Tobias Friedrich

5.0k citations
176 papers · 2.3k indexed · h-index 25
Topics
Metaheuristic Optimization Algorithms Research (53 papers)Evolutionary Algorithms and Applications (48 papers)Advanced Multi-Objective Optimization Algorithms (44 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONECommunications of the ACM

In The Last Decade

Tobias Friedrich

163 papers receiving 2.2k citations

Peers

Tobias Friedrich
Comparison fields: 5 of 121
  • Artificial Intelligence 1.2k
  • Computational Theory and Mathematics 1.1k
  • Statistical and Nonlinear Physics 362
  • Computer Networks and Communications 354
  • Management Science and Operations Research 209
Replace Benjamin Doerr with:
Benjamin Doerr France
Sergiy Butenko United States
Heinz Mühlenbein Germany
Ivan Zelinka Czechia
Paul G. Spirakis Greece
Shalabh Bhatnagar India
Geert Jan Olsder Netherlands
Oleg A. Prokopyev United States
S. S. Ravi United States
Haitao Li China
Tobias Friedrich relative to Benjamin Doerr France Benjamin Doerr's profile →
Citations per field
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Benjamin Doerr · 1×
Citations per year

Countries citing papers authored by Tobias Friedrich

Since Specialization
Citations

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

Fields of papers citing papers by Tobias Friedrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tobias Friedrich

This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Friedrich. A scholar is included among the top collaborators of Tobias Friedrich 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 Tobias Friedrich. Tobias Friedrich 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
#WorkIndexed citations
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Adaptive Sampling for Fast Constrained Maximization of Submodular Functions
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14 2
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On the Enumeration of Minimal Hitting Sets in Lexicographical Order.
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16 50
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Diffusion of IS in companies using renewable resources and its impact on uncertainty
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18 10
19 5
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A Fast Feature Extraction System on Compressed Audio Data
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About Tobias Friedrich

Tobias Friedrich is a scholar working on Computational Theory and Mathematics, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 176 papers that have together received 2.3k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (53 papers), Evolutionary Algorithms and Applications (48 papers) and Advanced Multi-Objective Optimization Algorithms (44 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Artificial Intelligence (1.2k citations) and Statistical and Nonlinear Physics (362 citations). Tobias Friedrich has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Karl Bringmann, Frank Neumann, Mahmoud Fouz, Benjamin Doerr, Markus Wagner, Timo Kötzing, Martin S. Krejca, Nils Hebbinghaus, Andrew M. Sutton and Thomas Sauerwald. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Communications of the ACM.

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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