Anne Auger

4.7k total citations · 1 hit paper
52 papers, 1.3k citations indexed

About

Anne Auger is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Anne Auger has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 22 papers in Computational Theory and Mathematics and 3 papers in Computer Networks and Communications. Recurrent topics in Anne Auger's work include Metaheuristic Optimization Algorithms Research (35 papers), Evolutionary Algorithms and Applications (27 papers) and Advanced Multi-Objective Optimization Algorithms (20 papers). Anne Auger is often cited by papers focused on Metaheuristic Optimization Algorithms Research (35 papers), Evolutionary Algorithms and Applications (27 papers) and Advanced Multi-Objective Optimization Algorithms (20 papers). Anne Auger collaborates with scholars based in France, Japan and Switzerland. Anne Auger's 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 and has published in prestigious journals such as The Journal of Chemical Physics, SIAM Journal on Optimization and Theoretical Computer Science.

In The Last Decade

Anne Auger

50 papers receiving 1.3k citations

Hit Papers

Proceedings of the Genetic and Evolutionary Computation C... 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2019
    2019 304 citations Anne Auger et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anne Auger France 15 913 600 116 92 82 52 1.3k
Kumara Sastry United States 25 1.2k 1.3× 525 0.9× 147 1.3× 70 0.8× 117 1.4× 67 1.7k
Samir W. Mahfoud United States 9 925 1.0× 550 0.9× 69 0.6× 71 0.8× 103 1.3× 10 1.4k
Saku Kukkonen Finland 12 1.0k 1.1× 983 1.6× 43 0.4× 110 1.2× 138 1.7× 21 1.6k
Dirk V. Arnold Canada 17 699 0.8× 476 0.8× 36 0.3× 58 0.6× 64 0.8× 55 917
Jun He China 26 1.4k 1.6× 913 1.5× 99 0.9× 103 1.1× 84 1.0× 110 2.2k
Carola Doerr France 21 1.1k 1.2× 721 1.2× 76 0.7× 91 1.0× 25 0.3× 145 1.4k
Keith E. Mathias United States 13 730 0.8× 448 0.7× 52 0.4× 46 0.5× 68 0.8× 22 1.1k
Dirk Schlierkamp-Voosen Germany 4 599 0.7× 322 0.5× 44 0.4× 48 0.5× 124 1.5× 5 1.0k
Isao Ono Japan 19 850 0.9× 629 1.0× 150 1.3× 94 1.0× 273 3.3× 103 1.7k
Sankha Subhra Mullick India 8 1.0k 1.1× 567 0.9× 39 0.3× 46 0.5× 163 2.0× 11 1.5k

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
1.
Auger, Anne, et al.. (2023). Benchmarking CMA-ES with Basic Integer Handling on a Mixed-Integer Test Problem Suite. SPIRE - Sciences Po Institutional REpository. 1628–1635. 2 indexed citations
2.
Auger, Anne & Nikolaus Hansen. (2023). An Introduction to Scientific Experimentation and Benchmarking. 854–877.
3.
Auger, Anne, et al.. (2021). Scaling-invariant functions versus positively homogeneous functions. arXiv (Cornell University). 2 indexed citations
4.
Akimoto, Youhei, Anne Auger, & Nikolaus Hansen. (2018). Quality gain analysis of the weighted recombination evolution strategy on general convex quadratic functions. Theoretical Computer Science. 832. 42–67. 15 indexed citations
5.
Auger, Anne, et al.. (2016). GECCO'16 Black-Box Optimization Benchmarking Workshop (BBOB-2016). 1167–1167. 2 indexed citations
6.
Hansen, Nikolaus & Anne Auger. (2014). Evolution strategies and CMA-ES (covariance matrix adaptation). 513–534. 4 indexed citations
7.
Auger, Anne & Nikolaus Hansen. (2013). Tutorial CMA-ES. 499–520. 2 indexed citations
8.
Auger, Anne, Nikolaus Hansen, & Marc Schoenauer. (2012). Benchmarking of Continuous Black Box Optimization Algorithms. Evolutionary Computation. 20(4). 481–481. 5 indexed citations
9.
Auger, Anne & Nikolaus Hansen. (2012). Tutorial CMA-ES. 827–848. 48 indexed citations
10.
Hansen, Nikolaus & Anne Auger. (2011). CMA-ES. 991–1010. 29 indexed citations
11.
Auger, Anne, Dimo Brockhoff, & Nikolaus Hansen. (2010). Investigating the impact of sequential selection in the (1,2)-CMA-ES on the noiseless BBOB-2010 testbed. HAL (Le Centre pour la Communication Scientifique Directe). 1591–1596. 6 indexed citations
12.
Auger, Anne, Dimo Brockhoff, & Nikolaus Hansen. (2010). Investigating the impact of sequential selection in the (1,4)-CMA-ES on the noisy BBOB-2010 testbed. HAL (Le Centre pour la Communication Scientifique Directe). 1611–1616. 3 indexed citations
13.
Auger, Anne, Dimo Brockhoff, & Nikolaus Hansen. (2010). Benchmarking the (1,4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed. HAL (Le Centre pour la Communication Scientifique Directe). 1625–1632. 4 indexed citations
14.
Auger, Anne, Dimo Brockhoff, & Nikolaus Hansen. (2010). Investigating the impact of sequential selection in the (1,4)-CMA-ES on the noiseless BBOB-2010 testbed. HAL (Le Centre pour la Communication Scientifique Directe). 1597–1604. 6 indexed citations
15.
Auger, Anne & Nikolaus Hansen. (2009). Benchmarking the (1+1)-CMA-ES on the BBOB-2009 function testbed. 2459–2466. 21 indexed citations
16.
Auger, Anne & Raymond Ros. (2009). Benchmarking the pure random search on the BBOB-2009 testbed. 2479–2484. 9 indexed citations
17.
Hansen, Nikolaus, Anne Auger, & Raymond Ros. (2009). Real-Parameter Black-Box Optimization Benchmarking 2009: Experimental Setup. HAL (Le Centre pour la Communication Scientifique Directe). 280 indexed citations
18.
Auger, Anne & Nikolaus Hansen. (2008). Evolution strategies and related estimation of distribution algorithms. 2727–2740. 1 indexed citations
19.
Auger, Anne, Philippe Chatelain, & Petros Koumoutsakos. (2006). R -leaping: Accelerating the stochastic simulation algorithm by reaction leaps. The Journal of Chemical Physics. 125(8). 84103–84103. 68 indexed citations
20.
Nicolau, Miguel, Anne Auger, & Conor Ryan. (2003). Investigating Degenerate Code and Gene Dependency in the GAuGE System. Research Repository UCD (University College Dublin). 1 indexed citations

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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