Eduardo A. B. da Silva

5.8k total citations · 2 hit papers
178 papers, 3.7k citations indexed

About

Eduardo A. B. da Silva is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Eduardo A. B. da Silva has authored 178 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Computer Vision and Pattern Recognition, 63 papers in Signal Processing and 22 papers in Media Technology. Recurrent topics in Eduardo A. B. da Silva's work include Advanced Data Compression Techniques (61 papers), Image and Signal Denoising Methods (45 papers) and Advanced Vision and Imaging (37 papers). Eduardo A. B. da Silva is often cited by papers focused on Advanced Data Compression Techniques (61 papers), Image and Signal Denoising Methods (45 papers) and Advanced Vision and Imaging (37 papers). Eduardo A. B. da Silva collaborates with scholars based in Brazil, Portugal and United States. Eduardo A. B. da Silva's co-authors include Sérgio L. Netto, R. Padilla, Paulo S. R. Diniz, Wesley L. Passos, Carla L. Pagliari, Murilo B. de Carvalho, Lisandro Lovisolo, Nuno M. M. Rodrigues, Sérgio M. M. de Faria and M. Ghanbari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Research and Chemical Engineering Journal.

In The Last Decade

Eduardo A. B. da Silva

164 papers receiving 3.6k citations

Hit Papers

A Survey on Performance Metrics for Object-Detection Algo... 2020 2026 2022 2024 2020 2021 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eduardo A. B. da Silva Brazil 26 1.8k 568 474 448 435 178 3.7k
Fan Liu China 22 1.4k 0.8× 303 0.5× 395 0.8× 487 1.1× 1.1k 2.5× 113 4.2k
S.L. Eddins United States 8 2.5k 1.4× 423 0.7× 315 0.7× 804 1.8× 485 1.1× 16 5.0k
Bin Fang China 31 2.1k 1.1× 319 0.6× 201 0.4× 723 1.6× 604 1.4× 304 3.7k
Zhong‐Qiu Zhao China 20 2.6k 1.4× 168 0.3× 321 0.7× 535 1.2× 964 2.2× 72 4.8k
Sérgio L. Netto Brazil 19 907 0.5× 458 0.8× 450 0.9× 132 0.3× 388 0.9× 115 2.6k
Václav Hlaváč Czechia 23 2.6k 1.4× 227 0.4× 216 0.5× 474 1.1× 718 1.7× 85 4.4k
Yang Zhao China 25 2.8k 1.5× 301 0.5× 442 0.9× 643 1.4× 966 2.2× 142 4.7k
Athanasios Voulodimos Greece 26 1.3k 0.7× 190 0.3× 618 1.3× 241 0.5× 1.0k 2.4× 123 4.3k
Xuguang Lan China 16 1.8k 1.0× 195 0.3× 276 0.6× 282 0.6× 600 1.4× 102 3.0k
Honggang Qi China 20 3.4k 1.9× 334 0.6× 291 0.6× 354 0.8× 1.0k 2.4× 101 4.9k

Countries citing papers authored by Eduardo A. B. da Silva

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo A. B. da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eduardo A. B. da Silva. 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 Eduardo A. B. da Silva. The network helps show where Eduardo A. B. da Silva may publish in the future.

Co-authorship network of co-authors of Eduardo A. B. da Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo A. B. da Silva. A scholar is included among the top collaborators of Eduardo A. B. da Silva 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 Eduardo A. B. da Silva. Eduardo A. B. da Silva 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.
Marins, Matheus Araújo, et al.. (2024). Development of Oilwell Fault Classifiers Using a Wavelet-Based Multivariable Approach in a Modular Architecture. SPE Journal. 29(9). 4542–4556.
2.
Carvalho, Murilo B. de, Carla L. Pagliari, Colas Schretter, et al.. (2023). Supporting Wider Baseline Light Fields in JPEG Pleno With a Novel Slanted 4D-DCT Coding Mode. IEEE Access. 11. 28294–28317. 3 indexed citations
3.
Padilla, R., et al.. (2023). Change detection in moving-camera videos with limited samples using twin-CNN features and learnable morphological operations. Signal Processing Image Communication. 115. 116969–116969. 1 indexed citations
4.
Abad, Zahra Shakeri Hossein, et al.. (2023). The ecological determinants of severe dengue: A Bayesian inferential model. Ecological Informatics. 74. 101986–101986. 5 indexed citations
5.
Passos, Wesley L., et al.. (2021). Automatic event identification and extraction from daily drilling reports using an expert system and artificial intelligence. Journal of Petroleum Science and Engineering. 205. 108939–108939. 9 indexed citations
6.
Carvalho, Murilo B. de, Carla L. Pagliari, Pedro Garcia Freitas, et al.. (2020). The JPEG Pleno Light Field Coding Standard 4D-Transform Mode: How to Design an Efficient 4D-Native Codec. IEEE Access. 8. 170807–170829. 19 indexed citations
7.
Silva, Eduardo A. B. da, et al.. (2017). Efficient Predictive Algorithms for Image Compression. CERN Document Server (European Organization for Nuclear Research). 5 indexed citations
8.
Silva, Eduardo A. B. da, et al.. (2017). Anomaly detection with a moving camera using spatio-temporal codebooks. Multidimensional Systems and Signal Processing. 29(3). 1025–1054. 13 indexed citations
9.
Rodrigues, Nuno M. M., et al.. (2016). Recurrent pattern matching based stereo image coding using linear predictors. Multidimensional Systems and Signal Processing. 28(4). 1393–1416. 4 indexed citations
10.
Lima, Amaro A. de, et al.. (2016). The influence of feature vector on the classification of mechanical faults using neural networks. 115–118. 20 indexed citations
11.
12.
Silva, Eduardo A. B. da, et al.. (2014). GESTÃO ACADÊMICA: UMA INVESTIGAÇÃO COM INSTITUIÇÕES DE ENSINO SUPERIOR DO VALE DO ITAJAÍ – SANTA CATARINA. 1(13). 1 indexed citations
13.
Silva, Eduardo A. B. da, et al.. (2013). AUTORREGULAÇÃO: PROCESSO METACOGNITIVO FACILITADOR DA APRENDIZAGEM. SHILAP Revista de lepidopterología. 1 indexed citations
14.
Rodrigues, Nuno M. M., et al.. (2012). Efficient Recurrent Pattern Matching Video Coding. IEEE Transactions on Circuits and Systems for Video Technology. 22(8). 1161–1173. 4 indexed citations
15.
Rodrigues, Nuno M. M., et al.. (2008). ECG Signal Compression Based on Dc Equalization and Complexity Sorting. IEEE Transactions on Biomedical Engineering. 55(7). 1923–1926. 33 indexed citations
16.
Pearlman, William A., et al.. (2008). Compression of Hyperspectral Images with LVQ-SPECK. 14. 93–102. 3 indexed citations
17.
Silva, Eduardo A. B. da, et al.. (2002). Closed-form solutions for discriminative filtering using impulse restoration techniques. Electronics Letters. 38(22). 1332–1333. 3 indexed citations
18.
Lovisolo, Lisandro & Eduardo A. B. da Silva. (2001). Uniform distribution of points on a hyper-sphere with applications to vector bit-plane encoding. IEE Proceedings - Vision Image and Signal Processing. 148(3). 187–187. 34 indexed citations
19.
Silva, Eduardo A. B. da, et al.. (1997). Design of wavelets for image compression satisfyingperceptual criteria. Electronics Letters. 33(1). 40–41. 2 indexed citations
20.
Silva, Eduardo A. B. da & M. Ghanbari. (1993). A DCT-based aliasing cancellation method in subband coding. IEEE Transactions on Circuits and Systems for Video Technology. 3(5). 384–387.

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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