Florian Pfisterer
Impact in
- Artificial Intelligence top 10%
- Machine Learning and Data Classification
- Explainable Artificial Intelligence (XAI)
- Imbalanced Data Classification Techniques
- Metaheuristic Optimization Algorithms Research
- Machine Learning in Healthcare
Papers in
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- Machine Learning and Data Classification 9
- Explainable Artificial Intelligence (XAI) 4
- Metaheuristic Optimization Algorithms Research 3
- Data Analysis with R 3
- Machine Learning and Algorithms 2
- Privacy-Preserving Technologies in Data 2
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- Advanced Multi-Objective Optimization Algorithms 5
- Co-authors
- Bernd Bischl (15 shared papers)Michel Lang (6 shared papers)Martin Binder (5 shared papers)Jakob Richter (2 shared papers)Stefan Coors (2 shared papers)Lars Kotthoff (3 shared papers)Patrick Schratz (1 shared paper)Quay Au (1 shared paper)
- Journals
- Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (1 paper)Journal of Biomechanics (1 paper)IEEE Transactions on Evolutionary Computation (1 paper)Journal of Machine Learning Research (1 paper)AStA Advances in Statistical Analysis (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Florian Pfisterer
21 papers receiving 432 citations
Florian Pfisterer's Hit Papers
Peers
Comparison fields: 5 of 130
- Artificial Intelligence 132
- Health Informatics 5
- Health Information Management 11
- Environmental Engineering 34
- Statistics and Probability 16
Countries citing papers authored by Florian Pfisterer
This map shows the geographic impact of Florian Pfisterer'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 Florian Pfisterer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Pfisterer more than expected).
Fields of papers citing papers by Florian Pfisterer
This network shows the impact of papers produced by Florian Pfisterer. 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 Florian Pfisterer. The network helps show where Florian Pfisterer may publish in the future.
Co-authors
The 25 scholars most cited alongside Florian Pfisterer, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | mlr3: A modern object-oriented machine learning framework in R Hit paper breakdown → | 2019 | 260 |
| 2 | 2022 | 74 | |
| 3 | 2023 | 44 | |
| 4 | mlr3pipelines - Flexible Machine Learning Pipelines in R | 2021 | 11 |
| 5 | 2024 | 11 | |
| 6 | 2024 | 6 | |
| 7 | 2019 | 6 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 3 | |
| 11 | Meta learning for defaults: symbolic defaults | 2018 | 3 |
| 12 | 2023 | 3 | |
| 13 | 2022 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2017 | 1 | |
| 20 | Preprocessing Operators and Pipelines for 'mlr3' [R package mlr3pipelines version 0.3.6-1] | 2021 | 1 |
About Florian Pfisterer
Florian Pfisterer is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Safety Research, Statistics and Probability and Signal Processing, having authored 21 papers that have together received 445 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (9 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Ethics and Social Impacts of AI (5 papers), Explainable Artificial Intelligence (XAI) (4 papers), Metaheuristic Optimization Algorithms Research (3 papers), Data Analysis with R (3 papers), Machine Learning and Algorithms (2 papers) and Privacy-Preserving Technologies in Data (2 papers). The work is most often cited by research in Artificial Intelligence (132 citations), Health Informatics (5 citations), Health Information Management (11 citations), Environmental Engineering (34 citations) and Statistics and Probability (16 citations). Florian Pfisterer has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Bernd Bischl, Michel Lang, Martin Binder, Jakob Richter, Stefan Coors, Lars Kotthoff, Patrick Schratz, Quay Au, Giuseppe Casalicchio and Janek Thomas. Their work appears in journals such as Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Journal of Biomechanics, IEEE Transactions on Evolutionary Computation, Journal of Machine Learning Research and AStA Advances in Statistical Analysis.
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.