Pascal Schöttle
Impact in
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- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
- Chaos-based Image/Signal Encryption
- Generative Adversarial Networks and Image Synthesis
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- Adversarial Robustness in Machine Learning
- Internet Traffic Analysis and Secure E-voting
- Privacy-Preserving Technologies in Data
Papers in
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- Advanced Steganography and Watermarking Techniques 12
- Digital Media Forensic Detection 9
- Chaos-based Image/Signal Encryption 6
- Generative Adversarial Networks and Image Synthesis 2
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- Adversarial Robustness in Machine Learning 9
- Internet Traffic Analysis and Secure E-voting 7
- Anomaly Detection Techniques and Applications 3
- Co-authors
- Rainer Böhme (16 shared papers)Matthias Zeppelzauer (1 shared paper)Benjamin Johnson (5 shared papers)Cecilia Pasquini (3 shared papers)Christian Ploder (3 shared papers)Fernando Pérez‐González (1 shared paper)Jens Großklags (4 shared papers)Áron Lászka (4 shared papers)
- Journals
- IEEE Transactions on Information Forensics and Security (2 papers)Lecture notes in computer science (10 papers)Machine Learning (1 paper)IEEE Access (1 paper)ACM Transactions on Internet Technology (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Pascal Schöttle
33 papers receiving 271 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 153
- Artificial Intelligence 113
- Information Systems 55
- Health Informatics 3
- Signal Processing 20
Countries citing papers authored by Pascal Schöttle
This map shows the geographic impact of Pascal Schöttle'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 Pascal Schöttle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Schöttle more than expected).
Fields of papers citing papers by Pascal Schöttle
This network shows the impact of papers produced by Pascal Schöttle. 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 Pascal Schöttle. The network helps show where Pascal Schöttle may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Schöttle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 68 | |
| 2 | 2015 | 25 | |
| 3 | 2013 | 22 | |
| 4 | 2012 | 17 | |
| 5 | 2018 | 15 | |
| 6 | 2016 | 13 | |
| 7 | 2012 | 13 | |
| 8 | 2017 | 12 | |
| 9 | 2015 | 10 | |
| 10 | 2022 | 10 | |
| 11 | 2015 | 7 | |
| 12 | 2013 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2008 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2014 | 5 | |
| 17 | 2016 | 4 | |
| 18 | 2014 | 4 | |
| 19 | 2014 | 4 | |
| 20 | 2021 | 3 |
About Pascal Schöttle
Pascal Schöttle is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Signal Processing and Biophysics, having authored 35 papers that have together received 279 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (12 papers), Adversarial Robustness in Machine Learning (9 papers), Digital Media Forensic Detection (9 papers), Internet Traffic Analysis and Secure E-voting (7 papers), Chaos-based Image/Signal Encryption (6 papers), Anomaly Detection Techniques and Applications (3 papers), Blockchain Technology Applications and Security (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (153 citations), Artificial Intelligence (113 citations), Information Systems (55 citations), Health Informatics (3 citations) and Signal Processing (20 citations). Pascal Schöttle has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Rainer Böhme, Matthias Zeppelzauer, Benjamin Johnson, Cecilia Pasquini, Christian Ploder, Fernando Pérez‐González, Jens Großklags, Áron Lászka, Giulia Boato and Thomas Dreibholz. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, Lecture notes in computer science, Machine Learning, IEEE Access and ACM Transactions on Internet Technology.
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.