Thomas Zeugmann

49 papers and 396 indexed citations i.

Thomas Zeugmann has authored 49 papers that have received a total of 396 indexed citations. This includes 36 papers in Artificial Intelligence, 28 papers in Computational Theory and Mathematics and 6 papers in Computer Networks and Communications. The topics of these papers are Machine Learning and Algorithms (33 papers), Algorithms and Data Compression (21 papers) and Computability, Logic, AI Algorithms (19 papers). Thomas Zeugmann is often cited by papers focused on Machine Learning and Algorithms (33 papers), Algorithms and Data Compression (21 papers) and Computability, Logic, AI Algorithms (19 papers) and collaborates with scholars based in Japan, Germany and United States. Thomas Zeugmann's co-authors include Steffen Lange, Rolf Wiehagen, Sandra Zilles, Efim Kinber and Carl H. Smith and has published in prestigious journals such as Machine Learning, Journal of Computer and System Sciences and Theoretical Computer Science