Iacopo Masi
- Computer Vision and Pattern Recognition top 0.5%
- Signal Processing top 1%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Computational Mechanics top 5%
- Co-authors
- Tal HassnerGérard MedioniPrem NatarajanAlberto Del BimboYue WuAnh TranGiuseppe LisantiAndrew D. Bagdanov
- Topics
- Face recognition and analysis (21 papers)Face and Expression Recognition (14 papers)Biometric Identification and Security (11 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE AccessInternational Journal of Computer Vision
- Partner nations
- ItalyUnited StatesIsrael
In The Last Decade
Iacopo Masi
33 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Computer Vision and Pattern Recognition 2.0k
- Signal Processing 517
- Artificial Intelligence 237
- Biomedical Engineering 234
- Computational Mechanics 230
Countries citing papers authored by Iacopo Masi
This map shows the geographic impact of Iacopo Masi'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 Iacopo Masi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iacopo Masi more than expected).
Fields of papers citing papers by Iacopo Masi
This network shows the impact of papers produced by Iacopo Masi. 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 Iacopo Masi. The network helps show where Iacopo Masi may publish in the future.
Co-authorship network of co-authors of Iacopo Masi
This figure shows the co-authorship network connecting the top 25 collaborators of Iacopo Masi. A scholar is included among the top collaborators of Iacopo Masi 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 Iacopo Masi. Iacopo Masi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 78 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | Recurrent-Convolution Approach to DeepFake Detection - State-Of-Art Results on FaceForensics++ | 4 |
| 6 | Recurrent Convolutional Strategies for Face Manipulation Detection in Videos. | 50 |
| 7 | 29 | |
| 8 | 66 | |
| 9 | 107 | |
| 10 | 184 | |
| 11 | Deep Face Recognition: A Surveybreakdown → | 388 |
| 12 | 25 | |
| 13 | 85 | |
| 14 | 35 | |
| 15 | 40 | |
| 16 | 14 | |
| 17 | 6 | |
| 18 | 4 | |
| 19 | 93 | |
| 20 | 8 |
About Iacopo Masi
Iacopo Masi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Biophysics, having authored 33 papers that have together received 2.2k indexed citations. Recurring topics across this work include Face recognition and analysis (21 papers), Face and Expression Recognition (14 papers) and Biometric Identification and Security (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.0k citations), Signal Processing (517 citations) and Dermatology (101 citations). Iacopo Masi has collaborated with scholars based in Italy, United States and Israel. Frequent co-authors include Tal Hassner, Gérard Medioni, Prem Natarajan, Alberto Del Bimbo, Yue Wu, Anh Tran, Giuseppe Lisanti, Andrew D. Bagdanov, Yuval Nirkin and Stephen Rawls. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and International Journal of Computer Vision.
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.