Giulia Orrù

530 citations
28 papers · 177 · h-index 8

Impact in

Papers in

Giulia Orrù

22 papers receiving 173 citations

Peers

Giulia Orrù
Comparison fields: 5 of 43
  • Signal Processing 71
  • Computer Vision and Pattern Recognition 98
  • Safety Research 32
  • Health Informatics 2
  • Artificial Intelligence 38
Replace Sobhan Soleymani with:
Sobhan Soleymani United States
Andrey Makrushin Germany
Johannes Merkle Germany
Daniel Michelsanti Denmark
Yaohai Huang China
Pawel Drozdowski Germany
Tarang Chugh United States
Pankaj Wasnik India
Brian Dolhansky United States
Abhishek Gangwar India
Giulia Orrù relative to Sobhan Soleymani United States Sobhan Soleymani's profile →
Citations per field
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Sobhan Soleymani · 1×
Citations per year

Countries citing papers authored by Giulia Orrù

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Orrù

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Giulia Orrù, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Giulia Orrù Line = papers co-authored together Giulia Orrù links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201839
2 202236
3 201919
4 202415
5 202210
6 20239
7 20238
8 20217
9 20216
10 20226
11 20214
12 20243
13 20233
14 20223
15 20242
16 20251
17 20221
18 20241
19 20241
20 20161

About Giulia Orrù

Giulia Orrù is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Information Systems and Safety Research, having authored 28 papers that have together received 177 indexed citations. Recurring topics across this work include Biometric Identification and Security (13 papers), Face recognition and analysis (8 papers), Digital Media Forensic Detection (5 papers), Forensic Fingerprint Detection Methods (5 papers), Anomaly Detection Techniques and Applications (4 papers), User Authentication and Security Systems (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Forensic Anthropology and Bioarchaeology Studies (2 papers). The work is most often cited by research in Signal Processing (71 citations), Computer Vision and Pattern Recognition (98 citations), Safety Research (32 citations), Health Informatics (2 citations) and Artificial Intelligence (38 citations). Giulia Orrù has collaborated with scholars based in Italy, China and Switzerland. Frequent co-authors include Gian Luca Marcialis, Fabio Roli, Roberto Casula, Luca Ghiani, Xiaoyi Feng, Marco Fontani, Nicola Messina, Sebastiano Battiato, Fabrizio Falchi and Martin Drahanský. Their work appears in journals such as Applied Sciences, Pattern Recognition Letters, Engineering Applications of Artificial Intelligence, Machine Vision and Applications and IEEE Transactions on Information Forensics and Security.

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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