Bas van Stein

1.1k citations
58 papers · 525 · h-index 14

Impact in

Papers in

    • Metaheuristic Optimization Algorithms Research 13
    • Machine Learning and Data Classification 10
    • Evolutionary Algorithms and Applications 8
    • Explainable Artificial Intelligence (XAI) 5
    • Anomaly Detection Techniques and Applications 5
    • Advanced Multi-Objective Optimization Algorithms 22

Bas van Stein

55 papers receiving 514 citations

Peers

Bas van Stein
Comparison fields: 5 of 83
  • Computational Theory and Mathematics 163
  • Industrial and Manufacturing Engineering 76
  • Computer Graphics and Computer-Aided Design 25
  • Statistics, Probability and Uncertainty 50
  • Artificial Intelligence 227
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Citations per field
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Citations per year

Countries citing papers authored by Bas van Stein

Since Specialization
Citations

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

Fields of papers citing papers by Bas van Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bas van Stein. 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 Bas van Stein. The network helps show where Bas van Stein may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201743
2 201936
3 202233
4 202330
5 202328
6 201624
7 202122
8 202420
9 201919
10 202216
11 202016
12 202216
13 202215
14 201914
15 201712
16 202312
17 201911
18 202310
19 201710
20 20169

About Bas van Stein

Bas van Stein is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Industrial and Manufacturing Engineering and Control and Systems Engineering, having authored 58 papers that have together received 525 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (22 papers), Metaheuristic Optimization Algorithms Research (13 papers), Machine Learning and Data Classification (10 papers), Evolutionary Algorithms and Applications (8 papers), 3D Shape Modeling and Analysis (7 papers), Explainable Artificial Intelligence (XAI) (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Probabilistic and Robust Engineering Design (5 papers). The work is most often cited by research in Computational Theory and Mathematics (163 citations), Industrial and Manufacturing Engineering (76 citations), Computer Graphics and Computer-Aided Design (25 citations), Statistics, Probability and Uncertainty (50 citations) and Artificial Intelligence (227 citations). Bas van Stein has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Thomas Bäck, Hao Wang, Michael Emmerich, Stefan Menzel, Bernhard Sendhoff, Diederick Vermetten, Anna V. Kononova, Hao Wang, Matthijs van Leeuwen and Wojtek Kowalczyk. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Swarm and Evolutionary Computation, Memetic Computing, International Journal of Electrical Power & Energy Systems and ACM Computing Surveys.

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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