Dimo Brockhoff

4.1k citations
78 papers · 2.6k · h-index 23

Impact in

Papers in

Dimo Brockhoff

75 papers receiving 2.5k citations

Peers

Dimo Brockhoff
Comparison fields: 5 of 102
  • Computational Theory and Mathematics 1.9k
  • Artificial Intelligence 1.7k
  • Management Science and Operations Research 401
  • Statistics, Probability and Uncertainty 207
  • Software 64
Replace Nicola Beume with:
Nicola Beume Germany
Johannes Bader Switzerland
Shi-Zheng Zhao Singapore
Hemant Kumar Singh Australia
Chaoli Sun China
Boris Naujoks Germany
Noritaka Tsukamoto Japan
Karthik Sindhya Finland
Simon Künzli Switzerland
Wudong Liu China
Dimo Brockhoff relative to Nicola Beume Germany Nicola Beume's profile →
Citations per field
00.5×1.5×1.8×
Nicola Beume · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Dimo Brockhoff, 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 Dimo Brockhoff Line = papers co-authored together Dimo Brockhoff links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007463
2 2009306
3 2006182
4 2009163
5 2011162
6 2007114
7 200792
8 201387
9 200884
10 201479
11 200967
12 201058
13 201348
14 200744
15 201841
16 201932
17 201328
18 200727
19 201926
20 200726

About Dimo Brockhoff

Dimo Brockhoff is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Management Science and Operations Research, Control and Systems Engineering and Statistics, Probability and Uncertainty, having authored 78 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (58 papers), Metaheuristic Optimization Algorithms Research (53 papers), Evolutionary Algorithms and Applications (37 papers), Optimal Experimental Design Methods (8 papers), Probabilistic and Robust Engineering Design (6 papers), Advanced Optimization Algorithms Research (5 papers), Algorithms and Data Compression (3 papers) and Process Optimization and Integration (3 papers). The work is most often cited by research in Computational Theory and Mathematics (1.9k citations), Artificial Intelligence (1.7k citations), Management Science and Operations Research (401 citations), Statistics, Probability and Uncertainty (207 citations) and Software (64 citations). Dimo Brockhoff has collaborated with scholars based in France, Switzerland and Germany. Frequent co-authors include Eckart Zitzler, Lothar Thiele, Johannes Bader, Anne Auger, Nikolaus Hansen, Tobias Wagner, Heike Trautmann, Frank Neumann, Tobias Friedrich and Anne Auger. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Evolutionary Computation, Lecture notes in computer science, Theoretical Computer Science and Journal of Multi-Criteria Decision Analysis.

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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