Thomas Rölleke

10 papers and 240 indexed citations i.

About

Thomas Rölleke is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Thomas Rölleke has authored 10 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Signal Processing and 4 papers in Computer Networks and Communications. Recurrent topics in Thomas Rölleke’s work include Semantic Web and Ontologies (6 papers), Data Management and Algorithms (5 papers) and Advanced Database Systems and Queries (3 papers). Thomas Rölleke is often cited by papers focused on Semantic Web and Ontologies (6 papers), Data Management and Algorithms (5 papers) and Advanced Database Systems and Queries (3 papers). Thomas Rölleke collaborates with scholars based in United Kingdom, Germany and United States. Thomas Rölleke's co-authors include Norbert Fuhr, Gerhard Weikum, Sihem Amer-Yahia, Jayavel Shanmugasundaram, Theodora Tsikrika, Gabriella Kazai, Mounia Lalmas, Patrick G. T. Healey, A.J. Pearmain and Andreas Henrich and has published in prestigious journals such as Information Processing & Management, ACM SIGMOD Record and EURASIP Journal on Advances in Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Thomas Rölleke i

Fields of papers citing papers by Thomas Rölleke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Thomas Rölleke

Since Specialization
Citations

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