Chiara Galdi

749 citations
34 papers · 553 · h-index 11

Impact in

Papers in

Chiara Galdi

29 papers receiving 532 citations

Peers

Chiara Galdi
Comparison fields: 5 of 62
  • Signal Processing 310
  • Human-Computer Interaction 156
  • Computer Vision and Pattern Recognition 303
  • Information Systems 204
  • Ophthalmology 41
Replace Petronel Bigioi with:
Petronel Bigioi Ireland
Hyeon Chang Lee South Korea
Alina Hang Germany
Corey D. Holland United States
Xianchao Qiu China
Shejin Thavalengal Ireland
Raghavender Jillela United States
Adam Czajka United States
Kenrick Mock United States
Tong-Yuen Chai Malaysia
Chiara Galdi relative to Petronel Bigioi Ireland Petronel Bigioi's profile →
Citations per field
00.5×2×3.4×
Petronel Bigioi · 1×
Citations per year

Countries citing papers authored by Chiara Galdi

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Galdi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chiara Galdi, 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 Chiara Galdi Line = papers co-authored together Chiara Galdi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014120
2 201486
3 201554
4 201647
5 201929
6 201429
7 201325
8 201723
9 201818
10 201316
11 201410
12 20199
13 20209
14 20159
15 20168
16 20157
17 20176
18 20176
19 20186
20 20145

About Chiara Galdi

Chiara Galdi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Information Systems, Human-Computer Interaction and Ophthalmology, having authored 34 papers that have together received 553 indexed citations. Recurring topics across this work include Biometric Identification and Security (14 papers), Face recognition and analysis (12 papers), Digital Media Forensic Detection (9 papers), User Authentication and Security Systems (9 papers), Advanced Steganography and Watermarking Techniques (8 papers), Gaze Tracking and Assistive Technology (6 papers), Hand Gesture Recognition Systems (4 papers) and Face and Expression Recognition (4 papers). The work is most often cited by research in Signal Processing (310 citations), Human-Computer Interaction (156 citations), Computer Vision and Pattern Recognition (303 citations), Information Systems (204 citations) and Ophthalmology (41 citations). Chiara Galdi has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Michele Nappi, Daniel Riccio, Jean‐Luc Dugelay, Maria De Marsico, Virginio Cantoni, Marco Porta, Harry Wechsler, Frank Hartung, Maria Frucci and Andrea F. Abate. Their work appears in journals such as Pattern Recognition Letters, Image and Vision Computing, Sensors, Pattern Recognition and IEEE Transactions on Biometrics Behavior and Identity Science.

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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