Thomas Geier

11 papers and 91 indexed citations i.

About

Thomas Geier is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Thomas Geier has authored 11 papers receiving a total of 91 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in Thomas Geier’s work include AI-based Problem Solving and Planning (5 papers), Logic, Reasoning, and Knowledge (2 papers) and Distributed Constraint Optimization Problems and Algorithms (2 papers). Thomas Geier is often cited by papers focused on AI-based Problem Solving and Planning (5 papers), Logic, Reasoning, and Knowledge (2 papers) and Distributed Constraint Optimization Problems and Algorithms (2 papers). Thomas Geier collaborates with scholars based in Germany and The Netherlands. Thomas Geier's co-authors include Susanne Biundo, Pascal Bercher, Bernd Schattenberg, Florian Nothdurft, Felix Richter, Michael Weber, Wolfgang Minker, Heinz Ulbrich, Stephan Reuter and Günther Palm and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Cognitive Systems Research.

In The Last Decade

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

Fields of papers citing papers by Thomas Geier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Thomas Geier

Since Specialization
Citations

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