Fabio Narducci
Impact in
- Signal Processing top 2%
- Biometric Identification and Security
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- Face recognition and analysis
- Digital Media Forensic Detection
- Augmented Reality Applications
- Advanced Neural Network Applications
- Face and Expression Recognition
Papers in
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- Biometric Identification and Security 20
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- Face recognition and analysis 15
- Image Processing and 3D Reconstruction 5
- Augmented Reality Applications 4
- Video Surveillance and Tracking Methods 3
- Digital Media Forensic Detection 2
- Co-authors
- Silvio Barra (18 shared papers)Michele Nappi (25 shared papers)Aniello Castiglione (7 shared papers)Carmen Bisogni (7 shared papers)Andrea Francesco Abate (17 shared papers)Stefano Ricciardi (7 shared papers)Modesto Castrillón-Santana (2 shared papers)Maria De Marsico (6 shared papers)
In The Last Decade
Fabio Narducci
61 papers receiving 942 citations
Peers
Comparison fields: 5 of 78
- Signal Processing 239
- Computer Vision and Pattern Recognition 368
- Experimental and Cognitive Psychology 129
- Information Systems 109
- Human-Computer Interaction 31
Countries citing papers authored by Fabio Narducci
This map shows the geographic impact of Fabio Narducci'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 Fabio Narducci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Narducci more than expected).
Fields of papers citing papers by Fabio Narducci
This network shows the impact of papers produced by Fabio Narducci. 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 Fabio Narducci. The network helps show where Fabio Narducci may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabio Narducci, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 118 | |
| 2 | 2018 | 93 | |
| 3 | 2014 | 63 | |
| 4 | 2016 | 45 | |
| 5 | 2014 | 42 | |
| 6 | 2017 | 38 | |
| 7 | 2018 | 34 | |
| 8 | 2020 | 34 | |
| 9 | 2017 | 30 | |
| 10 | 2021 | 27 | |
| 11 | 2022 | 25 | |
| 12 | 2013 | 22 | |
| 13 | 2021 | 22 | |
| 14 | 2019 | 21 | |
| 15 | 2019 | 18 | |
| 16 | 2022 | 18 | |
| 17 | 2023 | 18 | |
| 18 | 2022 | 17 | |
| 19 | 2019 | 16 | |
| 20 | 2015 | 15 |
About Fabio Narducci
Fabio Narducci is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Information Systems, Human-Computer Interaction and Experimental and Cognitive Psychology, having authored 64 papers that have together received 968 indexed citations. Recurring topics across this work include Biometric Identification and Security (20 papers), Face recognition and analysis (15 papers), Image Processing and 3D Reconstruction (5 papers), Augmented Reality Applications (4 papers), Video Surveillance and Tracking Methods (3 papers), Emotion and Mood Recognition (3 papers), User Authentication and Security Systems (2 papers) and Digital Media Forensic Detection (2 papers). The work is most often cited by research in Signal Processing (239 citations), Computer Vision and Pattern Recognition (368 citations), Experimental and Cognitive Psychology (129 citations), Information Systems (109 citations) and Human-Computer Interaction (31 citations). Fabio Narducci has collaborated with scholars based in Italy, Portugal and China. Frequent co-authors include Silvio Barra, Michele Nappi, Aniello Castiglione, Carmen Bisogni, Andrea Francesco Abate, Stefano Ricciardi, Modesto Castrillón-Santana, Maria De Marsico, Hugo Proença and Saiyed Umer. Their work appears in journals such as Pattern Recognition Letters, Image and Vision Computing, IEEE Transactions on Industrial Informatics, Multimedia Tools and Applications and IEEE Cloud Computing.
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.