Rodrigo de

525 total citations
19 papers, 63 citations indexed

About

Rodrigo de is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Rodrigo de has authored 19 papers receiving a total of 63 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Human-Computer Interaction. Recurrent topics in Rodrigo de's work include Human Pose and Action Recognition (6 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Advanced Vision and Imaging (3 papers). Rodrigo de is often cited by papers focused on Human Pose and Action Recognition (6 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Advanced Vision and Imaging (3 papers). Rodrigo de collaborates with scholars based in Brazil, United Kingdom and United States. Rodrigo de's co-authors include Paulo Drews, Philip H. S. Torr, Arnab Ghosh, Michael Sapienza, N. Siddharth, Sílvia Silva da Costa Botelho, Thalaiyasingam Ajanthan, Anurag Arnab, Stuart Golodetz and Graçaliz Pereira Dimuro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oxford University Research Archive (ORA) (University of Oxford) and arXiv (Cornell University).

In The Last Decade

Rodrigo de

15 papers receiving 62 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rodrigo de Brazil 4 40 9 6 6 5 19 63
Sri-Kaushik Pavani Spain 4 67 1.7× 12 1.3× 5 0.8× 8 1.3× 14 2.8× 7 98
Lutao Chu China 3 58 1.4× 6 0.7× 4 0.7× 6 1.0× 8 1.6× 4 85
Baohua Lai China 2 55 1.4× 5 0.6× 4 0.7× 5 0.8× 8 1.6× 3 82
Jin Tang China 6 50 1.3× 17 1.9× 3 0.5× 5 0.8× 14 2.8× 10 90
ZhenQiu Zhang China 3 63 1.6× 4 0.4× 5 0.8× 4 0.7× 4 0.8× 5 76
Taner Danışman Türkiye 6 44 1.1× 8 0.9× 5 0.8× 6 1.0× 1 0.2× 15 84
Wen–Sheng Chu United States 5 91 2.3× 6 0.7× 2 0.3× 5 0.8× 2 0.4× 6 119
Manyuan Zhang China 3 84 2.1× 16 1.8× 2 0.3× 4 0.7× 12 2.4× 4 98
Florian Chabot France 4 60 1.5× 3 0.3× 8 1.3× 12 2.0× 5 1.0× 9 67
Florin-Alexandru Vasluianu Switzerland 3 50 1.3× 15 1.7× 2 0.3× 2 0.3× 8 1.6× 3 64

Countries citing papers authored by Rodrigo de

Since Specialization
Citations

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

Fields of papers citing papers by Rodrigo de

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rodrigo de

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

All Works

19 of 19 papers shown
1.
de, Rodrigo, et al.. (2024). UDBE: Unsupervised Diffusion-Based Brightness Enhancement in Underwater Images. 664–670. 3 indexed citations
2.
Silva, Lucas F. M. da, Paulo Drews, & Rodrigo de. (2023). Soybean Weeds Segmentation Using VT-Net: A Convolutional-Transformer Model. 127–132. 3 indexed citations
3.
de, Rodrigo, et al.. (2023). Towards Generating Digital LIBRAS Signers on Mobile Devices. 269–273.
4.
5.
de, Rodrigo, et al.. (2022). SynLibras: A Disentangled Deep Generative Model for Brazilian Sign Language Synthesis. 210–215. 2 indexed citations
6.
de, Rodrigo, et al.. (2021). Fast Spatial-Temporal Transformer Network. 1. 65–72. 1 indexed citations
7.
Dimuro, Graçaliz Pereira, et al.. (2021). UniMRI: Unified Repository of Magnetic Resonance Images for Multiple Sclerosis Diagnosis. 190–194. 1 indexed citations
8.
de, Rodrigo, et al.. (2019). A Conditional Deep Generative Model of People in Natural Images. 1449–1458. 12 indexed citations
9.
de, Rodrigo, Anurag Arnab, Stuart Golodetz, Michael Sapienza, & Philip H. S. Torr. (2018). Deep Fully-Connected Part-Based Models for Human Pose Estimation. Oxford University Research Archive (ORA) (University of Oxford). 327–342. 8 indexed citations
10.
de, Rodrigo, Arnab Ghosh, Thalaiyasingam Ajanthan, et al.. (2018). DGPose: Disentangled Semi-supervised Deep Generative Models for Human Body Analysis.. arXiv (Cornell University).
11.
de, Rodrigo, et al.. (2016). Utilizando visão computacional para reconstrução probabilística 3D e rastreamento de movimento. SHILAP Revista de lepidopterología.
12.
de, Rodrigo, et al.. (2015). Acción internacional para la sustentabilidad local. 147–168. 1 indexed citations
13.
Lobato, Fábio M. F., et al.. (2015). Non-invasive sleep-environment monitoring system. 1–7. 5 indexed citations
14.
de, Rodrigo, et al.. (2013). Performance Evaluation of BRISK Algorithm on Mobile Devices. 5–11. 1 indexed citations
15.
de, Rodrigo, et al.. (2013). A 3D motion tracking method based on Nonparametric Belief Propagation. 25. 1616–1622.
16.
de, Rodrigo, et al.. (2013). 3D Representation Models Construction through a Volume Geometric Decomposition Method. 274–279. 1 indexed citations
17.
Drews, Paulo, et al.. (2011). Analyzing and exploring feature detectors in images. 305–310. 18 indexed citations
18.
de, Rodrigo, et al.. (2010). 3D Motion Tracking Based on Probabilistic Volumetric Reconstruction and Optical Flow. 279–286. 3 indexed citations
19.
Botelho, Sílvia Silva da Costa, et al.. (2005). C-NLPCA: Extracting Non-Linear Principal Components of Image Datasets. 3 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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