Marius Lindauer
Impact in
- Artificial Intelligence top 2%
- Machine Learning and Data Classification
- Metaheuristic Optimization Algorithms Research
- Machine Learning and Algorithms
- Evolutionary Algorithms and Applications
- Data Stream Mining Techniques
- Reinforcement Learning in Robotics
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- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Machine Learning and Data Classification 18
- Machine Learning and Algorithms 11
- Metaheuristic Optimization Algorithms Research 7
- Evolutionary Algorithms and Applications 5
- Reinforcement Learning in Robotics 4
- Data Stream Mining Techniques 4
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- Advanced Multi-Objective Optimization Algorithms 7
- Co-authors
- Frank Hutter (16 shared papers)Holger H. Hoos (11 shared papers)Bernd Bischl (3 shared papers)Torsten Schaub (7 shared papers)Difan Deng (1 shared paper)Anne‐Laure Boulesteix (1 shared paper)Theresa Ullmann (1 shared paper)Janek Thomas (1 shared paper)
- Journals
- Journal of Artificial Intelligence Research (4 papers)Artificial Intelligence (3 papers)Theory and Practice of Logic Programming (2 papers)Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (1 paper)Trends in Plant Science (1 paper)
- Partner nations
- GermanyCanadaUnited States
In The Last Decade
Marius Lindauer
34 papers receiving 1.0k citations
Marius Lindauer's Hit Papers
Peers
Comparison fields: 5 of 136
- Artificial Intelligence 524
- Computational Theory and Mathematics 165
- Software 36
- Industrial and Manufacturing Engineering 87
- Management Science and Operations Research 85
Countries citing papers authored by Marius Lindauer
This map shows the geographic impact of Marius Lindauer'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 Marius Lindauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marius Lindauer more than expected).
Fields of papers citing papers by Marius Lindauer
This network shows the impact of papers produced by Marius Lindauer. 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 Marius Lindauer. The network helps show where Marius Lindauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Marius Lindauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges Hit paper breakdown → | 2023 | 455 |
| 2 | 2016 | 116 | |
| 3 | 2021 | 103 | |
| 4 | 2015 | 56 | |
| 5 | 2022 | 51 | |
| 6 | 2014 | 39 | |
| 7 | 2018 | 24 | |
| 8 | 2019 | 24 | |
| 9 | 2017 | 21 | |
| 10 | 2017 | 20 | |
| 11 | 2014 | 20 | |
| 12 | 2016 | 18 | |
| 13 | 2022 | 16 | |
| 14 | 2020 | 9 | |
| 15 | Open Algorithm Selection Challenge 2017: Setup and Scenarios. | 2017 | 9 |
| 16 | 2017 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2019 | 5 |
About Marius Lindauer
Marius Lindauer is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (18 papers), Machine Learning and Algorithms (11 papers), Metaheuristic Optimization Algorithms Research (7 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Evolutionary Algorithms and Applications (5 papers), Reinforcement Learning in Robotics (4 papers), Data Stream Mining Techniques (4 papers) and Constraint Satisfaction and Optimization (4 papers). The work is most often cited by research in Artificial Intelligence (524 citations), Computational Theory and Mathematics (165 citations), Software (36 citations), Industrial and Manufacturing Engineering (87 citations) and Management Science and Operations Research (85 citations). Marius Lindauer has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Frank Hutter, Holger H. Hoos, Bernd Bischl, Torsten Schaub, Difan Deng, Anne‐Laure Boulesteix, Theresa Ullmann, Janek Thomas, Tobias Pielok and Michel Lang. Their work appears in journals such as Journal of Artificial Intelligence Research, Artificial Intelligence, Theory and Practice of Logic Programming, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery and Trends in Plant 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.