Matteo Ferrara
- Signal Processing top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Information Systems top 1%
- Safety Research top 2%
- Genetics
- Co-authors
- Davide MaltoniRaffaele CappelliAnnalisa FrancoDario MaioLuca CalderoniGuido BorghiMássimo TistarelliAlessandra Lumini
- Topics
- Biometric Identification and Security (27 papers)Face recognition and analysis (11 papers)User Authentication and Security Systems (8 papers)
In The Last Decade
Matteo Ferrara
36 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Signal Processing 1.3k
- Computer Vision and Pattern Recognition 1.1k
- Information Systems 520
- Safety Research 271
- Genetics 135
Countries citing papers authored by Matteo Ferrara
This map shows the geographic impact of Matteo Ferrara'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 Matteo Ferrara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Ferrara more than expected).
Fields of papers citing papers by Matteo Ferrara
This network shows the impact of papers produced by Matteo Ferrara. 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 Matteo Ferrara. The network helps show where Matteo Ferrara may publish in the future.
Co-authorship network of co-authors of Matteo Ferrara
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Ferrara. A scholar is included among the top collaborators of Matteo Ferrara 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 Matteo Ferrara. Matteo Ferrara 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 23 | |
| 8 | Decoupling texture blending and shape warping in face morphing | 11 |
| 9 | 6 | |
| 10 | 26 | |
| 11 | 168 | |
| 12 | A two-factor protection scheme for MCC fingerprint templates | 45 |
| 13 | 7 | |
| 14 | 26 | |
| 15 | 10 | |
| 16 | 30 | |
| 17 | Learning for combining fingerprint matchers: a case study FVC-OnGoing | 1 |
| 18 | Minutia Cylinder-Code: A New Representation and Matching Technique for Fingerprint Recognitionbreakdown → | 449 |
| 19 | 1 | |
| 20 | 3 |
About Matteo Ferrara
Matteo Ferrara is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Safety Research, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Biometric Identification and Security (27 papers), Face recognition and analysis (11 papers) and User Authentication and Security Systems (8 papers). The work is most often cited by research in Signal Processing (1.3k citations), Computer Vision and Pattern Recognition (1.1k citations) and Safety Research (271 citations). Matteo Ferrara has collaborated with scholars based in Italy, Germany and China. Frequent co-authors include Davide Maltoni, Raffaele Cappelli, Annalisa Franco, Dario Maio, Luca Calderoni, Guido Borghi, Mássimo Tistarelli, Alessandra Lumini, Loris Nanni and Christoph Busch. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and IEEE Access.
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.