Michel van Tooren
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- Probabilistic and Robust Engineering Design 26
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- Manufacturing Process and Optimization 30
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- Advanced Multi-Objective Optimization Algorithms 27
- Aerospace Engineering top 2%
- Aeroelasticity and Vibration Control 12
- Mechanics of Materials top 2%
- Mechanical Behavior of Composites 15
- Composite Structure Analysis and Optimization 12
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- Advanced Aircraft Design and Technologies 26
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- Computational Fluid Dynamics and Aerodynamics 18
- Cited by
- Statistics, Probability and UncertaintyIndustrial and Manufacturing EngineeringComputational Theory and Mathematics
- Journals
- Journal of Computational Physics (1 paper)Applied Energy (1 paper)Expert Systems with Applications (1 paper)
- Partner nations
- NetherlandsUnited StatesChina
In The Last Decade
Michel van Tooren
132 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Statistics, Probability and Uncertainty 630
- Industrial and Manufacturing Engineering 501
- Computational Theory and Mathematics 509
- Aerospace Engineering 630
- Mechanics of Materials 595
Countries citing papers authored by Michel van Tooren
This map shows the geographic impact of Michel van Tooren'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 Michel van Tooren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel van Tooren more than expected).
Fields of papers citing papers by Michel van Tooren
This network shows the impact of papers produced by Michel van Tooren. 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 Michel van Tooren. The network helps show where Michel van Tooren may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michel van Tooren, 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 | 2024 | 9 | |
| 2 | 2022 | 2 | |
| 3 | 2021 | 58 | |
| 4 | 2021 | 17 | |
| 5 | Effects of Nanoparticles on the Shear Properties of Polymer Composites | 2015 | 2 |
| 6 | 2015 | 10 | |
| 7 | 2014 | 2 | |
| 8 | 2013 | 37 | |
| 9 | 2013 | 7 | |
| 10 | 2012 | 13 | |
| 11 | 2011 | 19 | |
| 12 | 2010 | 29 | |
| 13 | 2010 | 36 | |
| 14 | 2010 | 48 | |
| 15 | 2007 | 38 | |
| 16 | 2007 | 1 | |
| 17 | Aerodynamic Shape Optimization by means of Sequential Linear Programming Techniques | 2006 | 2 |
| 18 | 2004 | 15 | |
| 19 | 2003 | 2 | |
| 20 | 2000 | 19 |
About Michel van Tooren
Michel van Tooren is a scholar working on Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering and Computational Theory and Mathematics, having authored 141 papers that have together received 2.7k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (30 papers), Advanced Multi-Objective Optimization Algorithms (27 papers), Probabilistic and Robust Engineering Design (26 papers), Advanced Aircraft Design and Technologies (26 papers), Computational Fluid Dynamics and Aerodynamics (18 papers), Mechanical Behavior of Composites (15 papers), Aeroelasticity and Vibration Control (12 papers) and Composite Structure Analysis and Optimization (12 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (630 citations), Industrial and Manufacturing Engineering (501 citations) and Computational Theory and Mathematics (509 citations). Michel van Tooren has collaborated with scholars based in Netherlands, United States and China. Frequent co-authors include Gianfranco La Rocca, Wen Yao, A. Beukers, Xiaoqian Chen, Ali Elham, Jian Guo, Wencai Luo, Yiyong Huang, Mark Voskuijl and Barry Koren. Their work appears in journals such as Journal of Computational Physics, Applied Energy and Expert Systems with Applications.
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.