Luca Demetrio

540 citations
20 papers · 192 indexed · h-index 7
Topics
Adversarial Robustness in Machine Learning (16 papers)Advanced Malware Detection Techniques (9 papers)Anomaly Detection Techniques and Applications (8 papers)
Partner nations
ItalyIsraelFrance

In The Last Decade

Luca Demetrio

15 papers receiving 184 citations

Peers

Luca Demetrio
Comparison fields: 5 of 41
  • Artificial Intelligence 137
  • Signal Processing 108
  • Computer Networks and Communications 64
  • Information Systems 32
  • Computer Vision and Pattern Recognition 16
Replace Yufeng Li with:
Yufeng Li China
Houda Jmila France
Sajad Homayoun Iran
Bao Gia Doan Australia
Roberto Tronci Italy
Mohamed Sobh Egypt
Yong Ho Hwang South Korea
Abigail Koay Australia
Anand Handa India
Luca Demetrio relative to Yufeng Li China Yufeng Li's profile →
Citations per field
00.5×1.5×
Yufeng Li · 1×
Citations per year

Countries citing papers authored by Luca Demetrio

Since Specialization
Citations

This map shows the geographic impact of Luca Demetrio'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 Luca Demetrio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Demetrio more than expected).

Fields of papers citing papers by Luca Demetrio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luca Demetrio. 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 Luca Demetrio. The network helps show where Luca Demetrio may publish in the future.

Co-authorship network of co-authors of Luca Demetrio

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Demetrio. A scholar is included among the top collaborators of Luca Demetrio 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 Luca Demetrio. Luca Demetrio 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 2
2 0
3 0
4 5
5 12
6 0
7 1
8 15
9 0
10 8
11 28
12 2
13 6
14 19
15 2
16 9
17 0
18 71
19 6
20 6

About Luca Demetrio

Luca Demetrio is a scholar working on Signal Processing, Artificial Intelligence and Software, having authored 20 papers that have together received 192 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (16 papers), Advanced Malware Detection Techniques (9 papers) and Anomaly Detection Techniques and Applications (8 papers). The work is most often cited by research in Signal Processing (108 citations), Artificial Intelligence (137 citations) and Computer Networks and Communications (64 citations). Luca Demetrio has collaborated with scholars based in Italy, Israel and France. Frequent co-authors include Battista Biggio, Fabio Roli, Giovanni Lagorio, Scott E. Coull, Alessandro Armando, Maura Pintor, Ambra Demontis, Asaf Shabtai, Federico Errica and Franco Scarselli. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Information Sciences.

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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