G. Rennen
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- Optimal Experimental Design Methods 5
- Multi-Criteria Decision Making 2
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- Probabilistic and Robust Engineering Design 2
- Statistics and Probability top 5%
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- Advanced Multi-Objective Optimization Algorithms 9
- Management Information Systems top 10%
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- VLSI and FPGA Design Techniques 3
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- Evolutionary Algorithms and Applications 3
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- Advanced Optimization Algorithms Research 2
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- Product Development and Customization 1
- Co-authors
- Dick den HertogAnja De WaegenaereAharon Ben‐TalBertrand MelenbergEdwin van DamB.G.M. Husslage
- Cited by
- Management Science and Operations ResearchStatistics, Probability and UncertaintyStatistics and Probability
- Journals
- Management Science (1 paper)Operations Research (1 paper)Structural and Multidisciplinary Optimization (2 papers)
- Partner nations
- NetherlandsIsrael
In The Last Decade
G. Rennen
12 papers receiving 748 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Management Science and Operations Research 428
- Statistics, Probability and Uncertainty 194
- Statistics and Probability 96
- Computational Theory and Mathematics 178
- Management Information Systems 64
Countries citing papers authored by G. Rennen
This map shows the geographic impact of G. Rennen'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 G. Rennen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Rennen more than expected).
Fields of papers citing papers by G. Rennen
This network shows the impact of papers produced by G. Rennen. 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 G. Rennen. The network helps show where G. Rennen may publish in the future.
Co-authorship network
The 6 scholars most cited alongside G. Rennen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Robust Solutions of Optimization Problems Affected by Uncertain Probabilitiesbreakdown → | 2012 | 486 |
| 2 | Space-filling Latin hypercube designs for computer experiments | 2011 | 7 |
| 3 | 2011 | 2 | |
| 4 | 2010 | 134 | |
| 5 | 2010 | 28 | |
| 6 | 2009 | 51 | |
| 7 | 2009 | 28 | |
| 8 | 2009 | 1 | |
| 9 | 2008 | 22 | |
| 10 | 2008 | 3 | |
| 11 | 2007 | 12 | |
| 12 | Space-Filling Latin Hypercube Designs for Computer Experiments (Replaced by CentER DP 2008-104) | 2006 | 4 |
About G. Rennen
G. Rennen is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Numerical Analysis, having authored 12 papers that have together received 778 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (9 papers), Optimal Experimental Design Methods (5 papers), VLSI and FPGA Design Techniques (3 papers), Evolutionary Algorithms and Applications (3 papers), Advanced Optimization Algorithms Research (2 papers), Multi-Criteria Decision Making (2 papers), Probabilistic and Robust Engineering Design (2 papers) and Product Development and Customization (1 paper). The work is most often cited by research in Management Science and Operations Research (428 citations), Statistics, Probability and Uncertainty (194 citations) and Statistics and Probability (96 citations). G. Rennen has collaborated with scholars based in Netherlands and Israel. Frequent co-authors include Dick den Hertog, Anja De Waegenaere, Aharon Ben‐Tal, Bertrand Melenberg, Edwin van Dam and B.G.M. Husslage. Their work appears in journals such as Management Science, Operations Research and Structural and Multidisciplinary Optimization.
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.