Christoph Ringlstetter

14 papers and 120 indexed citations i.

About

Christoph Ringlstetter is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Christoph Ringlstetter has authored 14 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Christoph Ringlstetter’s work include Natural Language Processing Techniques (9 papers), Algorithms and Data Compression (6 papers) and Web Data Mining and Analysis (5 papers). Christoph Ringlstetter is often cited by papers focused on Natural Language Processing Techniques (9 papers), Algorithms and Data Compression (6 papers) and Web Data Mining and Analysis (5 papers). Christoph Ringlstetter collaborates with scholars based in Germany, Canada and Bulgaria. Christoph Ringlstetter's co-authors include Klaus U. Schulz, Stoyan Mihov, Andreas Neumann, Randy Goebel, Oleg V. Gerasimov, Grzegorz Kondrak, Benjamin Roth, Gunnar Aastrand Grimnes, Mohammad R. K. Mofrad and Sandra Zilles and has published in prestigious journals such as Pattern Recognition, Computational Linguistics and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Christoph Ringlstetter i

Fields of papers citing papers by Christoph Ringlstetter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Christoph Ringlstetter

Since Specialization
Citations

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