Florian Pfisterer

864 total citations
17 papers, 380 citations indexed

About

Florian Pfisterer is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Safety Research. According to data from OpenAlex, Florian Pfisterer has authored 17 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 3 papers in Safety Research. Recurrent topics in Florian Pfisterer's work include Machine Learning and Data Classification (7 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Explainable Artificial Intelligence (XAI) (4 papers). Florian Pfisterer is often cited by papers focused on Machine Learning and Data Classification (7 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Explainable Artificial Intelligence (XAI) (4 papers). Florian Pfisterer collaborates with scholars based in Germany, United States and United Kingdom. Florian Pfisterer's co-authors include Bernd Bischl, Martin Binder, Michel Lang, Stefan Coors, Jakob Richter, Lars Kotthoff, Patrick Schratz, Giuseppe Casalicchio, Quay Au and Janek Thomas and has published in prestigious journals such as Journal of Biomechanics, IEEE Transactions on Evolutionary Computation and Journal of Statistical Software.

In The Last Decade

Florian Pfisterer

17 papers receiving 368 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Florian Pfisterer Germany 6 116 52 33 31 22 17 380
Lucas Mentch United States 13 168 1.4× 46 0.9× 32 1.0× 19 0.6× 15 0.7× 28 498
Ernest Yeboah Boateng Ghana 5 105 0.9× 25 0.5× 29 0.9× 27 0.9× 23 1.0× 12 487
Giuseppe Casalicchio Germany 9 180 1.6× 100 1.9× 57 1.7× 43 1.4× 32 1.5× 20 635
Huazhen Wang China 11 160 1.4× 100 1.9× 32 1.0× 14 0.5× 16 0.7× 31 521
Weirong Chen United States 14 125 1.1× 81 1.6× 27 0.8× 12 0.4× 11 0.5× 63 560
Rosario Delgado Spain 10 92 0.8× 18 0.3× 26 0.8× 23 0.7× 13 0.6× 37 460
Stefan Gerd Fritsch Germany 2 81 0.7× 43 0.8× 99 3.0× 43 1.4× 15 0.7× 5 569
Frauke Günther Germany 6 81 0.7× 77 1.5× 98 3.0× 41 1.3× 16 0.7× 7 636
Zachary Jones United States 4 74 0.6× 40 0.8× 21 0.6× 24 0.8× 13 0.6× 5 300
Manisha Sirsat Spain 8 127 1.1× 32 0.6× 63 1.9× 42 1.4× 98 4.5× 12 627

Countries citing papers authored by Florian Pfisterer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Florian Pfisterer

This figure shows the co-authorship network connecting the top 25 collaborators of Florian Pfisterer. A scholar is included among the top collaborators of Florian Pfisterer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Florian Pfisterer. Florian Pfisterer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Simson, Jan, Florian Pfisterer, & Christoph Kern. (2024). One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions. MADOC (University of Mannheim). 1305–1320. 4 indexed citations
2.
Pfisterer, Florian, Matthias Feurer, Katharina Eggensperger, et al.. (2024). Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML. Journal of Artificial Intelligence Research. 79. 639–677. 10 indexed citations
3.
Liew, Bernard X. W., Florian Pfisterer, David Rügamer, & Xiaojun Zhai. (2024). Strategies to optimise machine learning classification performance when using biomechanical features. Journal of Biomechanics. 165. 111998–111998. 6 indexed citations
4.
Pielok, Tobias, Florian Pfisterer, Stefan Coors, et al.. (2023). Multi-Objective Hyperparameter Optimization in Machine Learning—An Overview. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 3(4). 1–50. 36 indexed citations
5.
Herrmann, Moritz, Florian Pfisterer, & Fabian Scheipl. (2023). A geometric framework for outlier detection in high‐dimensional data. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 13(3). 2 indexed citations
6.
Rügamer, David, Florian Pfisterer, Bernd Bischl, & Bettina Grün. (2023). Mixture of experts distributional regression: implementation using robust estimation with adaptive first-order methods. AStA Advances in Statistical Analysis. 108(2). 351–373. 3 indexed citations
7.
Rügamer, David, Florian Pfisterer, Bernd Bischl, et al.. (2023). deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression. Journal of Statistical Software. 105(2). 2 indexed citations
8.
Binder, Martin, Florian Pfisterer, Marc Becker, et al.. (2022). Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers. IEEE Transactions on Evolutionary Computation. 26(6). 1336–1350. 2 indexed citations
9.
Pargent, Florian, Florian Pfisterer, Janek Thomas, & Bernd Bischl. (2022). Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features. Computational Statistics. 37(5). 2671–2692. 63 indexed citations
10.
Pfisterer, Florian, et al.. (2022). A collection of quality diversity optimization problems derived from hyperparameter optimization of machine learning models. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 2136–2142. 2 indexed citations
11.
Pfisterer, Florian, et al.. (2022). Multi-objective counterfactual fairness. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 328–331. 1 indexed citations
12.
Pfisterer, Florian, et al.. (2021). mcboost: Multi-Calibration Boosting for R. The Journal of Open Source Software. 6(64). 3453–3453. 1 indexed citations
13.
Binder, Martin, et al.. (2021). mlr3pipelines - Flexible Machine Learning Pipelines in R. Journal of Machine Learning Research. 22(184). 1–7. 9 indexed citations
14.
Binder, Martin, et al.. (2021). Preprocessing Operators and Pipelines for 'mlr3' [R package mlr3pipelines version 0.3.6-1]. 1 indexed citations
15.
Lang, Michel, Martin Binder, Jakob Richter, et al.. (2019). mlr3: A modern object-oriented machine learning framework in R. The Journal of Open Source Software. 4(44). 1903–1903. 235 indexed citations
16.
Rijn, Jan N. van, Florian Pfisterer, Janek Thomas, et al.. (2018). Meta learning for defaults: symbolic defaults. Data Archiving and Networked Services (DANS). 2 indexed citations
17.
Pfisterer, Florian, Andreas Bender, Helmut Küchenhoff, et al.. (2017). Kosten als Instrument zur Effizienzbeurteilung intensivmedizinischer Funktionseinheiten. Medizinische Klinik - Intensivmedizin und Notfallmedizin. 113(7). 567–573. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Lucas Mentch Breakdown of academic impact, for papers by Ernest Yeboah Boateng Breakdown of academic impact, for papers by Giuseppe Casalicchio Breakdown of academic impact, for papers by Huazhen Wang Breakdown of academic impact, for papers by Weirong Chen Breakdown of academic impact, for papers by Rosario Delgado Breakdown of academic impact, for papers by Stefan Gerd Fritsch Breakdown of academic impact, for papers by Frauke Günther Breakdown of academic impact, for papers by Zachary Jones Breakdown of academic impact, for papers by Manisha Sirsat
Rankless by CCL
2026