Dirk V. Arnold

2.2k citations
57 papers · 922 · h-index 17

Impact in

Papers in

Dirk V. Arnold

54 papers receiving 880 citations

Peers

Dirk V. Arnold
Comparison fields: 5 of 85
  • Computational Theory and Mathematics 479
  • Artificial Intelligence 703
  • Management Science and Operations Research 59
  • Numerical Analysis 20
  • Industrial and Manufacturing Engineering 32
Replace Dirk Schlierkamp-Voosen with:
Dirk Schlierkamp-Voosen Germany
Samir W. Mahfoud United States
Zhigang Ren China
Jørgen Vesterstrøm Denmark
Fengshan Bai China
Ilya Pavlyukevich Germany
Zhuhong Zhang China
Thomas B�ck Netherlands
Ilya Safro United States
Dirk V. Arnold relative to Dirk Schlierkamp-Voosen Germany Dirk Schlierkamp-Voosen's profile →
Citations per field
00.5×2.5×
Dirk Schlierkamp-Voosen · 1×
Citations per year

Countries citing papers authored by Dirk V. Arnold

Since Specialization
Citations

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

Fields of papers citing papers by Dirk V. Arnold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dirk V. Arnold. 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 Dirk V. Arnold. The network helps show where Dirk V. Arnold may publish in the future.

Co-authors

The 13 scholars most cited alongside Dirk V. Arnold, 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 Dirk V. Arnold Line = papers co-authored together Dirk V. Arnold links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002104
2 200675
3 200367
4 200255
5 200254
6
Noisy Local Optimization with Evolution Strategies
200244
7 200641
8 200635
9 200435
10 200228
11 200324
12 200723
13 200819
14
Information-theoretic Analysis of Phase Transitions.
199618
15 201517
16 200616
17 200316
18 200116
19 200515
20 201115

About Dirk V. Arnold

Dirk V. Arnold is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Computational Mechanics, having authored 57 papers that have together received 922 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (38 papers), Advanced Multi-Objective Optimization Algorithms (29 papers), Evolutionary Algorithms and Applications (28 papers), Image Enhancement Techniques (5 papers), Color Science and Applications (4 papers), Visual Attention and Saliency Detection (4 papers), Evolution and Genetic Dynamics (3 papers) and Computer Graphics and Visualization Techniques (3 papers). The work is most often cited by research in Computational Theory and Mathematics (479 citations), Artificial Intelligence (703 citations), Management Science and Operations Research (59 citations), Numerical Analysis (20 citations) and Industrial and Manufacturing Engineering (32 citations). Dirk V. Arnold has collaborated with scholars based in Canada, Germany and Austria. Frequent co-authors include Hans-Georg Beyer, Ralf Salomon, Sandor Markon, Thomas Bäck, Evangelos Milios, Stephen Brooks, Silja Meyer-Nieberg, Robert F. Hadley, Vlad C. Cardei and Jonathan E. Rowe. Their work appears in journals such as Evolutionary Computation, IEEE Transactions on Evolutionary Computation, Theoretical Computer Science, Genetic Programming and Evolvable Machines and Computational Optimization and 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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