World's Best Scientists 2026 revealed!
Peter Goos

Peter Goos

D-Index & Metrics

Mathematics

D-Index
35
Citations
5466
World Ranking
2769
National Ranking
37

Engineering and Technology

D-Index
38
Citations
5993
World Ranking
8037
National Ranking
98

Peter Goos publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Peter Goos sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 257 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Peter Goos D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Peter Goos sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 35 D-Index — 25th percentile

25% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Peter Goos is affiliated with KU Leuven in Belgium and has contributed extensively to research at the intersection of agricultural and biological sciences and decision sciences. Their scholarly work spans multiple subfields, including management science and operations research, computational theory and mathematics, plant science, molecular biology, and nutrition and dietetics.

Their research predominantly focuses on optimal experimental design methods and advanced multi-objective optimization algorithms. Further topics of interest include manufacturing process and optimization, food composition and properties, microbial metabolites in food biotechnology, polysaccharides composition and applications, and horticultural and viticultural research.

Goos has published in several frequent venues, notably:

  • Journal of Quality Technology
  • arXiv (Cornell University)
  • Statistics and Computing
  • SSRN Electronic Journal
  • Separation and Purification Technology

Recent papers authored or coauthored by Peter Goos include:

  • Revealing the main factors and two-way interactions contributing to food discolouration caused by iron-catechol complexation, 2020, Scientific Reports
  • Arabinoxylan-oligosaccharides kick-start arabinoxylan digestion in the aging broiler, 2020, Poultry Science
  • A-optimal versus D-optimal design of screening experiments, 2020, Journal of Quality Technology
  • MPD and TMC supply as parameters to describe synthesis-morphology-performance relationships of polyamide thin film composite membranes, 2022, Journal of Membrane Science
  • Optimisation of the lipid extraction of fresh black soldier fly larvae (Hermetia illucens) with 2-methyltetrahydrofuran by response surface methodology, 2020, Separation and Purification Technology

Frequent coauthors in Goos's research network include:

  • Eric D. Schoen
  • José Núñez Ares
  • Jan A. Delcour
  • Alan R. Vazquez
  • Christophe M. Courtin

The main fields of study represented in Goos's publications are:

  • Agricultural and Biological Sciences
  • Decision Sciences

Subfields within these areas that they work on include:

  • Management Science and Operations Research
  • Computational Theory and Mathematics
  • Plant Science
  • Molecular Biology
  • Nutrition and Dietetics

Key topics covered by their work are:

  • Optimal Experimental Design Methods
  • Advanced Multi-Objective Optimization Algorithms
  • Manufacturing Process and Optimization
  • Food composition and properties
  • Microbial Metabolites in Food Biotechnology
  • Polysaccharides Composition and Applications
  • Horticultural and Viticultural Research

Best Publications

  • Optimal Design of Experiments: A Case Study Approach

    Peter Goos;Bradley Jones

  • A Comparison of Criteria to Design Efficient Choice Experiments

    Roselinde Kessels;Peter Goos;Martina Vandebroek

  • The optimal design of blocked and split-plot experiments

    Peter Goos

  • I-optimal versus D-optimal split-plot response surface designs

    Bradley Jones;Peter Goos

  • Bayesian optimal designs for discrete choice experiments with partial profiles

    Roselinde Kessels;Bradley Jones;Bradley Jones;Peter Goos;Peter Goos

  • Home care service planning. The case of Landelijke Thuiszorg

    P. A. Maya Duque;P. A. Maya Duque;Michael Castro;K Sorensen;Peter Goos;Peter Goos

  • Efficient GRASP+VND and GRASP+VNS metaheuristics for the traveling repairman problem

    Amir Salehipour;Kenneth Sörensen;Peter Goos;Peter Goos;Olli Bräysy

  • I-Optimal Design of Mixture Experiments

    Peter Goos;Bradley Jones;Utami D. Syafitri

  • Location of logistics companies : a stated preference study to disentangle the impact of accessibility

    Ann Verhetsel;Roselinde Kessels;Peter Goos;Peter Goos;Toon Zijlstra

  • Models and optimal designs for conjoint choice experiments including a no-choice option

    Bart Vermeulen;Peter Goos;Martina Vandebroek

  • D-Optimal Split-Plot Designs With Given Numbers and Sizes of Whole Plots

    Peter Goos;Martina Vandebroek

  • An Efficient Algorithm for Constructing Bayesian Optimal Choice Designs

    Roselinde Kessels;Bradley Jones;Peter Goos;Martina Vandebroek

  • Optimal Split-Plot Designs

    Peter Goos;Martina Vandebroek

  • Long‐term effect of biochar on the stabilization of recent carbon: soils with historical inputs of charcoal

    Maria Carmen Hernandez-Soriano;Bart Kerré;Peter Goos;Brieuc Hardy

  • A comparison of soil tests for available phosphorus in long‐term field experiments in Europe

    S. Nawara;T. Van Dael;R. Merckx;F. Amery

  • An iterated local search algorithm for the vehicle routing problem with backhauls

    Daniel Palhazi Cuervo;Daniel Palhazi Cuervo;Peter Goos;Peter Goos;Peter Goos;Kenneth Sörensen;Emely Arráiz

  • A candidate-set-free algorithm for generating D-optimal split-plot designs

    Bradley Jones;Peter Goos

  • Efficient Conjoint Choice Designs in the Presence of Respondent Heterogeneity

    Jie Yu;Peter Goos;Martina Vandebroek

  • The usefulness of Bayesian optimal designs for discrete choice experiments

    Roselinde Kessels;Bradley Jones;Peter Goos;Peter Goos;Martina Vandebroek

  • Outperforming Completely Randomized Designs

    Peter Goos;Martina Vandebroek

Frequent Co-Authors

Kenneth Sörensen
Kenneth Sörensen University of Antwerp
Patrick De Pelsmacker
Patrick De Pelsmacker University of Antwerp
Nathalie Dens
Nathalie Dens University of Antwerp
Bart Nicolai
Bart Nicolai KU Leuven
Erik Smolders
Erik Smolders KU Leuven
Riccardo Scarpa
Riccardo Scarpa Durham University

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