Danillo B. Graziosi

690 total citations · 1 hit paper
17 papers, 466 citations indexed

About

Danillo B. Graziosi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Danillo B. Graziosi has authored 17 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 7 papers in Signal Processing and 7 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Danillo B. Graziosi's work include Advanced Vision and Imaging (10 papers), Computer Graphics and Visualization Techniques (7 papers) and 3D Shape Modeling and Analysis (5 papers). Danillo B. Graziosi is often cited by papers focused on Advanced Vision and Imaging (10 papers), Computer Graphics and Visualization Techniques (7 papers) and 3D Shape Modeling and Analysis (5 papers). Danillo B. Graziosi collaborates with scholars based in United States, Brazil and Portugal. Danillo B. Graziosi's co-authors include Alexandre Zaghetto, Teruhiko Suzuki, A. Tabatabai, Alexis M. Tourapis, Marius Preda, Euee S. Jang, Khaled Mammou, Jungsun Kim, Madhukar Budagavi and Hussein S. El‐Ghoroury and has published in prestigious journals such as IEEE Signal Processing Magazine, Electronics Letters and IET Image Processing.

In The Last Decade

Danillo B. Graziosi

17 papers receiving 440 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An overview of ongoing point cloud compression standardization activities: video-based (V-PCC) and geometry-based (G-PCC)

2020 292 citations Danillo B. Graziosi, Alexandre Zaghetto et al. APSIPA Transactions on Signal and Information Processing profile →

Peers

Danillo B. Graziosi

CVPR

CM

CGCD

SP

EE

Khaled Mammou United States

Teruhiko Suzuki United States

Maja Krivokuća United States

Joan Llach United States

Vittorio Baroncini Italy

Emil Dumić Croatia

Vladyslav Zakharchenko United States

Maryann Simmons United States

Harry Shum China

Jörg Schmittler Germany

Khaled Mammou United States

Danillo B. Graziosi

478 ×1.4

CVPR

379 ×1.5

CM

352 ×1.5

CGCD

92 ×1.0

SP

103 ×1.4

EE

Citations per year, relative to Danillo B. Graziosi Danillo B. Graziosi (= 1×) peers Khaled Mammou

Countries citing papers authored by Danillo B. Graziosi

Since Specialization

Citations

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

Fields of papers citing papers by Danillo B. Graziosi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danillo B. Graziosi. 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 Danillo B. Graziosi. The network helps show where Danillo B. Graziosi may publish in the future.

Co-authorship network of co-authors of Danillo B. Graziosi

This figure shows the co-authorship network connecting the top 25 collaborators of Danillo B. Graziosi. A scholar is included among the top collaborators of Danillo B. Graziosi 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 Danillo B. Graziosi. Danillo B. Graziosi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

1.

Graziosi, Danillo B., et al.. (2024). Dynamic Mesh Coding Using Orthogonal Atlas Projection. 1–5. 2 indexed citations

2.

Nehmé, Yana, et al.. (2023). Crafting the MPEG metrics for objective and perceptual quality assessment of volumetric videos. PubMed. 8(1). 4–4. 5 indexed citations

3.

Graziosi, Danillo B.. (2021). Video-Based Dynamic Mesh Coding. 3133–3137. 15 indexed citations

4.

Graziosi, Danillo B., A. Tabatabai, Vladyslav Zakharchenko, & Alexandre Zaghetto. (2020). V-PCC Component Synchronization for Point Cloud Reconstruction. 39. 1–5. 1 indexed citations

5.

Graziosi, Danillo B., et al.. (2020). An overview of ongoing point cloud compression standardization activities: video-based (V-PCC) and geometry-based (G-PCC). APSIPA Transactions on Signal and Information Processing. 9(1). 292 indexed citations breakdown →

6.

Graziosi, Danillo B., et al.. (2020). Video-Based Coding Of Volumetric Data. 2706–2710. 2 indexed citations

7.

Jang, Euee S., Marius Preda, Khaled Mammou, et al.. (2019). Video-Based Point-Cloud-Compression Standard in MPEG: From Evidence Collection to Committee Draft [Standards in a Nutshell]. IEEE Signal Processing Magazine. 36(3). 118–123. 100 indexed citations

8.

Graziosi, Danillo B., et al.. (2015). Depth assisted compression of full parallax light fields. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9391. 93910Y–93910Y. 8 indexed citations

9.

Graziosi, Danillo B., et al.. (2014). Compression for full-parallax light field displays. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9011. 90111A–90111A. 6 indexed citations

10.

Guarda, André F. R., et al.. (2014). A novel trilateral filter technique for depth map processing in 3D video coding. 16. 1–4. 1 indexed citations

11.

Graziosi, Danillo B., Nuno M. M. Rodrigues, Eduardo A. B. da Silva, Murilo B. de Carvalho, & Sérgio M. M. de Faria. (2013). Lossy and lossless image encoding using multi‐scale recurrent pattern matching. IET Image Processing. 7(6). 556–566. 2 indexed citations

12.

Graziosi, Danillo B., Dong Tian, & Anthony Vetro. (2012). Depth map up-sampling based on edge layers. 1–4. 6 indexed citations

13.

Graziosi, Danillo B., Nuno M. M. Rodrigues, Carla L. Pagliari, et al.. (2010). Compressing depth maps using multiscale recurrent pattern image coding. Electronics Letters. 46(5). 340–341. 5 indexed citations

14.

Graziosi, Danillo B., Nuno M. M. Rodrigues, Carla L. Pagliari, et al.. (2010). Multiscale recurrent pattern matching approach for depth map coding. 21. 294–297. 3 indexed citations

15.

Graziosi, Danillo B., Nuno M. M. Rodrigues, Eduardo A. B. da Silva, Sérgio M. M. de Faria, & Murilo B. de Carvalho. (2009). Improving multiscale recurrent pattern image coding with least-squares prediction mode. 2813–2816. 12 indexed citations

16.

Graziosi, Danillo B., et al.. (2004). A constant-Q spectral transformation with improved frequency response. cas 33. V–544. 4 indexed citations

17.

Netto, Sérgio L., et al.. (2004). A modified constant-Q transform for audio signals. 2. ii–469. 2 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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