Fabio Narducci

1.2k citations
48 papers · 690 indexed · h-index 15
Topics
Biometric Identification and Security (15 papers)Face recognition and analysis (12 papers)User Authentication and Security Systems (8 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessPattern Recognition
Partner nations
ItalyChinaIndia

In The Last Decade

Fabio Narducci

46 papers receiving 669 citations

Peers

Fabio Narducci
Comparison fields: 5 of 94
  • Computer Vision and Pattern Recognition 432
  • Signal Processing 212
  • Information Systems 158
  • Experimental and Cognitive Psychology 99
  • Artificial Intelligence 79
Replace Andrea F. Abate with:
Andrea F. Abate Italy
Saiyed Umer India
Stefano Ricciardi Italy
Evaggelos Spyrou Greece
Cagri Ozcinar Ireland
Xavier Baró Spain
Raja Touahni Morocco
Gil Levi Israel
Shucheng Huang China
Fabio Narducci relative to Andrea F. Abate Italy Andrea F. Abate's profile →
Citations per field
00.5×1.5×2.3×
Andrea F. Abate · 1×
Citations per year

Countries citing papers authored by Fabio Narducci

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Fabio Narducci

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Narducci. A scholar is included among the top collaborators of Fabio Narducci 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 Fabio Narducci. Fabio Narducci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 0
4 1
5 2
6 11
7 4
8 99
9 1
10 14
11 3
12 1
13 5
14 28
15 2
16 9
17 30
18 4
19 2
20 31

About Fabio Narducci

Fabio Narducci is a scholar working on Space and Planetary Science, Computer Vision and Pattern Recognition and Signal Processing, having authored 48 papers that have together received 690 indexed citations. Recurring topics across this work include Biometric Identification and Security (15 papers), Face recognition and analysis (12 papers) and User Authentication and Security Systems (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (432 citations), Signal Processing (212 citations) and Human-Computer Interaction (64 citations). Fabio Narducci has collaborated with scholars based in Italy, China and India. Frequent co-authors include Silvio Barra, Michele Nappi, Aniello Castiglione, Carmen Bisogni, Modesto Castrillón-Santana, Maria De Marsico, Andrea F. Abate, Saiyed Umer, David Freire-Obregón and Hugo Proença. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Pattern Recognition.

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.

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