David Güera
Impact in
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- Digital Media Forensic Detection
- Generative Adversarial Networks and Image Synthesis
- Advanced Steganography and Watermarking Techniques
- Face recognition and analysis
- Advanced Image Processing Techniques
- Media Technology top 5%
- Image Processing Techniques and Applications
Papers in
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- Digital Media Forensic Detection 12
- Generative Adversarial Networks and Image Synthesis 8
- Advanced Steganography and Watermarking Techniques 6
- Advanced Image and Video Retrieval Techniques 2
- Advanced Neural Network Applications 2
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- Anomaly Detection Techniques and Applications 4
- Co-authors
- Edward J. Delp (15 shared papers)Paolo Bestagini (10 shared papers)Stefano Tubaro (10 shared papers)Luca Bondi (5 shared papers)Luca Baroffio (2 shared papers)Silvia Lameri (1 shared paper)Fengqing Zhu (8 shared papers)Zhile Ren (1 shared paper)
- Journals
- Advances in computer vision and pattern recognition (1 paper)IEEE Signal Processing Letters (1 paper)Lecture notes in computer science (1 paper)ACM Transactions on Computing for Healthcare (1 paper)Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (6 papers)
- Partner nations
- United StatesItalyAustralia
In The Last Decade
David Güera
18 papers receiving 1.3k citations
David Güera's Hit Papers
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 1.2k
- Media Technology 121
- Artificial Intelligence 390
- Law 108
- Biophysics 52
Countries citing papers authored by David Güera
This map shows the geographic impact of David Güera'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 David Güera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Güera more than expected).
Fields of papers citing papers by David Güera
This network shows the impact of papers produced by David Güera. 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 David Güera. The network helps show where David Güera may publish in the future.
Co-authors
The 22 scholars most cited alongside David Güera, 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 | Deepfake Video Detection Using Recurrent Neural Networks Hit paper breakdown → | 2018 | 819 |
| 2 | 2016 | 183 | |
| 3 | 2017 | 152 | |
| 4 | 2018 | 50 | |
| 5 | 2022 | 44 | |
| 6 | 2017 | 27 | |
| 7 | 2019 | 25 | |
| 8 | 2018 | 20 | |
| 9 | Anomaly-Based Manipulation Detection in Satellite Images. | 2019 | 18 |
| 10 | 2022 | 13 | |
| 11 | 2017 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2018 | 11 | |
| 14 | Weighted Hausdorff Distance: A Loss Function For Object Localization. | 2018 | 11 |
| 15 | 2020 | 10 | |
| 16 | 2019 | 7 | |
| 17 | 2019 | 5 | |
| 18 | 2020 | 1 |
About David Güera
David Güera is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Law, Molecular Biology and Signal Processing, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Digital Media Forensic Detection (12 papers), Generative Adversarial Networks and Image Synthesis (8 papers), Advanced Steganography and Watermarking Techniques (6 papers), Law in Society and Culture (4 papers), Anomaly Detection Techniques and Applications (4 papers), Advanced Image and Video Retrieval Techniques (2 papers), Advanced Neural Network Applications (2 papers) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Media Technology (121 citations), Artificial Intelligence (390 citations), Law (108 citations) and Biophysics (52 citations). David Güera has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Edward J. Delp, Paolo Bestagini, Stefano Tubaro, Luca Bondi, Luca Baroffio, Silvia Lameri, Fengqing Zhu, Zhile Ren, Alex Colburn and Alexander G. Schwing. Their work appears in journals such as Advances in computer vision and pattern recognition, IEEE Signal Processing Letters, Lecture notes in computer science, ACM Transactions on Computing for Healthcare and Virtual Community of Pathological Anatomy (University of Castilla La Mancha).
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.