Anne Auger

4.7k citations
52 papers · 1.3k indexed · 1 hit paper · h-index 15
Topics
Metaheuristic Optimization Algorithms Research (35 papers)Evolutionary Algorithms and Applications (27 papers)Advanced Multi-Objective Optimization Algorithms (20 papers)
Partner nations
FranceJapanSwitzerland

In The Last Decade

Anne Auger

50 papers receiving 1.3k citations

Hit Papers

Proceedings of the Genetic and Evolutionary Computation C...20192026202120232019100200300

Peers

Anne Auger
Comparison fields: 5 of 110
  • Artificial Intelligence 913
  • Computational Theory and Mathematics 600
  • Molecular Biology 116
  • Management Science and Operations Research 92
  • Control and Systems Engineering 82
Replace Saku Kukkonen with:
Saku Kukkonen Finland
Dirk V. Arnold Canada
Sankha Subhra Mullick India
Rachid Chelouah France
Alec Banks United Kingdom
Jun He China
Mirjam Sepesy Maučec Slovenia
Kumara Sastry United States
Jie Zhou China
Carola Doerr France
Anne Auger relative to Saku Kukkonen Finland Saku Kukkonen's profile →
Citations per field
00.5×2.7×
Saku Kukkonen · 1×
Citations per year

Countries citing papers authored by Anne Auger

Since Specialization
Citations

This map shows the geographic impact of Anne Auger'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 Anne Auger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Auger more than expected).

Fields of papers citing papers by Anne Auger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne Auger. 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 Anne Auger. The network helps show where Anne Auger may publish in the future.

Co-authorship network of co-authors of Anne Auger

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Auger. A scholar is included among the top collaborators of Anne Auger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anne Auger. Anne Auger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 2
4 15
5 2
6 4
7 2
8 5
9 48
10 29
11 6
12 3
13 4
14 6
15 21
16 9
17
Real-Parameter Black-Box Optimization Benchmarking 2009: Experimental Setup
280
18 1
19 68
20
Investigating Degenerate Code and Gene Dependency in the GAuGE System
1

About Anne Auger

Anne Auger is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (35 papers), Evolutionary Algorithms and Applications (27 papers) and Advanced Multi-Objective Optimization Algorithms (20 papers). The work is most often cited by research in Computational Theory and Mathematics (600 citations), Artificial Intelligence (913 citations) and Numerical Analysis (43 citations). Anne Auger has collaborated with scholars based in France, Japan and Switzerland. Frequent co-authors include Nikolaus Hansen, Thomas Stützle, Raymond Ros, Olivier Teytaud, Dimo Brockhoff, Petros Koumoutsakos, Philippe Chatelain, Manuel López‐Ibáñez, Youhei Akimoto and Steffen Finck. Their work appears in journals such as The Journal of Chemical Physics, SIAM Journal on Optimization and Theoretical Computer Science.

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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