Torsten Schaub

143 papers and 2.2k indexed citations i.

About

Torsten Schaub is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Torsten Schaub has authored 143 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Artificial Intelligence, 30 papers in Computational Theory and Mathematics and 26 papers in Computer Networks and Communications. Recurrent topics in Torsten Schaub’s work include Logic, Reasoning, and Knowledge (122 papers), Multi-Agent Systems and Negotiation (78 papers) and Logic, programming, and type systems (65 papers). Torsten Schaub is often cited by papers focused on Logic, Reasoning, and Knowledge (122 papers), Multi-Agent Systems and Negotiation (78 papers) and Logic, programming, and type systems (65 papers). Torsten Schaub collaborates with scholars based in Germany, France and Canada. Torsten Schaub's co-authors include Martin Gebser, Benjamin Kaufmann, Roland Kaminski, James P. Delgrande, Max Ostrowski, Hans Tompits, Holger H. Hoos, Kewen Wang, Marius Lindauer and Marius Schneider and has published in prestigious journals such as Bioinformatics, Artificial Intelligence and Annals of Operations Research.

In The Last Decade

Co-authorship network of co-authors of Torsten Schaub i

Fields of papers citing papers by Torsten Schaub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Torsten Schaub

Since Specialization
Citations

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