Kai Eckert

25 papers and 133 indexed citations i.

About

Kai Eckert is a scholar working on Artificial Intelligence, Information Systems and Information Systems and Management. According to data from OpenAlex, Kai Eckert has authored 25 papers receiving a total of 133 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 8 papers in Information Systems and 5 papers in Information Systems and Management. Recurrent topics in Kai Eckert’s work include Semantic Web and Ontologies (11 papers), Advanced Text Analysis Techniques (8 papers) and Topic Modeling (7 papers). Kai Eckert is often cited by papers focused on Semantic Web and Ontologies (11 papers), Advanced Text Analysis Techniques (8 papers) and Topic Modeling (7 papers). Kai Eckert collaborates with scholars based in Germany, United States and Italy. Kai Eckert's co-authors include Anne Lauscher, Goran Glavašš, Simone Paolo Ponzetto, Heiko Paulheim, Robert Meusel, Christian Bizer, Stefano Faralli, Heiner Stuckenschmidt, Dominique Ritze and Ansgar Scherp and has published in prestigious journals such as Language Resources and Evaluation, Journal of the Association for Information Science and Technology and Library Hi Tech.

In The Last Decade

Co-authorship network of co-authors of Kai Eckert i

Fields of papers citing papers by Kai Eckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kai Eckert

Since Specialization
Citations

This map shows the geographic impact of Kai Eckert'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 Kai Eckert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Eckert 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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2025