Daniel Palomino

652 total citations
94 papers, 431 citations indexed

About

Daniel Palomino is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Daniel Palomino has authored 94 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Signal Processing, 83 papers in Computer Vision and Pattern Recognition and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Daniel Palomino's work include Video Coding and Compression Technologies (85 papers), Image and Video Quality Assessment (55 papers) and Advanced Vision and Imaging (41 papers). Daniel Palomino is often cited by papers focused on Video Coding and Compression Technologies (85 papers), Image and Video Quality Assessment (55 papers) and Advanced Vision and Imaging (41 papers). Daniel Palomino collaborates with scholars based in Brazil, Portugal and Germany. Daniel Palomino's co-authors include Luciano Agostini, Bruno Zatt, Guilherme Corrêa, Sérgio Bampi, Marcelo Porto, Altamiro Susin, Muhammad Shafique, Jörg Henkel, Cauane Blumenberg and Cláudio Diniz and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Circuits and Systems I Regular Papers.

In The Last Decade

Daniel Palomino

79 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Palomino Brazil 12 360 356 56 27 21 94 431
Alexandre Mercat Finland 8 492 1.4× 384 1.1× 34 0.6× 23 0.9× 24 1.1× 40 546
Valeri George Germany 10 368 1.0× 327 0.9× 27 0.5× 14 0.5× 9 0.4× 22 406
Adam Wieckowski Germany 11 392 1.1× 355 1.0× 53 0.9× 13 0.5× 6 0.3× 36 463
Cláudio Diniz Brazil 12 262 0.7× 287 0.8× 170 3.0× 54 2.0× 16 0.8× 60 442
M.J. Garrido Spain 11 237 0.7× 235 0.7× 43 0.8× 56 2.1× 37 1.8× 35 307
Jae‐Won Suh South Korea 9 288 0.8× 222 0.6× 22 0.4× 10 0.4× 22 1.0× 53 334
Kenneth Andersson Sweden 9 528 1.5× 420 1.2× 29 0.5× 8 0.3× 12 0.6× 23 574
Dan Grois Israel 10 398 1.1× 352 1.0× 25 0.4× 13 0.5× 27 1.3× 31 447
Tobias Hinz Germany 11 692 1.9× 600 1.7× 33 0.6× 9 0.3× 11 0.5× 23 733
Dajiang Zhou Japan 10 272 0.8× 262 0.7× 44 0.8× 15 0.6× 38 1.8× 30 302

Countries citing papers authored by Daniel Palomino

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Palomino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Palomino

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Palomino. A scholar is included among the top collaborators of Daniel Palomino 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 Daniel Palomino. Daniel Palomino 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.
Palomino, Daniel, et al.. (2024). Low-Power Multiversion Interpolation Filter Accelerator With Hardware Reuse for AV1 Codec. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 15(1). 133–142.
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Palomino, Daniel, et al.. (2023). A Hardware Design for the Multi-Transform Module of the Versatile Video Coding Standard. 14. 1–6. 2 indexed citations
5.
Diniz, Cláudio, et al.. (2023). Multi-Size Inverse DCT-II Hardware Design for the VVC Decoder. 1–4. 1 indexed citations
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Diniz, Cláudio, et al.. (2023). Low-Power Inverse Multiple Transform Hardware Design for 8K@60fps Real-Time VVC Decoding. Journal of Integrated Circuits and Systems. 18(3). 1–8.
8.
Palomino, Daniel, et al.. (2022). Multiple Transform Selection Hardware Design for 4K@60fps Real-Time Versatile Video Coding. 2022 IEEE International Symposium on Circuits and Systems (ISCAS). 1–5. 2 indexed citations
9.
Roma, Nuno, et al.. (2022). Mode-Adaptive Subsampling of SAD/SSE Operations for Intra Prediction Cost Reduction. 2022 IEEE International Symposium on Circuits and Systems (ISCAS). 997119. 1808–1812. 2 indexed citations
10.
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
11.
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
12.
Palomino, Daniel, et al.. (2021). Modern Video Coding: Methods, Challenges and Systems. Journal of Integrated Circuits and Systems. 16(2). 1–12. 5 indexed citations
13.
Corrêa, Guilherme, Luciano Agostini, Daniel Palomino, et al.. (2020). Low-Power and Memory-Aware Approximate Hardware Architecture for Fractional Motion Estimation Interpolation on HEVC. 1–5. 6 indexed citations
14.
Agostini, Luciano, et al.. (2020). ERP-Based CTU Splitting Early Termination for Intra Prediction of 360 videos. 359–362. 5 indexed citations
15.
Palomino, Daniel, et al.. (2020). Fast VP9-to-AV1 Transcoding based on Block Partitioning Inheritance. 555–559. 4 indexed citations
16.
Palomino, Daniel, et al.. (2020). 6WR: A Hardware Friendly 3D-HEVC DMM-1 Algorithm and its Energy-Aware and High-Throughput Design. IEEE Transactions on Circuits & Systems II Express Briefs. 67(5). 836–840. 1 indexed citations
17.
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
18.
Palomino, Daniel, et al.. (2019). Design Space Exploration of HEVC RCL Mapped onto NoC-Based Embedded Platforms. 4. 1–8. 1 indexed citations
19.
Agostini, Luciano, et al.. (2018). Configurable Cache Memory Architecture for Low-Energy Motion Estimation. 64. 1–5. 5 indexed citations
20.
Palomino, Daniel, Muhammad Shafique, Hussam Amrouch, Altamiro Susin, & Jörg Henkel. (2014). hevcDTM: application-driven dynamic thermal management for high efficiency video coding. Design, Automation, and Test in Europe. 1–4. 8 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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