen Sun University College Dublin
Gustau Camps-Valls
Gustau Camps-Valls University of Valencia
Luis Gómez-Chova
Luis Gómez-Chova University of Valencia
Alberto Ferrer
Alberto Ferrer Universitat Politècnica de València
Javier Ibáñez
Javier Ibáñez University of La Rioja
Alberto Urbaneja
Alberto Urbaneja Spanish National Research Council
Lluís Palou
Lluís Palou Instituto Valenciano de Investigaciones Agrarias
Sébastien Perrier
Sébastien Perrier University of Warwick

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