André Deutz
Impact in
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- Advanced Multi-Objective Optimization Algorithms
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- Probabilistic and Robust Engineering Design
Papers in
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- Advanced Multi-Objective Optimization Algorithms 22
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- Metaheuristic Optimization Algorithms Research 13
- Evolutionary Algorithms and Applications 8
- Bayesian Modeling and Causal Inference 2
- Co-authors
- Michael Emmerich (26 shared papers)Thomas Bäck (11 shared papers)Kaifeng Yang (5 shared papers)Hao Wang (8 shared papers)Julia Walochnik (1 shared paper)Bernd Gollackner (1 shared paper)K. Janitschke (1 shared paper)Eric R. Lacy (1 shared paper)
- Journals
- Theoretical Computer Science (2 papers)Gastroenterology (1 paper)Information Sciences (1 paper)Computers & Operations Research (1 paper)Parasitology (1 paper)
- Partner nations
- NetherlandsGermanyMexico
In The Last Decade
André Deutz
30 papers receiving 1.0k citations
André Deutz's Hit Papers
Peers
Comparison fields: 5 of 136
- Computational Theory and Mathematics 473
- Statistics, Probability and Uncertainty 124
- Management Science and Operations Research 181
- Industrial and Manufacturing Engineering 96
- Artificial Intelligence 310
Countries citing papers authored by André Deutz
This map shows the geographic impact of André Deutz'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 André Deutz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Deutz more than expected).
Fields of papers citing papers by André Deutz
This network shows the impact of papers produced by André Deutz. 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 André Deutz. The network helps show where André Deutz may publish in the future.
Co-authors
The 25 scholars most cited alongside André Deutz, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A tutorial on multiobjective optimization: fundamentals and evolutionary methods Hit paper breakdown → | 2018 | 429 |
| 2 | 2011 | 125 | |
| 3 | 2018 | 95 | |
| 4 | 2004 | 72 | |
| 5 | 2019 | 58 | |
| 6 | 1991 | 54 | |
| 7 | 2020 | 35 | |
| 8 | 2018 | 31 | |
| 9 | 2016 | 18 | |
| 10 | 2021 | 18 | |
| 11 | 2018 | 16 | |
| 12 | 2016 | 14 | |
| 13 | 2014 | 14 | |
| 14 | 2010 | 14 | |
| 15 | 2018 | 10 | |
| 16 | 2013 | 9 | |
| 17 | 2015 | 7 | |
| 18 | 2017 | 6 | |
| 19 | 2011 | 5 | |
| 20 | 2024 | 5 |
About André Deutz
André Deutz is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Management Science and Operations Research, Statistics, Probability and Uncertainty and Control and Systems Engineering, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (22 papers), Metaheuristic Optimization Algorithms Research (13 papers), Evolutionary Algorithms and Applications (8 papers), Probabilistic and Robust Engineering Design (7 papers), Optimal Experimental Design Methods (4 papers), Multi-Criteria Decision Making (3 papers), Bayesian Modeling and Causal Inference (2 papers) and Process Optimization and Integration (2 papers). The work is most often cited by research in Computational Theory and Mathematics (473 citations), Statistics, Probability and Uncertainty (124 citations), Management Science and Operations Research (181 citations), Industrial and Manufacturing Engineering (96 citations) and Artificial Intelligence (310 citations). André Deutz has collaborated with scholars based in Netherlands, Germany and Mexico. Frequent co-authors include Michael Emmerich, Thomas Bäck, Kaifeng Yang, Hao Wang, Julia Walochnik, Bernd Gollackner, K. Janitschke, Eric R. Lacy, Andreas Obwaller and Iryna Yevseyeva. Their work appears in journals such as Theoretical Computer Science, Gastroenterology, Information Sciences, Computers & Operations Research and Parasitology.
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.