V. Cappellini

3.1k citations
105 papers · 2.0k · h-index 20

Impact in

Papers in

V. Cappellini

93 papers receiving 1.8k citations

Peers

V. Cappellini
Comparison fields: 5 of 100
  • Computer Vision and Pattern Recognition 1.6k
  • Computer Graphics and Computer-Aided Design 107
  • Signal Processing 322
  • Media Technology 179
  • Geology 53
Replace David B. Cooper with:
David B. Cooper United States
Leo Dorst Netherlands
Athinodoros S. Georghiades United States
Kuo‐Liang Chung Taiwan
A. Ben Hamza Canada
Eric J. Stollnitz United States
Ingrid Daubechies United States
Miguel R. D. Rodrigues United Kingdom
Oscar Firschein United States
Silvano Di Zenzo Italy
V. Cappellini relative to David B. Cooper United States David B. Cooper's profile →
Citations per field
00.5×4.3×
David B. Cooper · 1×
Citations per year

Countries citing papers authored by V. Cappellini

Since Specialization
Citations

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

Fields of papers citing papers by V. Cappellini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998486
2 2002214
3 1996193
4
Digital filters and their applications
1978103
5 200275
6 200064
7 199963
8 200252
9 200043
10 199441
11 200739
12 199730
13 199827
14 200325
15 197922
16 199422
17 200222
18 199821
19 199819
20 200119

About V. Cappellini

V. Cappellini is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Geology, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 105 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (28 papers), Advanced Data Compression Techniques (15 papers), Chaos-based Image/Signal Encryption (15 papers), Digital Media Forensic Detection (15 papers), 3D Surveying and Cultural Heritage (14 papers), Advanced Vision and Imaging (12 papers), Image and Signal Denoising Methods (12 papers) and Computer Graphics and Visualization Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Computer Graphics and Computer-Aided Design (107 citations), Signal Processing (322 citations), Media Technology (179 citations) and Geology (53 citations). V. Cappellini has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Mauro Barni, F. Bartolini, Alessandro Piva, A. Mecocci, A.G. Constantinides, P. L. Emiliani, Roberto Caldelli, Luciano Alparone, Alessia De Rosa and A. Mecocci. Their work appears in journals such as Signal Processing, Electronics Letters, Image and Vision Computing, International Journal of Remote Sensing and European Transactions on Telecommunications.

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