Henrik Großkreutz

14 papers and 146 indexed citations i.

About

Henrik Großkreutz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Henrik Großkreutz has authored 14 papers receiving a total of 146 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Theory and Mathematics. Recurrent topics in Henrik Großkreutz’s work include Logic, Reasoning, and Knowledge (8 papers), AI-based Problem Solving and Planning (8 papers) and Semantic Web and Ontologies (6 papers). Henrik Großkreutz is often cited by papers focused on Logic, Reasoning, and Knowledge (8 papers), AI-based Problem Solving and Planning (8 papers) and Semantic Web and Ontologies (6 papers). Henrik Großkreutz collaborates with scholars based in Germany, United States and Greece. Henrik Großkreutz's co-authors include Gerhard Lakemeyer, Stefan Rüping, Mario Boley, Michael Beetz, Maren Bennewitz, Armin B. Cremers, Dirk Schulz, Wolfram Burgard, D. Fox and Dirk Hähnel and has published in prestigious journals such as Journal of Artificial Intelligence Research, Data Mining and Knowledge Discovery and IEEE Intelligent Systems.

In The Last Decade

Co-authorship network of co-authors of Henrik Großkreutz i

Fields of papers citing papers by Henrik Großkreutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Henrik Großkreutz

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025