Davide Cozzolino
- Media Technology top 0.1%
- Image Processing Techniques and Applications 9
- Advanced Image Fusion Techniques 5
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- Digital Media Forensic Detection 25
- Advanced Steganography and Watermarking Techniques 11
- Generative Adversarial Networks and Image Synthesis 9
- Image and Signal Denoising Methods 6
- Biophysics top 1%
- Law top 0.5%
- Law in Society and Culture 5
- Artificial Intelligence top 5%
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- Synthetic Aperture Radar (SAR) Applications and Techniques 4
- Co-authors
- Luisa VerdolivaGiovanni PoggiGiuseppe ScarpaGiuseppe MasiDiego GragnanielloFrancesco MarraRiccardo CorviSara Parrilli
- Journals
- Remote Sensing (3 papers)IEEE Transactions on Geoscience and Remote Sensing (2 papers)IEEE Transactions on Information Forensics and Security (2 papers)
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
Davide Cozzolino
41 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Media Technology 1.5k
- Computer Vision and Pattern Recognition 2.9k
- Biophysics 285
- Law 237
- Artificial Intelligence 433
Countries citing papers authored by Davide Cozzolino
This map shows the geographic impact of Davide Cozzolino'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 Davide Cozzolino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Cozzolino more than expected).
Fields of papers citing papers by Davide Cozzolino
This network shows the impact of papers produced by Davide Cozzolino. 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 Davide Cozzolino. The network helps show where Davide Cozzolino may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Davide Cozzolino, 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 | 2025 | 0 | |
| 2 | 2024 | 19 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 5 | |
| 7 | 2022 | 19 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 14 | |
| 10 | 2020 | 66 | |
| 11 | 2019 | 17 | |
| 12 | 2018 | 225 | |
| 13 | 2018 | 1 | |
| 14 | 2018 | 73 | |
| 15 | 2018 | 10 | |
| 16 | 2015 | 157 | |
| 17 | Efficient Dense-Field Copy–Move Forgery Detectionbreakdown → | 2015 | 313 |
| 18 | 2014 | 67 | |
| 19 | 2013 | 146 | |
| 20 | 2013 | 1 |
About Davide Cozzolino
Davide Cozzolino is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biophysics, having authored 43 papers that have together received 3.4k indexed citations. Recurring topics across this work include Digital Media Forensic Detection (25 papers), Advanced Steganography and Watermarking Techniques (11 papers), Generative Adversarial Networks and Image Synthesis (9 papers), Image Processing Techniques and Applications (9 papers), Image and Signal Denoising Methods (6 papers), Advanced Image Fusion Techniques (5 papers), Law in Society and Culture (5 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (4 papers). The work is most often cited by research in Media Technology (1.5k citations), Computer Vision and Pattern Recognition (2.9k citations) and Biophysics (285 citations). Davide Cozzolino has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Luisa Verdoliva, Giovanni Poggi, Giuseppe Scarpa, Giuseppe Masi, Diego Gragnaniello, Francesco Marra, Riccardo Corvi, Sara Parrilli, Koki Nagano and Francescopaolo Sica. Their work appears in journals such as Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Information Forensics and Security, Scientific Reports and Journal of Hydrology.
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.