Peter Goos

6.6k total citations
223 papers, 4.6k citations indexed

About

Peter Goos is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Economics and Econometrics. According to data from OpenAlex, Peter Goos has authored 223 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Management Science and Operations Research, 74 papers in Computational Theory and Mathematics and 46 papers in Economics and Econometrics. Recurrent topics in Peter Goos's work include Optimal Experimental Design Methods (123 papers), Advanced Multi-Objective Optimization Algorithms (74 papers) and Economic and Environmental Valuation (46 papers). Peter Goos is often cited by papers focused on Optimal Experimental Design Methods (123 papers), Advanced Multi-Objective Optimization Algorithms (74 papers) and Economic and Environmental Valuation (46 papers). Peter Goos collaborates with scholars based in Belgium, Netherlands and United States. Peter Goos's co-authors include Bradley Jones, Martina Vandebroek, Roselinde Kessels, Kenneth Sörensen, Jie Yu, Bart Vermeulen, Eric D. Schoen, Utami Dyah Syafitri, A N Donev and Christophe M. Courtin and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Peter Goos

213 papers receiving 4.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Peter Goos 1.6k 966 856 610 524 223 4.6k
Bradley Jones 1.3k 0.8× 961 1.0× 278 0.3× 319 0.5× 122 0.2× 75 2.7k
Fengqi You 754 0.5× 649 0.7× 452 0.5× 1.2k 2.0× 468 0.9× 431 19.0k
Christopher J. Nachtsheim 1.3k 0.8× 880 0.9× 195 0.2× 362 0.6× 121 0.2× 70 3.6k
R D Tobias 664 0.4× 485 0.5× 325 0.4× 76 0.1× 235 0.4× 23 3.5k
André I. Khuri 1.1k 0.7× 726 0.8× 126 0.1× 354 0.6× 338 0.6× 65 5.4k
Christine M. Anderson‐Cook 1.5k 1.0× 772 0.8× 675 0.8× 243 0.4× 202 0.4× 239 5.9k
Connie M. Borror 1.1k 0.7× 635 0.7× 128 0.1× 411 0.7× 203 0.4× 118 5.6k
Ronald D. Snee 1.0k 0.6× 264 0.3× 209 0.2× 266 0.4× 230 0.4× 147 6.1k
Martina Vandebroek 550 0.3× 256 0.3× 930 1.1× 114 0.2× 143 0.3× 114 1.8k
J. Stuart Hunter 1.6k 1.0× 798 0.8× 107 0.1× 532 0.9× 687 1.3× 58 9.3k

Countries citing papers authored by Peter Goos

Since Specialization
Citations

This map shows the geographic impact of Peter Goos's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter Goos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Goos more than expected).

Fields of papers citing papers by Peter Goos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Goos. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter Goos. The network helps show where Peter Goos may publish in the future.

Co-authorship network of co-authors of Peter Goos

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Goos. A scholar is included among the top collaborators of Peter Goos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Goos. Peter Goos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Goos, Peter, et al.. (2025). Two-level D-optimal designs for run sizes that are one less than a multiple of four. Quality Engineering. 37(4). 597–611. 1 indexed citations
2.
Smets, Ruben, Thijs Vangeel, Peter Goos, et al.. (2025). Effect of process parameters on the purity of chitin isolated from black soldier fly larvae biomass using a subcritical methanol–water mixture. Separation and Purification Technology. 375. 133756–133756. 1 indexed citations
3.
4.
Bernaerts, Tom, et al.. (2024). Influence of ultrasound-assisted extraction on the pectin extraction yield and structural characteristics: A case study on carrot pomace (Daucus carota). Food and Bioproducts Processing. 148. 309–320. 4 indexed citations
5.
Hertog, Maarten, et al.. (2024). Objective instrumental method for blueberry (Vaccinium spp.) juiciness determination compared to sensory evaluation. Postharvest Biology and Technology. 218. 113144–113144.
6.
Lemmens, Elien, Charlotte Grootaert, John Van Camp, et al.. (2024). Acidic hydrothermal processing of wheat using citrate buffer largely enhances iron and zinc bioaccessibility and bioavailability to Caco-2 cells. Food Chemistry. 467. 142340–142340. 3 indexed citations
7.
Langenaeken, Niels A., et al.. (2023). Stabilisation of vitamin A by wheat bran is affected by wheat bran antioxidants, bound lipids and endogenous lipase activity. Food Research International. 169. 112911–112911. 9 indexed citations
8.
Goos, Peter, et al.. (2023). Analysis of data from orthogonal minimally aliased response surface designs. Journal of Quality Technology. 55(3). 366–384. 3 indexed citations
9.
Goos, Peter, et al.. (2023). Bayesian D- and I-optimal designs for choice experiments involving mixtures and process variables. Food Quality and Preference. 110. 104928–104928. 1 indexed citations
10.
Bondt, Yamina De, An Bautil, Niels A. Langenaeken, et al.. (2023). Impact of process parameters on the specific volume of wholemeal wheat bread made using sourdough- and baker's yeast-based leavening strategies. International Journal of Food Microbiology. 396. 110193–110193. 20 indexed citations
11.
Lemmens, Elien, et al.. (2023). Tailoring the formulation of sugar-snap cookies to lower in vitro starch digestibility: A response surface modelling approach. Food Chemistry. 435. 137601–137601. 5 indexed citations
12.
Bautil, An, Johan Buyse, Peter Goos, M.R. Bedford, & Christophe M. Courtin. (2021). Feed endoxylanase type and dose affect arabinoxylan hydrolysis and fermentation in ageing broilers. Animal nutrition. 7(3). 787–800. 22 indexed citations
13.
Bautil, An, Joran Verspreet, Johan Buyse, et al.. (2019). Age-related arabinoxylan hydrolysis and fermentation in the gastrointestinal tract of broilers fed wheat-based diets. Poultry Science. 98(10). 4606–4621. 58 indexed citations
14.
Jans, Raf, et al.. (2018). . Anet (University of Antwerp). 18 indexed citations
15.
Goos, Peter, et al.. (2018). Enumeration and Multicriteria Selection of Orthogonal Minimally Aliased Response Surface Designs. Technometrics. 62(1). 21–36. 20 indexed citations
16.
Goos, Peter, et al.. (2015). Mixed-Media Modeling May Help Optimize Campaign Recognition and Brand Interest. Journal of Advertising Research. 55(4). 443–457. 8 indexed citations
17.
Jones, Bradley & Peter Goos. (2015). Optimal Design of Blocked Experiments in the Presence of Supplementary Information About the Blocks. Journal of Quality Technology. 47(4). 301–317. 3 indexed citations
18.
Goos, Peter, et al.. (2012). The Airport Choice of Freighter Operators: A Multinomial Logit Model. Transportation Research Board 91st Annual MeetingTransportation Research Board. 3 indexed citations
19.
Goos, Peter, et al.. (2011). The airport choices in the air cargo sector: a discrete choice analysis of freighter operations. 7 indexed citations
20.
Donev, A N & Peter Goos. (2007). The D-optimal design of blocked experiments with mixture components. Quality Engineering. 52(4). 427–432.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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