Jakob Bossek

1.2k citations
47 papers · 355 indexed · h-index 11
Topics
Metaheuristic Optimization Algorithms Research (26 papers)Advanced Multi-Objective Optimization Algorithms (18 papers)Vehicle Routing Optimization Methods (16 papers)

In The Last Decade

Jakob Bossek

44 papers receiving 347 citations

Peers

Jakob Bossek
Comparison fields: 5 of 66
  • Artificial Intelligence 240
  • Computational Theory and Mathematics 157
  • Industrial and Manufacturing Engineering 126
  • Computer Networks and Communications 59
  • Management Science and Operations Research 39
Replace Emin Erkan Korkmaz with:
Emin Erkan Korkmaz Türkiye
Kati Wolter Germany
Quentin Louveaux Belgium
María-Cristina Riff Chile
Santiago Enrique Conant-Pablos Mexico
Oliver Bastert Germany
Eduardo Rodríguez-Tello Mexico
Guangzhou Zeng China
Carlos Cruz Spain
Marco Maratea Italy
Jakob Bossek relative to Emin Erkan Korkmaz Türkiye Emin Erkan Korkmaz's profile →
Citations per field
00.5×5.9×
Emin Erkan Korkmaz · 1×
Citations per year

Countries citing papers authored by Jakob Bossek

Since Specialization
Citations

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

Fields of papers citing papers by Jakob Bossek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakob Bossek

This figure shows the co-authorship network connecting the top 25 collaborators of Jakob Bossek. A scholar is included among the top collaborators of Jakob Bossek 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 Jakob Bossek. Jakob Bossek 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
1 1
2 0
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12 0
13 5
14 7
15 2
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17 47
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About Jakob Bossek

Jakob Bossek is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics and Artificial Intelligence, having authored 47 papers that have together received 355 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (26 papers), Advanced Multi-Objective Optimization Algorithms (18 papers) and Vehicle Routing Optimization Methods (16 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (126 citations), Computational Theory and Mathematics (157 citations) and Artificial Intelligence (240 citations). Jakob Bossek has collaborated with scholars based in Germany, Australia and Netherlands. Frequent co-authors include Frank Neumann, Heike Trautmann, Pascal Kerschke, Aneta Neumann, Markus Wagner, Bernd Bischl, Holger H. Hoos, Lars Kotthoff, Christian Grimme and Olaf Mersmann. Their work appears in journals such as Applied Soft Computing, Applied Sciences and Theoretical Computer Science.

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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