Bernd Bischl
Impact in
- Artificial Intelligence top 0.5%
- Machine Learning and Data Classification
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Machine Learning and Algorithms
- Imbalanced Data Classification Techniques
- Explainable Artificial Intelligence (XAI)
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- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Machine Learning and Data Classification 37
- Metaheuristic Optimization Algorithms Research 13
- Explainable Artificial Intelligence (XAI) 13
- Data Analysis with R 8
- Machine Learning and Algorithms 8
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- Advanced Multi-Objective Optimization Algorithms 18
- Co-authors
- Michel Lang (21 shared papers)Joaquin Vanschoren (13 shared papers)Luı́s Torgo (3 shared papers)Jan N. van Rijn (6 shared papers)Olaf Mersmann (9 shared papers)Jörg Rahnenführer (4 shared papers)Heike Trautmann (8 shared papers)Xudong Sun (2 shared papers)
- Journals
- Data Mining and Knowledge Discovery (4 papers)Evolutionary Computation (3 papers)IEEE Access (2 papers)Journal of Statistical Software (2 papers)Journal of Machine Learning Research (2 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Bernd Bischl
106 papers receiving 3.9k citations
Bernd Bischl's Hit Papers
Peers
Comparison fields: 5 of 204
- Artificial Intelligence 1.9k
- Computational Theory and Mathematics 504
- Health Informatics 37
- Statistics and Probability 196
- Health Information Management 93
Countries citing papers authored by Bernd Bischl
This map shows the geographic impact of Bernd Bischl'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 Bernd Bischl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernd Bischl more than expected).
Fields of papers citing papers by Bernd Bischl
This network shows the impact of papers produced by Bernd Bischl. 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 Bernd Bischl. The network helps show where Bernd Bischl may publish in the future.
Co-authors
The 25 scholars most cited alongside Bernd Bischl, 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | OpenML Hit paper breakdown → | 2014 | 576 |
| 2 | Benchmark for filter methods for feature selection in high-dimensional classification data Hit paper breakdown → | 2019 | 458 |
| 3 | Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges Hit paper breakdown → | 2023 | 398 |
| 4 | 2019 | 235 | |
| 5 | 2011 | 203 | |
| 6 | 2013 | 200 | |
| 7 | 2020 | 145 | |
| 8 | 2016 | 115 | |
| 9 | 2012 | 104 | |
| 10 | 2017 | 98 | |
| 11 | 2012 | 95 | |
| 12 | 2015 | 95 | |
| 13 | Tunability: Importance of Hyperparameters of Machine Learning Algorithms | 2019 | 76 |
| 14 | 2022 | 63 | |
| 15 | 2021 | 61 | |
| 16 | 2020 | 54 | |
| 17 | 2023 | 53 | |
| 18 | 2021 | 49 | |
| 19 | 2015 | 47 | |
| 20 | 2017 | 47 |
About Bernd Bischl
Bernd Bischl is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Signal Processing, Computer Vision and Pattern Recognition and Statistics and Probability, having authored 112 papers that have together received 4.0k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (37 papers), Advanced Multi-Objective Optimization Algorithms (18 papers), Metaheuristic Optimization Algorithms Research (13 papers), Explainable Artificial Intelligence (XAI) (13 papers), Statistical Methods and Inference (11 papers), Time Series Analysis and Forecasting (9 papers), Data Analysis with R (8 papers) and Machine Learning and Algorithms (8 papers). The work is most often cited by research in Artificial Intelligence (1.9k citations), Computational Theory and Mathematics (504 citations), Health Informatics (37 citations), Statistics and Probability (196 citations) and Health Information Management (93 citations). Bernd Bischl has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Michel Lang, Joaquin Vanschoren, Luı́s Torgo, Jan N. van Rijn, Olaf Mersmann, Jörg Rahnenführer, Heike Trautmann, Xudong Sun, Andrea Bommert and Claus Weihs. Their work appears in journals such as Data Mining and Knowledge Discovery, Evolutionary Computation, IEEE Access, Journal of Statistical Software and Journal of Machine Learning Research.
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.