André Biedenkapp
Impact in
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- Evolutionary Algorithms and Applications
- Reinforcement Learning in Robotics
- Metaheuristic Optimization Algorithms Research
- Machine Learning and Data Classification
- Machine Learning and Algorithms
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Evolutionary Algorithms and Applications 4
- Machine Learning and Data Classification 4
- Reinforcement Learning in Robotics 3
- Metaheuristic Optimization Algorithms Research 3
- Artificial Intelligence in Games 1
- Natural Language Processing Techniques 1
- Bayesian Modeling and Causal Inference 1
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- Advanced Multi-Objective Optimization Algorithms 2
- Co-authors
- Frank Hutter (7 shared papers)Marius Lindauer (4 shared papers)Baohe Zhang (2 shared papers)Roberto Calandra (2 shared papers)Aleksandra Faust (1 shared paper)Yingjie Miao (1 shared paper)Vu Nguyen (1 shared paper)Xingyou Song (1 shared paper)
- Journals
- Journal of Artificial Intelligence Research (3 papers)arXiv (Cornell University) (1 paper)International Conference on Artificial Intelligence and Statistics (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)Proceedings of the Genetic and Evolutionary Computation Conference (1 paper)
- Partner nations
- GermanyIndiaUnited States
In The Last Decade
André Biedenkapp
6 papers receiving 92 citations
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 67
- Computational Theory and Mathematics 25
- Health Informatics 2
- Software 4
- Industrial and Manufacturing Engineering 9
Countries citing papers authored by André Biedenkapp
This map shows the geographic impact of André Biedenkapp'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 André Biedenkapp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Biedenkapp more than expected).
Fields of papers citing papers by André Biedenkapp
This network shows the impact of papers produced by André Biedenkapp. 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 André Biedenkapp. The network helps show where André Biedenkapp may publish in the future.
Co-authors
The 17 scholars most cited alongside André Biedenkapp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 51 | |
| 2 | 2017 | 20 | |
| 3 | 2022 | 16 | |
| 4 | On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning | 2021 | 3 |
| 5 | 2022 | 3 | |
| 6 | 2021 | 2 | |
| 7 | 2023 | 0 |
About André Biedenkapp
André Biedenkapp is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Infectious Diseases, Organic Chemistry and Surgery, having authored 7 papers that have together received 95 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (4 papers), Machine Learning and Data Classification (4 papers), Reinforcement Learning in Robotics (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Artificial Intelligence in Games (1 paper), Natural Language Processing Techniques (1 paper) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Artificial Intelligence (67 citations), Computational Theory and Mathematics (25 citations), Health Informatics (2 citations), Software (4 citations) and Industrial and Manufacturing Engineering (9 citations). André Biedenkapp has collaborated with scholars based in Germany, India and United States. Frequent co-authors include Frank Hutter, Marius Lindauer, Baohe Zhang, Roberto Calandra, Aleksandra Faust, Yingjie Miao, Vu Nguyen, Xingyou Song, Jack Parker-Holder and Katharina Eggensperger. Their work appears in journals such as Journal of Artificial Intelligence Research, arXiv (Cornell University), International Conference on Artificial Intelligence and Statistics, Proceedings of the AAAI Conference on Artificial Intelligence and Proceedings of the Genetic and Evolutionary Computation Conference.
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.