Philipp Benz
Impact in
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- Digital Media Forensic Detection
- Advanced Steganography and Watermarking Techniques
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Artificial Intelligence top 5%
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
Papers in
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- Adversarial Robustness in Machine Learning 8
- Anomaly Detection Techniques and Applications 4
- Internet Traffic Analysis and Secure E-voting 2
- Domain Adaptation and Few-Shot Learning 2
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- Advanced Neural Network Applications 3
- Digital Media Forensic Detection 3
- Advanced Steganography and Watermarking Techniques 2
- Co-authors
- Chaoning Zhang (10 shared papers)In So Kweon (10 shared papers)François Rameau (2 shared papers)Junsik Kim (2 shared papers)Seokju Lee (2 shared papers)Jean‐Charles Bazin (2 shared papers)Geng Sun (1 shared paper)In-So Kweon (1 shared paper)
- Journals
- British Machine Vision Conference (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2 papers)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)Neural Information Processing Systems (1 paper)
- Partner nations
- South KoreaUnited StatesNetherlands
In The Last Decade
Philipp Benz
12 papers receiving 437 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 252
- Artificial Intelligence 241
- Signal Processing 44
- Media Technology 23
- Hardware and Architecture 12
Countries citing papers authored by Philipp Benz
This map shows the geographic impact of Philipp Benz'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 Philipp Benz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Benz more than expected).
Fields of papers citing papers by Philipp Benz
This network shows the impact of papers produced by Philipp Benz. 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 Philipp Benz. The network helps show where Philipp Benz may publish in the future.
Co-authors
The 12 scholars most cited alongside Philipp Benz, 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 | 2021 | 99 | |
| 2 | 2020 | 68 | |
| 3 | UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging. | 2020 | 67 |
| 4 | 2021 | 40 | |
| 5 | 2021 | 39 | |
| 6 | 2020 | 29 | |
| 7 | 2021 | 25 | |
| 8 | 2022 | 23 | |
| 9 | 2018 | 20 | |
| 10 | 2021 | 15 | |
| 11 | Revisiting Residual Networks with Nonlinear Shortcuts. | 2019 | 13 |
| 12 | 2020 | 9 |
About Philipp Benz
Philipp Benz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Molecular Biology and Electrical and Electronic Engineering, having authored 12 papers that have together received 447 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (8 papers), Anomaly Detection Techniques and Applications (4 papers), Bacillus and Francisella bacterial research (3 papers), Advanced Neural Network Applications (3 papers), Digital Media Forensic Detection (3 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Advanced Steganography and Watermarking Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (252 citations), Artificial Intelligence (241 citations), Signal Processing (44 citations), Media Technology (23 citations) and Hardware and Architecture (12 citations). Philipp Benz has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Chaoning Zhang, In So Kweon, François Rameau, Junsik Kim, Seokju Lee, Jean‐Charles Bazin, Geng Sun, In-So Kweon, Ho‐Jin Choi and Seung Ho Han. Their work appears in journals such as British Machine Vision Conference, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Proceedings of the AAAI Conference on Artificial Intelligence and Neural Information Processing Systems.
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.