Bruno Zatt

1.8k total citations
211 papers, 1.3k citations indexed

About

Bruno Zatt is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Bruno Zatt has authored 211 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 197 papers in Signal Processing, 186 papers in Computer Vision and Pattern Recognition and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Bruno Zatt's work include Video Coding and Compression Technologies (197 papers), Advanced Vision and Imaging (120 papers) and Image and Video Quality Assessment (96 papers). Bruno Zatt is often cited by papers focused on Video Coding and Compression Technologies (197 papers), Advanced Vision and Imaging (120 papers) and Image and Video Quality Assessment (96 papers). Bruno Zatt collaborates with scholars based in Brazil, Germany and United States. Bruno Zatt's co-authors include Luciano Agostini, Sérgio Bampi, Marcelo Porto, Muhammad Shafique, Jörg Henkel, Daniel Palomino, Guilherme Corrêa, Mateus Grellert, Gustavo Sanchez and Mário Saldanha and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Computers and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Bruno Zatt

196 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruno Zatt Brazil 16 1.1k 1.1k 174 113 106 211 1.3k
İlker Hamzaoğlu Türkiye 18 868 0.8× 857 0.8× 96 0.6× 71 0.6× 41 0.4× 86 1.0k
Antti Hallapuro Finland 13 1.2k 1.1× 1.2k 1.1× 100 0.6× 60 0.5× 75 0.7× 24 1.3k
Marko Viitanen Finland 13 752 0.7× 915 0.9× 53 0.3× 31 0.3× 52 0.5× 39 989
Dajiang Zhou Japan 14 412 0.4× 469 0.4× 164 0.9× 35 0.3× 115 1.1× 68 611
M Wien Germany 17 1.0k 0.9× 1.2k 1.1× 131 0.8× 13 0.1× 160 1.5× 69 1.4k
Mladen Bereković Germany 15 206 0.2× 185 0.2× 253 1.5× 411 3.6× 274 2.6× 105 738
I. Kuroda Japan 12 159 0.1× 179 0.2× 156 0.9× 183 1.6× 94 0.9× 38 431
C. Chakrabarti United States 13 240 0.2× 237 0.2× 213 1.2× 211 1.9× 122 1.2× 44 589
Chuanmin Jia China 17 487 0.5× 1.0k 1.0× 54 0.3× 6 0.1× 35 0.3× 79 1.2k
Shlomo Greenberg Israel 11 227 0.2× 264 0.3× 93 0.5× 50 0.4× 44 0.4× 43 462

Countries citing papers authored by Bruno Zatt

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Zatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Zatt

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Zatt. A scholar is included among the top collaborators of Bruno Zatt 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 Bruno Zatt. Bruno Zatt 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.
Povala, Guilherme, Bruna Bellaver, Firoza Z Lussier, et al.. (2024). Universal tau PET scale (Uniτ) – The HEAD Study. Alzheimer s & Dementia. 20(S2). 1 indexed citations
2.
Agostini, Luciano, et al.. (2024). Memory-Centered Motion Estimation System With CTB-Based Full-Splitting Algorithm. IEEE Transactions on Consumer Electronics. 70(2). 5007–5019. 2 indexed citations
3.
Povala, Guilherme, Bruna Bellaver, Firoza Z Lussier, et al.. (2024). Creating Universal Tau PET Scale (Uniτ) Parametric Images – The HEAD Study. Alzheimer s & Dementia. 20(S9). 1 indexed citations
4.
Zatt, Bruno, et al.. (2024). A systematic literature review on video transcoding acceleration: challenges, solutions, and trends. Multimedia Tools and Applications. 83(24). 64079–64108. 4 indexed citations
5.
Povala, Guilherme, Marco Antônio De Bastiani, Bruna Bellaver, et al.. (2024). Omics‐derived biological modules reflect metabolic brain changes in Alzheimer's disease. Alzheimer s & Dementia. 20(10). 6709–6721. 1 indexed citations
6.
7.
Agostini, Luciano, et al.. (2023). A High-Throughput Hardware Design for the AV1 Decoder Intraprediction. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 31(4). 498–511.
8.
Agostini, Luciano, et al.. (2021). FastInter360: A Fast Inter Mode Decision for HEVC 360 Video Coding. IEEE Transactions on Circuits and Systems for Video Technology. 32(5). 3235–3249. 13 indexed citations
9.
Saldanha, Mário, Guilherme Corrêa, Daniel Palomino, et al.. (2021). AV1 and VVC Video Codecs: Overview on Complexity Reduction and Hardware Design. SHILAP Revista de lepidopterología. 2. 564–576. 3 indexed citations
10.
Zatt, Bruno, et al.. (2021). Complexity-scalable HEVC-to-AV1 video transcoding based on partition inheritance. Journal of Real-Time Image Processing. 18(6). 2151–2163. 3 indexed citations
11.
Zatt, Bruno, et al.. (2020). Energy-Throughput Configurable Design for Video Processing Binary Arithmetic Encoder. IEEE Transactions on Circuits and Systems for Video Technology. 31(3). 1163–1177. 5 indexed citations
12.
Zatt, Bruno, et al.. (2019). Residual Syntax Elements Analysis and Design Targeting High-Throughput HEVC CABAC. IEEE Transactions on Circuits and Systems I Regular Papers. 67(2). 475–488. 15 indexed citations
13.
Grellert, Mateus, et al.. (2019). Quality and Energy-Aware HEVC Transrating Based on Machine Learning. IEEE Transactions on Circuits and Systems I Regular Papers. 66(6). 2124–2136. 4 indexed citations
14.
Porto, Marcelo, et al.. (2019). High-Throughput Multifilter Interpolation Architecture for AV1 Motion Compensation. IEEE Transactions on Circuits & Systems II Express Briefs. 66(5). 883–887. 24 indexed citations
15.
Saldanha, Mário, et al.. (2019). High-Throughput Hardware for 3D-HEVC Depth-Map Intra Prediction. IEEE Design and Test. 37(3). 7–14. 1 indexed citations
16.
Grellert, Mateus, Bruno Zatt, Sérgio Bampi, & Luís A. da Silva Cruz. (2018). Fast Coding Unit Partition Decision for HEVC Using Support Vector Machines. IEEE Transactions on Circuits and Systems for Video Technology. 29(6). 1741–1753. 39 indexed citations
17.
Saldanha, Mário, Guilherme Corrêa, Marcelo Porto, et al.. (2018). Energy-Aware Motion and Disparity Estimation System for 3D-HEVC With Run-Time Adaptive Memory Hierarchy. IEEE Transactions on Circuits and Systems for Video Technology. 29(6). 1878–1892. 6 indexed citations
18.
Zatt, Bruno, et al.. (2016). Low-power hardware design for the HEVC binary arithmetic encoder targeting 8K videos. 1–6. 5 indexed citations
19.
Grellert, Mateus, et al.. (2015). Rate-distortion and energy performance of HEVC and H.264/AVC encoders: A comparative analysis. 1278–1281. 14 indexed citations
20.
Shafique, Muhammad, Bruno Zatt, Semeen Rehman, Florian Kriebel, & Jörg Henkel. (2012). Power-efficient error-resiliency for H.264/AVC context-adaptive variable length coding. Design, Automation, and Test in Europe. 697–702. 5 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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