Florian Pfisterer
Impact in
- Artificial Intelligence top 10%
- Machine Learning and Data Classification
- Explainable Artificial Intelligence (XAI)
- Imbalanced Data Classification Techniques
- Machine Learning in Healthcare
- Anomaly Detection Techniques and Applications
Papers in
-
- Machine Learning and Data Classification 7
- Explainable Artificial Intelligence (XAI) 4
- Data Analysis with R 3
- Metaheuristic Optimization Algorithms Research 2
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- Advanced Multi-Objective Optimization Algorithms 4
- Co-authors
- Bernd Bischl (13 shared papers)Michel Lang (5 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
- Journal of Biomechanics (1 paper)Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (1 paper)Journal of Artificial Intelligence Research (1 paper)Journal of Statistical Software (1 paper)AStA Advances in Statistical Analysis (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Florian Pfisterer
17 papers receiving 368 citations
Peers
Comparison fields: 5 of 130
- Artificial Intelligence 116
- Health Informatics 4
- Environmental Engineering 33
- Health Information Management 10
- Neuropsychology and Physiological Psychology 3
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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 235 | |
| 2 | 2022 | 63 | |
| 3 | 2023 | 36 | |
| 4 | 2024 | 10 | |
| 5 | mlr3pipelines - Flexible Machine Learning Pipelines in R | 2021 | 9 |
| 6 | 2024 | 6 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 2 | |
| 10 | Meta learning for defaults: symbolic defaults | 2018 | 2 |
| 11 | 2023 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2021 | 1 | |
| 15 | Preprocessing Operators and Pipelines for 'mlr3' [R package mlr3pipelines version 0.3.6-1] | 2021 | 1 |
| 16 | 2017 | 1 | |
| 17 | 2022 | 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 17 papers that have together received 380 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (7 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Explainable Artificial Intelligence (XAI) (4 papers), Ethics and Social Impacts of AI (3 papers), Data Analysis with R (3 papers), Time Series Analysis and Forecasting (2 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Artificial Intelligence (116 citations), Health Informatics (4 citations), Environmental Engineering (33 citations), Health Information Management (10 citations) and Neuropsychology and Physiological Psychology (3 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 Journal of Biomechanics, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Journal of Artificial Intelligence Research, Journal of Statistical Software 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.