Thomas Gabel

14 papers and 557 indexed citations i.

About

Thomas Gabel is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Thomas Gabel has authored 14 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Control and Systems Engineering and 4 papers in Computational Theory and Mathematics. Recurrent topics in Thomas Gabel’s work include Reinforcement Learning in Robotics (7 papers), Evolutionary Algorithms and Applications (4 papers) and Autonomous Vehicle Technology and Safety (2 papers). Thomas Gabel is often cited by papers focused on Reinforcement Learning in Robotics (7 papers), Evolutionary Algorithms and Applications (4 papers) and Autonomous Vehicle Technology and Safety (2 papers). Thomas Gabel collaborates with scholars based in Germany, Egypt and India. Thomas Gabel's co-authors include Alaa Tharwat, Martin Riedmiller, Aboul Ella Hassanien, Roland Hafner, Sascha Lange, Арун Кумар, Mohamed Elhoseny, Essam H. Houssein, Armin Stahl and Martin Lauer and has published in prestigious journals such as International Journal of Production Research, Neural Computing and Applications and Fisheries Research.

In The Last Decade

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

Fields of papers citing papers by Thomas Gabel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Thomas Gabel

Since Specialization
Citations

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