World's Best Scientists 2026 revealed!
Wouter Saeys

Wouter Saeys

D-Index & Metrics

Engineering and Technology

D-Index
63
Citations
14930
World Ranking
1758
National Ranking
21

Wouter Saeys 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 Wouter Saeys 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: 374 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Wouter Saeys 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 Wouter Saeys 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: 63 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Overview

Wouter Saeys is affiliated with KU Leuven in Belgium and works primarily within the fields of Agricultural and Biological Sciences, Chemistry, and Engineering. Their research spans a variety of subfields including Analytical Chemistry, Plant Science, Animal Science and Zoology, Biomedical Engineering, and Biophysics.

The main topics covered in their work include:

  • Spectroscopy and Chemometric Analyses
  • Meat and Animal Product Quality
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Advanced Chemical Sensor Technologies
  • Leaf Properties and Growth Measurement
  • Water Quality Monitoring and Analysis
  • Remote Sensing in Agriculture

Wouter Saeys has contributed to numerous publication venues, with a particular focus on:

  • Postharvest Biology and Technology
  • Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy
  • Acta Horticulturae
  • Biosystems Engineering
  • Chemometrics and Intelligent Laboratory Systems

Some of their recent papers include:

  • Hyperspectral imaging technology for quality and safety evaluation of horticultural products: A review and celebration of the past 20-year progress, 2020, Postharvest Biology and Technology
  • Influence of Environmental Factors Light, CO2, Temperature, and Relative Humidity on Stomatal Opening and Development: A Review, 2020, Agronomy
  • Closing the Phenotyping Gap: High Resolution UAV Time Series for Soybean Growth Analysis Provides Objective Data from Field Trials, 2020, Remote Sensing
  • Application of multivariate data analysis for food quality investigations: An example-based review, 2021, Food Research International
  • Online milk composition analysis with an on-farm near-infrared sensor, 2020, Computers and Electronics in Agriculture

Their frequent coauthors include:

  • Ben Aernouts
  • Jose A. Diaz-Olivares
  • Ines Adriaens
  • Bart Nicolaı̈
  • Annelies Postelmans

Best Publications

  • Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review

    Bart M. Nicolaï;Katrien Beullens;Els Bobelyn;Ann Peirs

  • Potential for Onsite and Online Analysis of Pig Manure using Visible and Near Infrared Reflectance Spectroscopy

    Wouter Saeys;Abdul Mounem Mouazen;Herman Ramon

  • NIR spectroscopy applications for internal and external quality analysis of citrus fruit - A review

    Lembe S. Magwaza;Umezuruike Linus Opara;Hélène Nieuwoudt;Paul J. R. Cronje

  • Postharvest quality of apple predicted by NIR-spectroscopy: Study of the effect of biological variability on spectra and model performance

    Els Bobelyn;Anca-Sabina Serban;Mihai Nicu;Jeroen Lammertyn

  • Robust Trajectory Tracking Error Model-Based Predictive Control for Unmanned Ground Vehicles

    Erkan Kayacan;Herman Ramon;Wouter Saeys

  • Nondestructive Measurement of Fruit and Vegetable Quality

    Bart M. Nicolaï;Thijs Defraeye;Bart De Ketelaere;Els Herremans

  • Study of polymer concentration and evaporation time as phase inversion parameters for polysulfone-based SRNF membranes

    Agnieszka K. Hołda;Ben Aernouts;Wouter Saeys;Ivo F.J. Vankelecom

  • Time-resolved and continuous wave NIR reflectance spectroscopy to predict soluble solids content and firmness of pear

    Bart M. Nicolaï;Bert E. Verlinden;Michèle Desmet;Stijn Saevels

  • Hyperspectral imaging technology for quality and safety evaluation of horticultural products: A review and celebration of the past 20-year progress

    Yuzhen Lu;Wouter Saeys;Moon Kim;Yankun Peng

  • Optical properties of apple skin and flesh in the wavelength range from 350 to 2200 nm

    Wouter Saeys;Maria A Velazco-Roa;Suresh N Thennadil;Herman Ramon

  • Measurement of optical properties of fruits and vegetables: A review

    Renfu Lu;Robbe Van Beers;Wouter Saeys;Changying Li

  • Visible and near-infrared spectroscopic analysis of raw milk for cow health monitoring: reflectance or transmittance?

    Ben Aernouts;Evgeny Polshin;Jeroen Lammertyn;Wouter Saeys

  • Adaptive Neuro-Fuzzy Control of a Spherical Rolling Robot Using Sliding-Mode-Control-Theory-Based Online Learning Algorithm

    Erkan Kayacan;Erdal Kayacan;Herman Ramon;Wouter Saeys

  • Lameness Detection in Dairy Cows: Part 1. How to Distinguish between Non-Lame and Lame Cows Based on Differences in Locomotion or Behavior.

    Annelies Van Nuffel;Ingrid Zwertvaegher;Liesbet Pluym;Stephanie Van Weyenberg

  • Simulation of grain-straw separation by Discrete Element Modeling with bendable straw particles

    Bart Lenaerts;Thomas Aertsen;Engelbert Tijskens;Bart De Ketelaere

  • Detection of red and bicoloured apples on tree with an RGB-D camera

    Tien Thanh Nguyen;Koenraad Vandevoorde;Niels Wouters;Erdal Kayacan

  • Estimation of the crop density of small grains using LiDAR sensors

    W. Saeys;B. Lenaerts;G. Craessaerts;J. De Baerdemaeker

  • Multivariate calibration of NIR spectroscopic sensors for continuous glucose monitoring

    Mohammad Goodarzi;Sandeep Sharma;Herman Ramon;Wouter Saeys

  • Combination of chemometric tools and image processing for bruise detection on apples

    Juan Xing;Wouter Saeys;Josse De Baerdemaeker

  • Multivariate calibration of spectroscopic sensors for postharvest quality evaluation: A review

    Wouter Saeys;Nghia Nguyen Do Trong;Robbe Van Beers;Bart M. Nicolaï

  • Non-destructive detection of blackspot in potatoes by Vis-NIR and SWIR hyperspectral imaging

    Ainara López-Maestresalas;Janos C. Keresztes;Mohammad Goodarzi;Silvia Arazuri

  • Application of visible and near-infrared reflectance spectroscopy (Vis/NIRS) to determine carotenoid contents in banana (Musa spp.) fruit pulp.

    Mark W Davey;Wouter Saeys;Ellen Hof;Herman Ramon

Frequent Co-Authors

Bart Nicolai
Bart Nicolai KU Leuven
Herman Ramon
Herman Ramon KU Leuven
Erdal Kayacan
Erdal Kayacan Aarhus University
Ben Somers
Ben Somers KU Leuven
Abdul Mounem Mouazen
Abdul Mounem Mouazen Ghent University
Isabel Roldán-Ruiz
Isabel Roldán-Ruiz Ghent University
Sam Millet
Sam Millet Ghent University
Moritz Diehl
Moritz Diehl University of Freiburg

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