Davide Cavagnino

546 citations
36 papers · 249 indexed · h-index 11

Davide Cavagnino

31 papers receiving 240 citations

Peers

Davide Cavagnino
Comparison fields: 5 of 37
  • Computer Vision and Pattern Recognition 178
  • Computer Graphics and Computer-Aided Design 7
  • Computer Networks and Communications 45
  • Media Technology 17
  • Signal Processing 20
Replace Thijs Laarhoven with:
Thijs Laarhoven Netherlands
Ling Du China
Xiangli Xiao China
Dalel Bouslimi France
Huaijun Qiu China
A.L. McKellips United States
Tse-Shih Chen Taiwan
Cheng-Hsing Yang Taiwan
Hidenori Kuwakado Japan
S. Ravi Kumar United States
Davide Cavagnino relative to Thijs Laarhoven Netherlands Thijs Laarhoven's profile →
Citations per field
00.5×1.5×2.1×
Thijs Laarhoven · 1×
Citations per year

Countries citing papers authored by Davide Cavagnino

Since Specialization
Citations

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

Fields of papers citing papers by Davide Cavagnino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20231
4 20230
5 20221
6 202129
7 20213
8 20213
9 201511
10 20151
11 201525
12 201413
13 201418
14 201413
15 20131
16 20078
17 200225
18 20002
19 19991
20
Data Compression for the ALICE Silicon Drift Detector.
19981

About Davide Cavagnino

Davide Cavagnino is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 36 papers that have together received 249 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (18 papers), Chaos-based Image/Signal Encryption (14 papers), Digital Media Forensic Detection (10 papers), Particle Detector Development and Performance (4 papers), DNA and Biological Computing (4 papers), Computer Graphics and Visualization Techniques (4 papers), Algorithms and Data Compression (4 papers) and Advanced Data Storage Technologies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (178 citations), Computer Graphics and Computer-Aided Design (7 citations) and Computer Networks and Communications (45 citations). Davide Cavagnino has collaborated with scholars based in Italy, Singapore and United States. Frequent co-authors include Marco Botta, Victor Pomponiu, Francesco Bergadano, Bruno Crispo, Roberto Esposito, A. Werbrouck, Marco Grangetto, Maurizio Lucenteforte, Pietro Piazzolla and Marco Gribaudo. Their work appears in journals such as Information Sciences, Nuclear Physics A and Signal Processing.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026