Peter Goos
Impact in
-
- Optimal Experimental Design Methods
- General Decision Sciences top 2%
Papers in
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- Optimal Experimental Design Methods 128
-
- Advanced Multi-Objective Optimization Algorithms 75
- Co-authors
- Bradley Jones (22 shared papers)Martina Vandebroek (48 shared papers)Roselinde Kessels (25 shared papers)Kenneth Sörensen (12 shared papers)Jie Yu (11 shared papers)Bart Vermeulen (9 shared papers)Eric D. Schoen (22 shared papers)Utami Dyah Syafitri (4 shared papers)
- Journals
- Journal of Quality Technology (27 papers)Technometrics (12 papers)Journal of Statistical Planning and Inference (8 papers)Computational Statistics & Data Analysis (7 papers)Chemometrics and Intelligent Laboratory Systems (6 papers)
- Partner nations
- BelgiumNetherlandsUnited States
In The Last Decade
Peter Goos
221 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 194
- Management Science and Operations Research 1.7k
- General Decision Sciences 147
- Industrial and Manufacturing Engineering 652
- Computational Theory and Mathematics 1.0k
- Statistics, Probability and Uncertainty 402
Countries citing papers authored by Peter Goos
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
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-authors
The 25 scholars most cited alongside Peter Goos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 232 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 223 | |
| 2 | 2010 | 203 | |
| 3 | 2006 | 186 | |
| 4 | 2011 | 142 | |
| 5 | 2002 | 116 | |
| 6 | 2014 | 106 | |
| 7 | 2012 | 103 | |
| 8 | 2011 | 99 | |
| 9 | 2011 | 95 | |
| 10 | 2017 | 93 | |
| 11 | 2016 | 92 | |
| 12 | 2015 | 83 | |
| 13 | 2015 | 82 | |
| 14 | 2008 | 76 | |
| 15 | 2003 | 75 | |
| 16 | 2002 | 75 | |
| 17 | 2001 | 74 | |
| 18 | 2009 | 72 | |
| 19 | 2011 | 70 | |
| 20 | 2019 | 66 |
About Peter Goos
Peter Goos is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Economics and Econometrics, Industrial and Manufacturing Engineering and Statistics and Probability, having authored 232 papers that have together received 5.0k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (128 papers), Advanced Multi-Objective Optimization Algorithms (75 papers), Economic and Environmental Valuation (46 papers), Consumer Market Behavior and Pricing (26 papers), Manufacturing Process and Optimization (23 papers), Spectroscopy and Chemometric Analyses (22 papers), Statistical Methods in Clinical Trials (21 papers) and Sensory Analysis and Statistical Methods (13 papers). The work is most often cited by research in Management Science and Operations Research (1.7k citations), General Decision Sciences (147 citations), Industrial and Manufacturing Engineering (652 citations), Computational Theory and Mathematics (1.0k citations) and Statistics, Probability and Uncertainty (402 citations). Peter Goos has collaborated with scholars based in Belgium, Netherlands and United States. Frequent 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. Their work appears in journals such as Journal of Quality Technology, Technometrics, Journal of Statistical Planning and Inference, Computational Statistics & Data Analysis and Chemometrics and Intelligent Laboratory Systems.
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.