Dimo Brockhoff

4.0k total citations
50 papers, 1.2k citations indexed

About

Dimo Brockhoff is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Dimo Brockhoff has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computational Theory and Mathematics, 36 papers in Artificial Intelligence and 6 papers in Management Science and Operations Research. Recurrent topics in Dimo Brockhoff's work include Advanced Multi-Objective Optimization Algorithms (36 papers), Metaheuristic Optimization Algorithms Research (35 papers) and Evolutionary Algorithms and Applications (23 papers). Dimo Brockhoff is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (36 papers), Metaheuristic Optimization Algorithms Research (35 papers) and Evolutionary Algorithms and Applications (23 papers). Dimo Brockhoff collaborates with scholars based in France, Switzerland and Germany. Dimo Brockhoff's co-authors include Eckart Zitzler, Johannes Bader, Anne Auger, Nikolaus Hansen, Tobias Wagner, Tea Tušar, Anne Auger, Heike Trautmann, Christian Klein and Frank Neumann and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, Applied Soft Computing and Theoretical Computer Science.

In The Last Decade

Dimo Brockhoff

49 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dimo Brockhoff France 16 873 754 186 137 88 50 1.2k
Noritaka Tsukamoto Japan 14 1.1k 1.3× 1.0k 1.4× 289 1.6× 135 1.0× 92 1.0× 24 1.5k
P. Amato Italy 11 762 0.9× 727 1.0× 168 0.9× 151 1.1× 39 0.4× 31 1.2k
Bingdong Li China 7 711 0.8× 680 0.9× 197 1.1× 81 0.6× 39 0.4× 15 969
Adriana Lara Mexico 11 660 0.8× 573 0.8× 112 0.6× 106 0.8× 73 0.8× 28 854
Wudong Liu China 8 1.6k 1.8× 1.4k 1.8× 287 1.5× 133 1.0× 130 1.5× 16 1.9k
E.J. Hughes United Kingdom 13 521 0.6× 510 0.7× 126 0.7× 106 0.8× 35 0.4× 59 912
Gregorio Toscano‐Pulido Mexico 14 508 0.6× 428 0.6× 92 0.5× 57 0.4× 51 0.6× 41 718
Mayank Kumar Goyal India 9 752 0.9× 745 1.0× 144 0.8× 133 1.0× 29 0.3× 38 1.3k
Dudy Lim Singapore 9 555 0.6× 536 0.7× 104 0.6× 45 0.3× 66 0.8× 10 814
E.F. Khor Singapore 12 455 0.5× 426 0.6× 76 0.4× 104 0.8× 38 0.4× 20 807

Countries citing papers authored by Dimo Brockhoff

Since Specialization
Citations

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

Fields of papers citing papers by Dimo Brockhoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dimo Brockhoff

This figure shows the co-authorship network connecting the top 25 collaborators of Dimo Brockhoff. A scholar is included among the top collaborators of Dimo Brockhoff 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 Dimo Brockhoff. Dimo Brockhoff 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.
Brockhoff, Dimo, Michael Emmerich, Boris Naujoks, & Robin C. Purshouse. (2023). Many-Criteria Optimization and Decision Analysis. HAL (Le Centre pour la Communication Scientifique Directe). 6 indexed citations
2.
Brockhoff, Dimo & Tea Tušar. (2023). GECCO 2023 Tutorial on Benchmarking Multiobjective Optimizers 2.0. 1183–1212. 1 indexed citations
3.
Brockhoff, Dimo. (2023). Comparing Boundary Handling Techniques of CMA-ES on the bbob and sbox-cost Test Suites. SPIRE - Sciences Po Institutional REpository. 2318–2325. 1 indexed citations
4.
Hansen, Nikolaus, et al.. (2022). Anytime Performance Assessment in Blackbox Optimization Benchmarking. IEEE Transactions on Evolutionary Computation. 26(6). 1293–1305. 15 indexed citations
5.
Brockhoff, Dimo, et al.. (2020). Benchmarking large-scale continuous optimizers: The bbob-largescale testbed, a COCO software guide and beyond. Applied Soft Computing. 97. 106737–106737. 14 indexed citations
6.
Brockhoff, Dimo & Nikolaus Hansen. (2019). The impact of sample volume in random search on the bbob test suite. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1912–1919. 2 indexed citations
7.
Brockhoff, Dimo & Tea Tušar. (2019). Benchmarking algorithms from the platypus framework on the biobjective bbob-biobj testbed. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1905–1911. 8 indexed citations
8.
Brockhoff, Dimo, et al.. (2016). Using Well-Understood Single-Objective Functions in Multiobjective\n Black-Box Optimization Test Suites. arXiv (Cornell University). 17 indexed citations
9.
Auger, Anne, et al.. (2016). GECCO'16 Black-Box Optimization Benchmarking Workshop (BBOB-2016). 1167–1167. 2 indexed citations
10.
Brockhoff, Dimo & Tobias Wagner. (2015). Tutorial on Evolutionary Multiobjective Optimization. 37–63. 4 indexed citations
11.
Auger, Anne, Johannes Bader, Dimo Brockhoff, & Eckart Zitzler. (2011). Hypervolume-based multiobjective optimization: Theoretical foundations and practical implications. Theoretical Computer Science. 425. 75–103. 141 indexed citations
12.
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
13.
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
14.
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
15.
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
16.
Brockhoff, Dimo. (2009). Theoretical Aspects of Evolutionary Multiobjective Optimization|A Review. HAL (Le Centre pour la Communication Scientifique Directe). 5 indexed citations
17.
Brockhoff, Dimo, Tobias Friedrich, Nils Hebbinghaus, et al.. (2009). On the Effects of Adding Objectives to Plateau Functions. IEEE Transactions on Evolutionary Computation. 13(3). 591–603. 57 indexed citations
18.
Brockhoff, Dimo, et al.. (2008). Pattern identification in pareto-set approximations. 737–744. 16 indexed citations
19.
Terzer, Marco, Eckart Zitzler, Joerg Stelling, et al.. (2007). Design of a biological half adder. 1(1). 53–58. 22 indexed citations
20.
Brockhoff, Dimo & Eckart Zitzler. (2007). Improving hypervolume-based multiobjective evolutionary algorithms by using objective reduction methods. 2086–2093. 99 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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