Christoph F. Eick

37 papers and 210 indexed citations i.

About

Christoph F. Eick is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Christoph F. Eick has authored 37 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 15 papers in Signal Processing and 10 papers in Information Systems. Recurrent topics in Christoph F. Eick’s work include Data Management and Algorithms (13 papers), Data Mining Algorithms and Applications (8 papers) and Advanced Database Systems and Queries (6 papers). Christoph F. Eick is often cited by papers focused on Data Management and Algorithms (13 papers), Data Mining Algorithms and Applications (8 papers) and Advanced Database Systems and Queries (6 papers). Christoph F. Eick collaborates with scholars based in United States, France and Germany. Christoph F. Eick's co-authors include Wei Ding, Ricardo Vilalta, Jean‐Philippe Nicot, Sujing Wang, T. F. Stepinski, Jing Wang, Xiaojing Yuan, Yongli Zhang, Seungchan Lee and Dan Jiang and has published in prestigious journals such as Information Sciences, IEEE Transactions on Knowledge and Data Engineering and Computers & Geosciences.

In The Last Decade

Co-authorship network of co-authors of Christoph F. Eick i

Fields of papers citing papers by Christoph F. Eick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christoph F. Eick. 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 Christoph F. Eick. The network helps show where Christoph F. Eick may publish in the future.

Countries citing papers authored by Christoph F. Eick

Since Specialization
Citations

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