André Deutz

2.3k citations
56 papers · 1.8k · 1 hit paper · h-index 20

Impact in

Papers in

André Deutz

53 papers receiving 1.7k citations

André Deutz's Hit Papers

A tutorial on multiobjective optimization: fundamentals and evolutionary methods 2018 · 489 citations
4890+2+5Years since publication100200300400

Peers

André Deutz
Comparison fields: 5 of 139
  • Computational Theory and Mathematics 1.0k
  • Statistics, Probability and Uncertainty 273
  • Management Science and Operations Research 377
  • Artificial Intelligence 686
  • Industrial and Manufacturing Engineering 142
Replace Jianyong Sun with:
Jianyong Sun China
Indraneel Das United States
Peter A. N. Bosman Netherlands
Wali Khan Mashwani Pakistan
Xinwei Deng United States
K.-T. Fang
Dimo Brockhoff France
Alessandro Abate United Kingdom
Lih‐Yuan Deng United States
Hemant Kumar Singh Australia
André Deutz relative to Jianyong Sun China Jianyong Sun's profile →
Citations per field
00.5×5.9×
Jianyong Sun · 1×
Citations per year

Countries citing papers authored by André Deutz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with André Deutz Line = papers co-authored together André Deutz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 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 →
2018489
2 2011150
3 2018110
4 201096
5 200473
6 201969
7 200762
8 199155
9 201655
10 200754
11 201552
12 202036
13 201834
14 201633
15 201732
16 201325
17 201824
18 201723
19 202122
20 201621

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 Numerical Analysis, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (47 papers), Metaheuristic Optimization Algorithms Research (24 papers), Probabilistic and Robust Engineering Design (14 papers), Optimal Experimental Design Methods (13 papers), Evolutionary Algorithms and Applications (10 papers), Advanced Optimization Algorithms Research (6 papers), Advanced Control Systems Optimization (4 papers) and Multi-Criteria Decision Making (4 papers). The work is most often cited by research in Computational Theory and Mathematics (1.0k citations), Statistics, Probability and Uncertainty (273 citations), Management Science and Operations Research (377 citations), Artificial Intelligence (686 citations) and Industrial and Manufacturing Engineering (142 citations). André Deutz has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include Michael Emmerich, Kaifeng Yang, Thomas Bäck, Hao Wang, Tobias Wagner, Wolfgang Ponweiser, Nicola Beume, Carlos M. Fonseca, Johannes W. Kruisselbrink and Heike Trautmann. Their work appears in journals such as Theoretical Computer Science, Lecture notes in computer science, Parasitology, Gastroenterology and Mathematical and Computational 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.

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