V. Cappellini

3.1k total citations
105 papers, 2.0k citations indexed

About

V. Cappellini is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Geology. According to data from OpenAlex, V. Cappellini has authored 105 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 14 papers in Geology. Recurrent topics in V. Cappellini's work include Advanced Steganography and Watermarking Techniques (28 papers), Advanced Data Compression Techniques (15 papers) and Chaos-based Image/Signal Encryption (15 papers). V. Cappellini is often cited by papers focused on Advanced Steganography and Watermarking Techniques (28 papers), Advanced Data Compression Techniques (15 papers) and Chaos-based Image/Signal Encryption (15 papers). V. Cappellini collaborates with scholars based in Italy, United States and Canada. V. Cappellini's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and IEEE Transactions on Information Theory.

In The Last Decade

V. Cappellini

93 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
V. Cappellini Italy 20 1.6k 322 254 179 107 105 2.0k
Kuo‐Liang Chung Taiwan 22 1.7k 1.1× 330 1.0× 225 0.9× 299 1.7× 47 0.4× 173 2.2k
A. Ben Hamza Canada 25 1.4k 0.9× 111 0.3× 233 0.9× 349 1.9× 123 1.1× 108 1.9k
Oscar Firschein United States 11 772 0.5× 117 0.4× 427 1.7× 128 0.7× 34 0.3× 34 1.3k
W. Equitz United States 8 2.8k 1.8× 752 2.3× 524 2.1× 253 1.4× 36 0.3× 10 3.3k
Raouf Hamzaoui United Kingdom 22 1.1k 0.7× 483 1.5× 346 1.4× 47 0.3× 109 1.0× 110 1.7k
Ingrid Daubechies United States 15 1.5k 1.0× 740 2.3× 98 0.4× 232 1.3× 101 0.9× 23 2.1k
R. Mehrotra United States 20 2.0k 1.3× 681 2.1× 199 0.8× 249 1.4× 21 0.2× 81 2.4k
Clark F. Olson United States 20 1.2k 0.8× 115 0.4× 270 1.1× 96 0.5× 16 0.1× 61 1.8k
P. M. Narendra United States 9 542 0.3× 204 0.6× 339 1.3× 136 0.8× 24 0.2× 15 1.1k
Hanqi Guo United States 19 812 0.5× 212 0.7× 295 1.2× 60 0.3× 317 3.0× 68 1.3k

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-authorship network of co-authors of V. Cappellini

This figure shows the co-authorship network connecting the top 25 collaborators of V. Cappellini. A scholar is included among the top collaborators of V. Cappellini 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 V. Cappellini. V. Cappellini 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
1.
Uccheddu, Francesca, Andrea Del Mastio, Fabio Remondino, Anna Pelagotti, & V. Cappellini. (2009). Texture mapping of flat-like 3D models. Florence Research (University of Florence). 36. 1–6. 3 indexed citations
2.
Amerini, Irene, et al.. (2009). Analysis of denoising filters for photo response non uniformity noise extraction in source camera identification. IRIS Research product catalog (Sapienza University of Rome). 1–7. 18 indexed citations
3.
Mastio, Andrea Del, V. Cappellini, Roberto Caldelli, Alessia De Rosa, & Alessandro Piva. (2007). Virtual Restoration and Protection of Cultural Heritage Images. 471–474. 13 indexed citations
4.
Cappellini, V. & Alessandro Piva. (2006). Opportunities And Issues Of Image Processing For Cultural Heritage Applications. Zenodo (CERN European Organization for Nuclear Research). 1–5. 3 indexed citations
5.
Corsini, Massimiliano, et al.. (2003). 3D Watermarking Technology: Visual Quality Aspects. Florence Research (University of Florence). 565–572. 4 indexed citations
6.
Alparone, Luciano, G. Benelli, & V. Cappellini. (2003). Noise-reduction algorithms for digital radar images and classification of remote sensed agricultural SAR images. Florence Research (University of Florence). 46. 361–365. 1 indexed citations
7.
Caldelli, Roberto, F. Bartolini, & V. Cappellini. (2002). Metadata hiding tightly binding information to content. Florence Research (University of Florence). 199–199. 1 indexed citations
8.
Barni, Mauro, et al.. (2002). Watermarking techniques for electronic delivery of remote sensing images. Use Siena air (University of Siena). 5. 2265–2267. 6 indexed citations
9.
Alparone, Luciano, Mauro Barni, F. Bartolini, & V. Cappellini. (2002). Adaptively weighted vector-median filters for motion-fields smoothing. Florence Research (University of Florence). 4. 2267–2270. 75 indexed citations
10.
Barni, Mauro, et al.. (2001). From watermark detection to watermark decoding: a PPM approach. Signal Processing. 81(6). 1261–1271. 3 indexed citations
11.
Barni, Mauro, et al.. (2000). A quasi-Euclidean norm to speed up vector median filtering. IEEE Transactions on Image Processing. 9(10). 1704–1709. 43 indexed citations
12.
Cappellini, V.. (1997). Time-Varying Image Processing and Moving Object Recognition: Proceedings of the 5th International Workshop, Florence, Italy, September 5-6, 1996. Elsevier eBooks. 1 indexed citations
13.
Abrardo, Andrea, et al.. (1996). Art-Works Colour Calibration by Using the VASARI Scanner. Color and Imaging Conference. 4(1). 94–96. 8 indexed citations
14.
Alparone, Luciano, V. Cappellini, & Andrea Garzelli. (1994). A Multi-step fast median algorithm for 2-D data of various word-length. Journal of Communications. 45. 3–7.
15.
Barni, Mauro, V. Cappellini, & A. Mecocci. (1994). Fast vector median filter based on Euclidean norm approximation. IEEE Signal Processing Letters. 1(6). 92–94. 41 indexed citations
16.
Cappellini, V., et al.. (1988). A SYSTEM FOR AUTOMATIC DRAFTING ENCODING. Machine Vision and Applications. 173–178. 2 indexed citations
17.
Cappellini, V., et al.. (1986). Advances in image processing and pattern recognition : proceedings of the International Conference, Pisa, Italy, December 10-12, 1985. Elsevier eBooks. 1 indexed citations
18.
Benelli, G., et al.. (1981). Combined amplitude phase modulation for a vhf communication link. Florence Research (University of Florence). 1–6. 2 indexed citations
19.
Benelli, G., et al.. (1980). Some importance sampling techniques with applications to radar systems. Florence Research (University of Florence). 217–227. 1 indexed citations
20.
Benelli, G., et al.. (1975). Generalized Hamming codes for burst-error correction. 44. 658–661. 1 indexed citations

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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