Vittorio Baroncini

23 papers receiving 757 citations

Hit Papers

Emerging MPEG Standards for Point Cloud Compression20182026202020232018100200300400500

Peers

Vittorio Baroncini
Comparison fields: 5 of 36
  • Computer Vision and Pattern Recognition 640
  • Computational Mechanics 303
  • Computer Graphics and Computer-Aided Design 286
  • Signal Processing 207
  • Environmental Engineering 88
Replace Joan Llach with:
Joan Llach United States
Vladyslav Zakharchenko United States
Khaled Mammou United States
Maja Krivokuća United States
Sébastien Lasserre France
Danillo B. Graziosi United States
Teruhiko Suzuki United States
Pan Gao China
Alexis M. Tourapis United States
Emil Dumić Croatia
Vittorio Baroncini relative to Joan Llach United States Joan Llach's profile →
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Citations per year

Countries citing papers authored by Vittorio Baroncini

Since Specialization
Citations

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

Fields of papers citing papers by Vittorio Baroncini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vittorio Baroncini

This figure shows the co-authorship network connecting the top 25 collaborators of Vittorio Baroncini. A scholar is included among the top collaborators of Vittorio Baroncini 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 Vittorio Baroncini. Vittorio Baroncini 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
#WorkIndexed citations
1 2
2
Emerging MPEG Standards for Point Cloud Compressionbreakdown →
509
3 1
4 128
5 2
6 4
7 13
8
Design and logistics in formal subjective test the MPEG case
3
9 6
10 1
11 40
12 9
13 3
14 8
15 2
16 17
17 6
18 3
19 2
20 20

About Vittorio Baroncini

Vittorio Baroncini is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 24 papers that have together received 794 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (13 papers), Video Coding and Compression Technologies (12 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (286 citations), Computer Vision and Pattern Recognition (640 citations) and Signal Processing (207 citations). Vittorio Baroncini has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Sébastien Lasserre, Joan Llach, Maja Krivokuća, Sebastian Schwarz, Ernestasia Siahaan, Rufael Mekuria, Marius Preda, Zhu Li, Alexis M. Tourapis and Vladyslav Zakharchenko. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Signal Processing Image Communication and IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

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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