Roberto Caldelli
- Computer Vision and Pattern Recognition top 0.5%
- Media Technology top 0.5%
- Biophysics top 0.5%
- Artificial Intelligence top 5%
- Law top 0.2%
- Co-authors
- Irene AmeriniAlberto Del BimboLamberto BallanGiuseppe SerraRudy BecarelliLeonardo GalteriMauro BarniAlessandro Piva
- Topics
- Digital Media Forensic Detection (51 papers)Advanced Steganography and Watermarking Techniques (50 papers)Generative Adversarial Networks and Image Synthesis (16 papers)
In The Last Decade
Roberto Caldelli
82 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 2.4k
- Media Technology 721
- Biophysics 377
- Artificial Intelligence 336
- Law 289
Countries citing papers authored by Roberto Caldelli
This map shows the geographic impact of Roberto Caldelli'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 Roberto Caldelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Caldelli more than expected).
Fields of papers citing papers by Roberto Caldelli
This network shows the impact of papers produced by Roberto Caldelli. 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 Roberto Caldelli. The network helps show where Roberto Caldelli may publish in the future.
Co-authorship network of co-authors of Roberto Caldelli
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Caldelli. A scholar is included among the top collaborators of Roberto Caldelli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Roberto Caldelli. Roberto Caldelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 15 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 34 | |
| 9 | 17 | |
| 10 | Detecting Adversarial Inputs by Looking in the Black Box. | 1 |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 18 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 38 | |
| 17 | 13 | |
| 18 | 3D Watermarking Technology: Visual Quality Aspects | 4 |
| 19 | Metadata hiding tightly binding information to content | 1 |
| 20 | 1 |
About Roberto Caldelli
Roberto Caldelli is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 86 papers that have together received 2.6k indexed citations. Recurring topics across this work include Digital Media Forensic Detection (51 papers), Advanced Steganography and Watermarking Techniques (50 papers) and Generative Adversarial Networks and Image Synthesis (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Media Technology (721 citations) and Biophysics (377 citations). Roberto Caldelli has collaborated with scholars based in Italy, Australia and Greece. Frequent co-authors include Irene Amerini, Alberto Del Bimbo, Lamberto Ballan, Giuseppe Serra, Rudy Becarelli, Leonardo Galteri, Mauro Barni, Alessandro Piva, Andrea Del Mastio and A. Costanzo. Their work appears in journals such as IEEE Access, Sensors and Pattern Recognition Letters.
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.