Eyke Hüllermeier

210 papers and 6.4k indexed citations i.

About

Eyke Hüllermeier is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Eyke Hüllermeier has authored 210 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Artificial Intelligence, 37 papers in Computational Theory and Mathematics and 37 papers in Management Science and Operations Research. Recurrent topics in Eyke Hüllermeier’s work include Machine Learning and Data Classification (38 papers), Fuzzy Logic and Control Systems (30 papers) and Multi-Criteria Decision Making (28 papers). Eyke Hüllermeier is often cited by papers focused on Machine Learning and Data Classification (38 papers), Fuzzy Logic and Control Systems (30 papers) and Multi-Criteria Decision Making (28 papers). Eyke Hüllermeier collaborates with scholars based in Germany, France and Poland. Eyke Hüllermeier's co-authors include Willem Waegeman, Weiwei Cheng, Johannes Fürnkranz, Klaus Brinker, Eneldo Loza Mencía, Jürgen Beringer, Krzysztof Dembczyński, Robin Senge, G. Klebe and Nils Weskamp and has published in prestigious journals such as Bioinformatics, Journal of Molecular Biology and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Eyke Hüllermeier i

Fields of papers citing papers by Eyke Hüllermeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eyke Hüllermeier

Since Specialization
Citations

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

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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