Stefan Coors

1.5k total citations · 1 hit paper
7 papers, 739 citations indexed

About

Stefan Coors is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Stefan Coors has authored 7 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Stefan Coors's work include Machine Learning and Data Classification (4 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). Stefan Coors is often cited by papers focused on Machine Learning and Data Classification (4 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). Stefan Coors collaborates with scholars based in Germany, United States and Switzerland. Stefan Coors's co-authors include Bernd Bischl, Martin Binder, Michel Lang, Jakob Richter, Tobias Pielok, Janek Thomas, Difan Deng, Marc Becker, Marius Lindauer and Theresa Ullmann and has published in prestigious journals such as Investigative Radiology, European Archives of Psychiatry and Clinical Neuroscience and Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery.

In The Last Decade

Stefan Coors

7 papers receiving 716 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.

Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges

2023 398 citations Bernd Bischl, Martin Binder et al. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefan Coors Germany	6	200	63	58	56	41	7	739
Martin Binder Germany	5	190 0.9×	69 1.1×	60 1.0×	58 1.0×	42 1.0×	10	693
Ekaba Bisong United States	3	228 1.1×	47 0.7×	45 0.8×	62 1.1×	38 0.9×	3	740
Waldemar Ratajczak Poland	8	196 1.0×	113 1.8×	51 0.9×	54 1.0×	46 1.1×	18	981
Su-Wen Huang Taiwan	5	161 0.8×	47 0.7×	51 0.9×	43 0.8×	30 0.7×	9	623
Alfonso Iodice D’Enza Italy	10	148 0.7×	99 1.6×	55 0.9×	49 0.9×	38 0.9×	20	1.3k
Steven J. Rigatti United States	3	176 0.9×	150 2.4×	61 1.1×	69 1.2×	35 0.9×	12	980
Alejandro Manuel Martín-Gómez Spain	10	341 1.7×	41 0.7×	49 0.8×	79 1.4×	29 0.7×	22	1.1k
Ana de las Heras Spain	8	333 1.7×	44 0.7×	31 0.5×	74 1.3×	29 0.7×	14	943
Amalia Luque Sendra Spain	9	350 1.8×	42 0.7×	33 0.6×	77 1.4×	28 0.7×	27	952
Nasir Ahmad Pakistan	13	322 1.6×	33 0.5×	55 0.9×	86 1.5×	37 0.9×	60	1.1k

Countries citing papers authored by Stefan Coors

Since Specialization

Citations

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

Fields of papers citing papers by Stefan Coors

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Coors

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

All Works

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7 of 7 papers shown

1.

Coors, Stefan, et al.. (2024). Machine learning for spelling acquisition: How accurate is the prediction of specific spelling errors in German primary school students?. Computers and Education Artificial Intelligence. 6. 100233–100233. 1 indexed citations

2.

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

3.

Stüber, Anna Theresa, Stefan Coors, Balthasar Schachtner, et al.. (2023). A Comprehensive Machine Learning Benchmark Study for Radiomics-Based Survival Analysis of CT Imaging Data in Patients With Hepatic Metastases of CRC. Investigative Radiology. 58(12). 874–881. 13 indexed citations

4.

Bischl, Bernd, Martin Binder, Michel Lang, et al.. (2023). Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 13(2). 398 indexed citations breakdown →

5.

Hilbert, Sven, Stefan Coors, Elisabeth Kraus, et al.. (2021). Machine learning for the educational sciences. Review of Education. 9(3). 49 indexed citations

6.

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

7.

Goerigk, Stephan, Sven Hilbert, Andrea Jobst, et al.. (2018). Predicting instructed simulation and dissimulation when screening for depressive symptoms. European Archives of Psychiatry and Clinical Neuroscience. 270(2). 153–168. 7 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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