Fabio Narducci
Impact in
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- Face recognition and analysis
- Face and Expression Recognition
- Digital Media Forensic Detection
- Advanced Steganography and Watermarking Techniques
- Augmented Reality Applications
- Signal Processing top 5%
- Biometric Identification and Security
Papers in
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- Face recognition and analysis 17
- Face and Expression Recognition 12
- Digital Media Forensic Detection 7
- Advanced Steganography and Watermarking Techniques 6
- Context-Aware Activity Recognition Systems 5
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- Biometric Identification and Security 23
- Co-authors
- Silvio Barra (19 shared papers)Michele Nappi (25 shared papers)Aniello Castiglione (8 shared papers)Andrea F. Abate (17 shared papers)Carmen Bisogni (7 shared papers)Stefano Ricciardi (7 shared papers)Maria De Marsico (6 shared papers)Modesto Castrillón-Santana (2 shared papers)
In The Last Decade
Fabio Narducci
61 papers receiving 870 citations
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 578
- Signal Processing 283
- Human-Computer Interaction 79
- Space and Planetary Science 17
- Information Systems 206
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 | 109 | |
| 2 | 2018 | 87 | |
| 3 | 2014 | 61 | |
| 4 | 2016 | 45 | |
| 5 | 2014 | 41 | |
| 6 | 2020 | 34 | |
| 7 | 2017 | 33 | |
| 8 | 2018 | 30 | |
| 9 | 2017 | 30 | |
| 10 | 2021 | 25 | |
| 11 | 2022 | 23 | |
| 12 | 2019 | 21 | |
| 13 | 2021 | 21 | |
| 14 | 2023 | 17 | |
| 15 | 2019 | 17 | |
| 16 | 2019 | 16 | |
| 17 | 2022 | 14 | |
| 18 | 2018 | 14 | |
| 19 | 2020 | 14 | |
| 20 | 2017 | 13 |
About Fabio Narducci
Fabio Narducci is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Information Systems, Artificial Intelligence and Human-Computer Interaction, having authored 64 papers that have together received 890 indexed citations. Recurring topics across this work include Biometric Identification and Security (23 papers), Face recognition and analysis (17 papers), Face and Expression Recognition (12 papers), User Authentication and Security Systems (12 papers), Digital Media Forensic Detection (7 papers), Advanced Steganography and Watermarking Techniques (6 papers), Archaeological Research and Protection (5 papers) and Context-Aware Activity Recognition Systems (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (578 citations), Signal Processing (283 citations), Human-Computer Interaction (79 citations), Space and Planetary Science (17 citations) and Information Systems (206 citations). Fabio Narducci has collaborated with scholars based in Italy, China and Portugal. Frequent co-authors include Silvio Barra, Michele Nappi, Aniello Castiglione, Andrea F. Abate, Carmen Bisogni, Stefano Ricciardi, Maria De Marsico, Modesto Castrillón-Santana, Hugo Proença and David Freire-Obregón. Their work appears in journals such as Pattern Recognition Letters, IEEE Transactions on Industrial Informatics, Image and Vision Computing, 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.