Geraldo Bráz

1.4k total citations
108 papers, 806 citations indexed

About

Geraldo Bráz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Geraldo Bráz has authored 108 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 37 papers in Artificial Intelligence and 37 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Geraldo Bráz's work include AI in cancer detection (27 papers), Retinal Imaging and Analysis (22 papers) and Digital Imaging for Blood Diseases (20 papers). Geraldo Bráz is often cited by papers focused on AI in cancer detection (27 papers), Retinal Imaging and Analysis (22 papers) and Digital Imaging for Blood Diseases (20 papers). Geraldo Bráz collaborates with scholars based in Brazil, Mexico and Portugal. Geraldo Bráz's co-authors include Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Marcelo Gattass, João Dallyson Sousa de Almeida, João Otávio Bandeira Diniz, Alexandre Cêsar Muniz de Oliveira, Leonardo Martins, Luana Batista da Cruz, Rodrigo Veras and João Manuel R. S. Tavares and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Geraldo Bráz

90 papers receiving 765 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geraldo Bráz Brazil 16 334 332 321 122 57 108 806
Muhammad Owais Pakistan 20 485 1.5× 318 1.0× 428 1.3× 137 1.1× 75 1.3× 94 1.2k
Md. Nahiduzzaman Bangladesh 20 474 1.4× 325 1.0× 277 0.9× 98 0.8× 48 0.8× 45 1.1k
Rodrigo Veras Brazil 15 373 1.1× 330 1.0× 629 2.0× 147 1.2× 57 1.0× 84 976
Junjun He China 15 313 0.9× 333 1.0× 638 2.0× 162 1.3× 32 0.6× 75 1.1k
Niloy Sikder Bangladesh 11 366 1.1× 308 0.9× 209 0.7× 48 0.4× 40 0.7× 19 709
Mohamed Hamed N. Taha Egypt 12 421 1.3× 246 0.7× 612 1.9× 52 0.4× 12 0.2× 29 1.2k
Qingyao Wu China 14 186 0.6× 176 0.5× 164 0.5× 54 0.4× 49 0.9× 38 604
Alaa S. Al‐Waisy Iraq 16 320 1.0× 250 0.8× 261 0.8× 79 0.6× 10 0.2× 30 915

Countries citing papers authored by Geraldo Bráz

Since Specialization
Citations

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

Fields of papers citing papers by Geraldo Bráz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geraldo Bráz

This figure shows the co-authorship network connecting the top 25 collaborators of Geraldo Bráz. A scholar is included among the top collaborators of Geraldo Bráz 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 Geraldo Bráz. Geraldo Bráz 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.
Silva, Aristófanes Corrêa, et al.. (2025). A Cascade Method based on UNet3+ for Automated Vertebrae Segmentation in X-ray Images. Procedia Computer Science. 256. 789–796. 1 indexed citations
2.
Bráz, Geraldo, et al.. (2025). DualAttentionNet: A Convolutional Neural Network for Thoracic Disease Classification in Chest X-Rays. Procedia Computer Science. 256. 797–804.
3.
Almeida, João Dallyson Sousa de, et al.. (2025). A meta-learning based neural network and LSTM for univariate time series missing data imputation. Applied Soft Computing. 172. 112845–112845.
4.
Paiva, Anselmo Cardoso de, et al.. (2024). Deep learning for detecting dilated or contracted pupils. Biomedical Signal Processing and Control. 94. 106360–106360. 1 indexed citations
5.
Bráz, Geraldo, et al.. (2024). Proposing Usability-UX technologies for the design and evaluation of text-based chatbots. SHILAP Revista de lepidopterología. 15(1). 234–251. 2 indexed citations
6.
8.
Rivero, Luís, et al.. (2023). Transfer learning-based lung segmentation and pneumonia detection for paediatric chest X-ray images. International Journal of Innovative Computing and Applications. 14(1/2). 56–56. 1 indexed citations
9.
Teles, Amanda Mara, Joana Santos, Marcelo Souza de Andrade, et al.. (2023). Malignancy Associated with Low-Risk HPV6 and HPV11: A Systematic Review and Implications for Cancer Prevention. Cancers. 15(16). 4068–4068. 19 indexed citations
10.
Paiva, Anselmo Cardoso de, Geraldo Bráz, João Dallyson Sousa de Almeida, et al.. (2023). A Method for Detecting Pathologies in Concrete Structures Using Deep Neural Networks. Applied Sciences. 13(9). 5763–5763. 10 indexed citations
11.
Bráz, Geraldo, João Dallyson Sousa de Almeida, Aristófanes Corrêa Silva, et al.. (2022). Defining an A/B Testing Process for Usability and User Experience Evaluation Through the Analysis of the Results of a Literature Review. Lecture notes in computer science. 204–213. 1 indexed citations
12.
Paiva, Anselmo Cardoso de, et al.. (2022). Classification of Video Capsule Endoscopy Images Using Visual Transformers. 1–4. 2 indexed citations
13.
Bráz, Geraldo, et al.. (2020). Multilevel CNN for Angle Closure Glaucoma Detection using AS-OCT Images. 105–110. 5 indexed citations
14.
Paiva, Anselmo Cardoso de, et al.. (2020). Classification of breast masses in mammograms using geometric and topological feature maps and shape distribution. Research on Biomedical Engineering. 36(3). 225–235. 8 indexed citations
15.
Cruz, Luana Batista da, Anselmo Cardoso de Paiva, João Dallyson Sousa de Almeida, et al.. (2019). Interferometer eye image classification for dry eye categorization using phylogenetic diversity indexes for texture analysis. Computer Methods and Programs in Biomedicine. 188. 105269–105269. 17 indexed citations
16.
Bráz, Geraldo, et al.. (2018). Evaluation of Melanoma Diagnosis using Deep Features. 1–4. 14 indexed citations
17.
Bráz, Geraldo, et al.. (2018). Glaucoma Diagnosis over Eye Fundus Image through Deep Features. 1–4. 16 indexed citations
18.
Paiva, Anselmo Cardoso de, et al.. (2018). Semivariogram and Semimadogram functions as descriptors for AMD diagnosis on SD-OCT topographic maps using Support Vector Machine. BioMedical Engineering OnLine. 17(1). 160–160. 11 indexed citations
19.
Bráz, Geraldo, et al.. (2013). A False Positive Reduction in Mass Detection Approach using Spatial Diversity Analysis. 208–213. 1 indexed citations
20.

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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