Matthias Feurer

3.9k total citations · 1 hit paper
9 papers, 1.0k citations indexed

About

Matthias Feurer is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems and Management. According to data from OpenAlex, Matthias Feurer has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 1 paper in Information Systems and Management. Recurrent topics in Matthias Feurer's work include Machine Learning and Algorithms (5 papers), Machine Learning and Data Classification (5 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). Matthias Feurer is often cited by papers focused on Machine Learning and Algorithms (5 papers), Machine Learning and Data Classification (5 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). Matthias Feurer collaborates with scholars based in Germany, Netherlands and India. Matthias Feurer's co-authors include Frank Hutter, Jost Tobias Springenberg, Aaron Klein, Katharina Eggensperger, Manuel Blum, Michael Weyrich, Thomas Bauernhansl, Joaquin Vanschoren, Noor H. Awad and Edward M. Bergman and has published in prestigious journals such as Journal of Artificial Intelligence Research, Patterns and wt Werkstattstechnik online.

In The Last Decade

Matthias Feurer

8 papers receiving 975 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Efficient and robust automated machine learning

2015 704 citations Matthias Feurer, Aaron Klein et al. Neural Information Processing Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthias Feurer Germany	6	651	128	123	92	70	9	1.0k
Aaron Klein Germany	8	753 1.2×	236 1.8×	129 1.0×	84 0.9×	76 1.1×	25	1.2k
Marius Lindauer Germany	12	492 0.8×	74 0.6×	149 1.2×	70 0.8×	77 1.1×	35	939
Autilia Vitiello Italy	18	549 0.8×	90 0.7×	91 0.7×	195 2.1×	69 1.0×	92	887
Prabhas Chongstitvatana Thailand	12	358 0.5×	68 0.5×	123 1.0×	97 1.1×	43 0.6×	103	707
Prachi Agrawal India	12	529 0.8×	220 1.7×	158 1.3×	54 0.6×	32 0.5×	39	967
Waqas Haider Bangyal Pakistan	19	600 0.9×	164 1.3×	85 0.7×	168 1.8×	34 0.5×	51	1.2k
Hossein Ebrahimpour-Komleh Iran	15	586 0.9×	289 2.3×	181 1.5×	77 0.8×	32 0.5×	77	974
Tayfun Küçükyılmaz Türkiye	7	423 0.6×	87 0.7×	166 1.3×	101 1.1×	52 0.7×	13	829
Ender Sevinç Türkiye	8	488 0.7×	120 0.9×	203 1.7×	74 0.8×	65 0.9×	18	946
Halina Kwaśnicka Poland	11	406 0.6×	122 1.0×	165 1.3×	76 0.8×	61 0.9×	55	1.0k

Countries citing papers authored by Matthias Feurer

Since Specialization

Citations

This map shows the geographic impact of Matthias Feurer'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 Matthias Feurer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Feurer more than expected).

Fields of papers citing papers by Matthias Feurer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthias Feurer. 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 Matthias Feurer. The network helps show where Matthias Feurer may publish in the future.

Co-authorship network of co-authors of Matthias Feurer

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Feurer. A scholar is included among the top collaborators of Matthias Feurer 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 Matthias Feurer. Matthias Feurer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Bischl, Bernd, Giuseppe Casalicchio, Matthias Feurer, et al.. (2025). OpenML: Insights from 10 years and more than a thousand papers. Patterns. 6(7). 101317–101317. 1 indexed citations

2.

Bergman, Edward M., Matthias Feurer, Lennart Purucker, et al.. (2024). AMLTK: A Modular AutoML Toolkit in Python. The Journal of Open Source Software. 9(100). 6367–6367. 1 indexed citations

3.

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

4.

Liewald, Mathias, et al.. (2023). Kontrolle und Identifizierung von Pressteilen im freien Fall/Control and identification of cold forged parts in free fall – The big hit: Process digitization in free fall in cold extrusion. wt Werkstattstechnik online. 113(10). 389–394.

5.

Bauernhansl, Thomas, et al.. (2020). System Architectures for Cyber-Physical Production Systems enabling Self-X and Autonomy. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 148–155. 10 indexed citations

6.

Klein, Aaron, et al.. (2016). Towards Automatically-Tuned Neural Networks. International Conference on Machine Learning. 58–65. 60 indexed citations

7.

Feurer, Matthias, Aaron Klein, Katharina Eggensperger, et al.. (2015). Efficient and robust automated machine learning. Neural Information Processing Systems. 28. 2755–2763. 704 indexed citations breakdown →

8.

Feurer, Matthias, Jost Tobias Springenberg, & Frank Hutter. (2015). Initializing Bayesian Hyperparameter Optimization via Meta-Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 211 indexed citations

9.

Feurer, Matthias, Jost Tobias Springenberg, & Frank Hutter. (2014). Using meta-learning to initialize bayesian optimization of hyperparameters. 3–10. 27 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.

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