R. Lancini

528 total citations
49 papers, 324 citations indexed

About

R. Lancini is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, R. Lancini has authored 49 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 22 papers in Signal Processing and 11 papers in Artificial Intelligence. Recurrent topics in R. Lancini's work include Advanced Data Compression Techniques (17 papers), Advanced Steganography and Watermarking Techniques (14 papers) and Digital Media Forensic Detection (11 papers). R. Lancini is often cited by papers focused on Advanced Data Compression Techniques (17 papers), Advanced Steganography and Watermarking Techniques (14 papers) and Digital Media Forensic Detection (11 papers). R. Lancini collaborates with scholars based in Italy and Switzerland. R. Lancini's co-authors include Stefano Tubaro, Michele Fumagalli, Simone Arena, M. C. Marconi, Pierangelo Migliorati, Marco Barbieri, Stefano Russo, Enrico Vicario, Maddalena Ripamonti and Stephanie A. Russo and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Communications and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

R. Lancini

45 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Lancini Italy 10 300 164 43 24 16 49 324
A. Puri United States 9 345 1.1× 276 1.7× 24 0.6× 19 0.8× 15 0.9× 20 374
Hyunho Yeo South Korea 5 263 0.9× 109 0.7× 13 0.3× 58 2.4× 18 1.1× 11 296
Michael Isnardi United States 8 86 0.3× 83 0.5× 30 0.7× 28 1.2× 14 0.9× 18 145
Jim Bankoski United States 7 385 1.3× 312 1.9× 11 0.3× 18 0.8× 22 1.4× 10 417
Fatiha Djebbar United Arab Emirates 9 285 0.9× 81 0.5× 42 1.0× 11 0.5× 11 0.7× 17 327
Yoshihide Tonomura Japan 8 289 1.0× 164 1.0× 35 0.8× 38 1.6× 32 2.0× 41 342
Yushuo Guan China 6 184 0.6× 45 0.3× 50 1.2× 21 0.9× 10 0.6× 8 206
C. Chrysafis United States 8 406 1.4× 253 1.5× 45 1.0× 20 0.8× 11 0.7× 13 425
K.-M. Yang United States 4 285 0.9× 278 1.7× 10 0.2× 23 1.0× 22 1.4× 11 321
M. Goldberg Canada 7 304 1.0× 122 0.7× 24 0.6× 6 0.3× 13 0.8× 19 317

Countries citing papers authored by R. Lancini

Since Specialization
Citations

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

Fields of papers citing papers by R. Lancini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Lancini

This figure shows the co-authorship network connecting the top 25 collaborators of R. Lancini. A scholar is included among the top collaborators of R. Lancini 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 R. Lancini. R. Lancini 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.
Lancini, R., et al.. (2006). A sequence-based error-concealment algorithm for an unbalanced multiple description video coding system. Signal Processing Image Communication. 21(10). 829–849. 2 indexed citations
2.
Fumagalli, Michele, R. Lancini, & Stefano Tubaro. (2006). Video Quality Assessment from the Perspective of a Network Service Provider. 98. 324–328. 1 indexed citations
3.
Fumagalli, Michele, et al.. (2004). Accurate estimate of the decoded video quality: extension of ROPE algorithm to half-pixel precision. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 191–196. 8 indexed citations
4.
Fumagalli, Michele, et al.. (2004). A space domain approach for multiple description video coding. 2. III–253. 3 indexed citations
5.
Lancini, R., et al.. (2004). Algorithm for summarization and key extraction in athletic video. 10. 229–232. 1 indexed citations
6.
Lancini, R., et al.. (2003). Audio hashing technique for automatic song identification. 84–88. 10 indexed citations
7.
Lancini, R., et al.. (2003). Embedding indexing information in audio signal using watermarking technique. 66. 257–261. 4 indexed citations
8.
Lancini, R., et al.. (2002). Some experiments on vector quantization using neural nets. 135–139.
9.
Lancini, R., et al.. (2002). Data hiding in MPEG-2 bit stream domain. 2. 363–364. 6 indexed citations
10.
Fumagalli, Michele, et al.. (2001). Video transmission over IP by using polyphase downsampling multiple description coding. 1095–1098. 2 indexed citations
11.
Lancini, R., et al.. (2001). <title>Audio watermarking technologies for automatic cue sheet generation systems</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4314. 96–103. 1 indexed citations
12.
Lancini, R., et al.. (2001). Audio watermarking based technologies for automatic identification of musical pieces in audiotracks. 66. 1119–1122. 2 indexed citations
13.
Lancini, R., et al.. (2000). A perceptual PSNR based on the utilization of a linear model of HVS, motion vectors and DFT-3D. European Signal Processing Conference. 1–4. 2 indexed citations
14.
Lancini, R., et al.. (2000). <title>Polyphase down-sampling multiple-description coding for IP transmission</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4310. 545–552. 13 indexed citations
15.
Lancini, R., et al.. (1995). Video coding scheme using DCT-pyramid vector quantization. IEEE Transactions on Image Processing. 4(3). 309–319. 11 indexed citations
16.
Lancini, R. & Stefano Tubaro. (1995). Adaptive vector quantization for picture coding using neural networks. IEEE Transactions on Communications. 43(2/3/4). 534–544. 7 indexed citations
17.
Lancini, R., et al.. (1993). Pyramid vector quantization applied to a video coding scheme for contribution quality. IEEE International Conference on Acoustics Speech and Signal Processing. 249–252 vol.5. 4 indexed citations
18.
Lancini, R., et al.. (1993). Still images retrieval from a remote database: The system Imagine. Signal Processing Image Communication. 5(3). 219–234. 7 indexed citations
19.
Lancini, R., et al.. (1992). Neural network approach for adaptive vector quantization of images.. International Conference on Acoustics, Speech, and Signal Processing. 389–392. 6 indexed citations
20.
Lancini, R., et al.. (1991). Color handling in the image retrieval system Imagine. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1606. 934–934. 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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