Daniel Reidenbach
About
Daniel Reidenbach has authored 21 papers that have received a total of 108 indexed citations.
This includes 21 papers in Computational Theory and Mathematics, 18 papers in Artificial Intelligence and 7 papers in Molecular Biology. The topics of these papers are semigroups and automata theory (21 papers), Machine Learning and Algorithms (15 papers) and Algorithms and Data Compression (12 papers). Daniel Reidenbach is often cited by papers focused on semigroups and automata theory (21 papers), Machine Learning and Algorithms (15 papers) and Algorithms and Data Compression (12 papers) and collaborates with scholars based in United Kingdom, Germany and Canada. Daniel Reidenbach's co-authors include Dominik D. Freydenberger, Markus L. Schmid, Jeffrey Shallit and Robert Mercaş and has published in prestigious journals such as Journal of Computer and System Sciences, Theoretical Computer Science and Discrete Applied Mathematics.
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