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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- Security and Verification in Computing 2
- Logic, programming, and type systems 2
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- Data Quality and Management 3
- Co-authors
- Andreas Uhl (1 shared paper)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)Chen Li (1 shared paper)Christoph Kirsch (3 shared papers)
- Journals
- Proceedings of the VLDB Endowment (2 papers)ACM SIGPLAN Notices (1 paper)BMC Bioinformatics (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
13 papers receiving 290 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 188
- Statistical and Nonlinear Physics 43
- Mathematical Physics 27
- Computational Theory and Mathematics 45
- 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 13 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 | 203 | |
| 2 | 2017 | 32 | |
| 3 | 2020 | 21 | |
| 4 | 2019 | 13 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 4 | |
| 7 | 2019 | 4 | |
| 8 | 2014 | 3 | |
| 9 | 2012 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2014 | 1 | |
| 12 | 2025 | 1 | |
| 13 | DeSignate: detecting signature characters in gene sequence alignments for taxon diagnoses. | 2021 | 1 |
| 14 | 2025 | 0 |
About Thomas Hütter
Thomas Hütter is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Signal Processing and Molecular Biology, having authored 14 papers that have together received 294 indexed citations. Recurring topics across this work include Data Quality and Management (3 papers), Advanced Database Systems and Queries (3 papers), Data Management and Algorithms (2 papers), Genomics and Phylogenetic Studies (2 papers), Parallel Computing and Optimization Techniques (2 papers), Security and Verification in Computing (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 (188 citations), Statistical and Nonlinear Physics (43 citations), Mathematical Physics (27 citations), Computational Theory and Mathematics (45 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, Chen Li, Christoph Kirsch, Martin Aigner and Michael J. Carey. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGPLAN Notices, BMC Bioinformatics, 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.