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Peter Goos

Peter Goos

D-Index & Metrics

Mathematics

D-Index
35
Citations
5466
World Ranking
2768
National Ranking
37

Engineering and Technology

D-Index
38
Citations
5993
World Ranking
8035
National Ranking
98

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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