Erich Schubert

32 papers and 2.7k indexed citations i.

About

Erich Schubert is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Erich Schubert has authored 32 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 8 papers in Signal Processing and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Erich Schubert’s work include Anomaly Detection Techniques and Applications (9 papers), Advanced Clustering Algorithms Research (6 papers) and Data Management and Algorithms (6 papers). Erich Schubert is often cited by papers focused on Anomaly Detection Techniques and Applications (9 papers), Advanced Clustering Algorithms Research (6 papers) and Data Management and Algorithms (6 papers). Erich Schubert collaborates with scholars based in Germany, Canada and Denmark. Erich Schubert's co-authors include Arthur Zimek, Jörg Sander, Hans‐Peter Kriegel, Xiaowei Xu, Martin Ester, Ira Assent, Michael E. Houle, Guilherme O. Campos, Barbora Micenková and Ricardo J. G. B. Campello and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM Transactions on Database Systems and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Erich Schubert i

Fields of papers citing papers by Erich Schubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Erich Schubert

Since Specialization
Citations

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