Thomas Hütter
Impact in
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- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
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- Chaos control and synchronization
Papers in
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- Logic, programming, and type systems 2
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- Advanced Database Systems and Queries 3
- Co-authors
- Andreas Uhl (2 shared papers)Stefan Katzenbeisser (1 shared paper)Hubert Missbauer (1 shared paper)Nikolaus Augsten (6 shared papers)Mateusz Pawlik (2 shared papers)Sabine Agatha (2 shared papers)Christoph Kirsch (4 shared papers)Johannes Fürnkranz (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (2 papers)ACM SIGPLAN Notices (1 paper)Data & Knowledge Engineering (1 paper)International Journal of Production Research (1 paper)IEEE Transactions on Information Forensics and Security (1 paper)
- Partner nations
- AustriaGermanySwitzerland
In The Last Decade
Thomas Hütter
16 papers receiving 320 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 202
- Statistical and Nonlinear Physics 43
- Mathematical Physics 28
- Computational Theory and Mathematics 48
- Industrial and Manufacturing Engineering 26
Countries citing papers authored by Thomas Hütter
This map shows the geographic impact of Thomas Hütter'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 Hütter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Hütter more than expected).
Fields of papers citing papers by Thomas Hütter
This network shows the impact of papers produced by Thomas Hütter. 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 Hütter. The network helps show where Thomas Hütter may publish in the future.
Co-authors
The 15 scholars most cited alongside Thomas Hütter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 212 | |
| 2 | 2017 | 32 | |
| 3 | 2020 | 24 | |
| 4 | 2019 | 15 | |
| 5 | 2023 | 9 | |
| 6 | 2015 | 6 | |
| 7 | 2019 | 5 | |
| 8 | 2022 | 5 | |
| 9 | 2016 | 4 | |
| 10 | 2014 | 3 | |
| 11 | 2025 | 2 | |
| 12 | 2012 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2014 | 1 | |
| 15 | 2023 | 1 | |
| 16 | DeSignate: detecting signature characters in gene sequence alignments for taxon diagnoses. | 2021 | 1 |
About Thomas Hütter
Thomas Hütter is a scholar working on Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research, Signal Processing and Hardware and Architecture, having authored 16 papers that have together received 323 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (3 papers), Data Quality and Management (3 papers), Parallel Computing and Optimization Techniques (3 papers), Data Management and Algorithms (2 papers), Advanced Steganography and Watermarking Techniques (2 papers), Chaos-based Image/Signal Encryption (2 papers), Logic, programming, and type systems (2 papers) and Web Data Mining and Analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (202 citations), Statistical and Nonlinear Physics (43 citations), Mathematical Physics (28 citations), Computational Theory and Mathematics (48 citations) and Industrial and Manufacturing Engineering (26 citations). Thomas Hütter has collaborated with scholars based in Austria, Germany and Switzerland. Frequent co-authors include Andreas Uhl, Stefan Katzenbeisser, Hubert Missbauer, Nikolaus Augsten, Mateusz Pawlik, Sabine Agatha, Christoph Kirsch, Johannes Fürnkranz, Chen Li and Martin Aigner. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGPLAN Notices, Data & Knowledge Engineering, International Journal of Production Research and IEEE Transactions on Information Forensics and Security.
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.