Oliver Giel

555 citations
11 papers · 207 indexed · h-index 6
Topics
Optimization and Search Problems (5 papers)Metaheuristic Optimization Algorithms Research (4 papers)Advanced Multi-Objective Optimization Algorithms (4 papers)
Journals
Journal of Computer and System SciencesEvolutionary ComputationUniversity of Southern Denmark Research Portal (University of Southern Denmark)

In The Last Decade

Oliver Giel

10 papers receiving 198 citations

Peers

Oliver Giel
Comparison fields: 5 of 29
  • Artificial Intelligence 158
  • Computational Theory and Mathematics 139
  • Computer Networks and Communications 46
  • Management Science and Operations Research 20
  • Industrial and Manufacturing Engineering 16
Replace Fernando Sáenz-Pérez with:
Fernando Sáenz-Pérez Spain
Andrea Formisano Italy
Simone Tini Italy
Nicolas Beldiceanu France
Nadarajen Veerapen United Kingdom
Werner Emde Germany
Ashutosh Trivedi United States
Ana Silva Brazil
Chao Bian China
Oliver Giel relative to Fernando Sáenz-Pérez Spain Fernando Sáenz-Pérez's profile →
Citations per field
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Fernando Sáenz-Pérez · 1×
Citations per year

Countries citing papers authored by Oliver Giel

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Giel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Giel

This figure shows the co-authorship network connecting the top 25 collaborators of Oliver Giel. A scholar is included among the top collaborators of Oliver Giel 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 Oliver Giel. Oliver Giel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 42
2 12
3 26
4 3
5 2
6 30
7 5
8 78
9 1
10 6
11 2

About Oliver Giel

Oliver Giel is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Computer Networks and Communications, having authored 11 papers that have together received 207 indexed citations. Recurring topics across this work include Optimization and Search Problems (5 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). The work is most often cited by research in Computational Theory and Mathematics (139 citations), Artificial Intelligence (158 citations) and Software (8 citations). Oliver Giel has collaborated with scholars based in Germany, Denmark and United Kingdom. Frequent co-authors include Per Kristian Lehre, Susanne Albers, Lene M. Favrholdt and Ingo Wegener. Their work appears in journals such as Journal of Computer and System Sciences, Evolutionary Computation and University of Southern Denmark Research Portal (University of Southern Denmark).

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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