Gunnar König

585 total citations
4 papers, 105 citations indexed

About

Gunnar König is a scholar working on Artificial Intelligence, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Gunnar König has authored 4 papers receiving a total of 105 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 0 papers in Infectious Diseases and 0 papers in Organic Chemistry. Recurrent topics in Gunnar König's work include Machine Learning and Data Classification (4 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Bayesian Modeling and Causal Inference (2 papers). Gunnar König is often cited by papers focused on Machine Learning and Data Classification (4 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Bayesian Modeling and Causal Inference (2 papers). Gunnar König collaborates with scholars based in Germany and Austria. Gunnar König's co-authors include Christoph Molnar, Bernd Bischl, Giuseppe Casalicchio, Moritz Grosse‐Wentrup, Timo Freiesleben and Álvaro Tejero-Cantero and has published in prestigious journals such as Data Mining and Knowledge Discovery, Minds and Machines and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Gunnar König

4 papers receiving 104 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gunnar König Germany 4 40 8 7 7 7 4 105
Alexandros Zamichos Greece 5 18 0.5× 8 1.0× 6 0.9× 6 0.9× 3 0.4× 10 87
Nuzhat Fatema Malaysia 7 26 0.7× 16 2.0× 8 1.1× 6 0.9× 4 0.6× 22 108
Noah Hollmann United Kingdom 3 25 0.6× 6 0.8× 1 0.1× 4 0.6× 3 0.4× 5 142
Monalisa Nayak India 5 26 0.7× 9 1.1× 3 0.4× 9 1.3× 8 1.1× 14 58
V Kishore Ayyadevara 2 25 0.6× 6 0.8× 2 0.3× 6 0.9× 10 1.4× 2 86
Christos K. Aridas Greece 6 60 1.5× 12 1.5× 2 0.3× 3 0.4× 3 0.4× 8 92
J. S. Huang China 2 13 0.3× 14 1.8× 7 1.0× 3 0.4× 2 0.3× 5 62
Sarah Tan United States 7 84 2.1× 6 0.8× 6 0.9× 2 0.3× 4 0.6× 11 120
Lennart Purucker Germany 2 18 0.5× 6 0.8× 4 0.6× 3 0.4× 3 108
Yue Gong China 6 6 0.1× 9 1.1× 6 0.9× 5 0.7× 6 0.9× 14 90

Countries citing papers authored by Gunnar König

Since Specialization
Citations

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

Fields of papers citing papers by Gunnar König

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gunnar König

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

All Works

4 of 4 papers shown
1.
Freiesleben, Timo, Gunnar König, Christoph Molnar, & Álvaro Tejero-Cantero. (2024). Scientific Inference with Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena. Minds and Machines. 34(3). 9 indexed citations
2.
Molnar, Christoph, Gunnar König, Bernd Bischl, & Giuseppe Casalicchio. (2023). Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach. Data Mining and Knowledge Discovery. 38(5). 2903–2941. 53 indexed citations
3.
König, Gunnar, Timo Freiesleben, & Moritz Grosse‐Wentrup. (2023). Improvement-Focused Causal Recourse (ICR). Proceedings of the AAAI Conference on Artificial Intelligence. 37(10). 11847–11855. 4 indexed citations
4.
König, Gunnar, Christoph Molnar, Bernd Bischl, & Moritz Grosse‐Wentrup. (2021). Relative Feature Importance. 9318–9325. 39 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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2026