Romuere Silva

1.6k total citations
67 papers, 1.1k citations indexed

About

Romuere Silva is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Romuere Silva has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 38 papers in Artificial Intelligence and 23 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Romuere Silva's work include AI in cancer detection (34 papers), Digital Imaging for Blood Diseases (26 papers) and Retinal Imaging and Analysis (9 papers). Romuere Silva is often cited by papers focused on AI in cancer detection (34 papers), Digital Imaging for Blood Diseases (26 papers) and Retinal Imaging and Analysis (9 papers). Romuere Silva collaborates with scholars based in Brazil, United States and Portugal. Romuere Silva's co-authors include Flávio H. D. Araújo, Rodrigo Veras, Kelson Aires, Luis H. S. Vogado, Daniela Ushizima, F.N.S. Medeiros, Ricardo A. L. Rabêlo, Cláudia Martins Carneiro, Fátima N. S. de Medeiros and Andrea Bianchi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.

In The Last Decade

Romuere Silva

59 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Romuere Silva Brazil 19 591 526 399 119 113 67 1.1k
Rodrigo Veras Brazil 15 629 1.1× 330 0.6× 373 0.9× 104 0.9× 57 0.5× 84 976
Kelson Aires Brazil 11 423 0.7× 233 0.4× 132 0.3× 89 0.7× 54 0.5× 47 663
Youyi Song China 17 306 0.5× 598 1.1× 234 0.6× 65 0.5× 40 0.4× 34 1.2k
Zhen Ma China 15 467 0.8× 387 0.7× 184 0.5× 87 0.7× 340 3.0× 62 1.2k
Hamid Reza Pourreza Iran 21 980 1.7× 237 0.5× 790 2.0× 153 1.3× 69 0.6× 112 1.9k
Xingyu Li Canada 14 421 0.7× 553 1.1× 165 0.4× 40 0.3× 27 0.2× 57 1.2k
Bogdan J. Matuszewski United Kingdom 15 661 1.1× 486 0.9× 414 1.0× 89 0.7× 157 1.4× 74 1.3k
Qiaokang Liang China 23 291 0.5× 336 0.6× 114 0.3× 80 0.7× 228 2.0× 78 1.6k
S. S. Kumar India 17 357 0.6× 321 0.6× 343 0.9× 77 0.6× 19 0.2× 82 922

Countries citing papers authored by Romuere Silva

Since Specialization
Citations

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

Fields of papers citing papers by Romuere Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Romuere Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Romuere Silva. A scholar is included among the top collaborators of Romuere 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 Romuere Silva. Romuere 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.
Júnior, Antônio de Sousa, et al.. (2024). Prediction of carcass rib eye area by ultrasound images in sheep using computer vision. Ciência Rural. 54(10).
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Silva, Romuere, et al.. (2023). Computer Vision in Automatic Visceral Leishmaniasis Diagnosis: a Survey. IEEE Latin America Transactions. 21(2). 310–319. 2 indexed citations
5.
Rodrigues, Anderson Raiol, et al.. (2023). Automatic detection of Visceral Leishmaniasis in humans using Deep Learning. Signal Image and Video Processing. 17(7). 3595–3601. 5 indexed citations
6.
Veras, Rodrigo, et al.. (2023). Evaluation of banknote identification methodologies based on local and deep features. International Journal of Innovative Computing and Applications. 14(1/2). 34–34. 1 indexed citations
7.
Costa, Carlos Henrique Nery, et al.. (2023). Detection of Human Visceral Leishmaniasis Parasites in Microscopy Images from Bone Marrow Parasitological Examination. Applied Sciences. 13(14). 8076–8076. 10 indexed citations
8.
Silva, Romuere, et al.. (2023). CBIR-SAR System Using Stochastic Distance. Sensors. 23(13). 6080–6080.
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Silva, Romuere, et al.. (2022). Automatic detection metastasis in breast histopathological images based on ensemble learning and color adjustment. Biomedical Signal Processing and Control. 75. 103564–103564. 24 indexed citations
10.
Veras, Rodrigo, et al.. (2021). Classification of COVID-19 in X-ray images with Genetic Fine-tuning. Computers & Electrical Engineering. 96. 107467–107467. 4 indexed citations
11.
Silva, Romuere, et al.. (2021). An approach to the classification of COVID-19 based on CT scans using convolutional features and genetic algorithms. Computers in Biology and Medicine. 136. 104744–104744. 33 indexed citations
12.
Rabêlo, Ricardo A. L., et al.. (2021). Detecting pulmonary diseases using deep features in X-ray images. Pattern Recognition. 119. 108081–108081. 36 indexed citations
13.
Silva, Romuere, et al.. (2020). COMPARATIVE STUDY FOR MELANOMA SEGMENTATION IN SKIN LESION IMAGES. 10(1). 1 indexed citations
14.
Silva, Romuere, Flávio H. D. Araújo, João Otávio Bandeira Diniz, et al.. (2020). Breast cancer diagnosis from histopathological images using textural features and CBIR. Artificial Intelligence in Medicine. 105. 101845–101845. 79 indexed citations
15.
Araújo, Flávio H. D., Romuere Silva, Daniela Ushizima, et al.. (2019). Deep learning for cell image segmentation and ranking. Computerized Medical Imaging and Graphics. 72. 13–21. 87 indexed citations
16.
Vogado, Luis H. S., et al.. (2019). Recent computational methods for white blood cell nuclei segmentation: A comparative study. Computer Methods and Programs in Biomedicine. 173. 1–14. 38 indexed citations
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Moreira, Gladston, Daniela Ushizima, Cláudia Martins Carneiro, et al.. (2017). A multi-objective approach for calibration and detection of cervical cells nuclei. 96. 2321–2327. 9 indexed citations
19.
Vogado, Luis H. S., et al.. (2016). Unsupervised Leukemia Cells Segmentation Based on Multi-space Color Channels. 451–456. 23 indexed citations
20.
Silva, Romuere, Kelson Aires, & Rodrigo Veras. (2014). Helmet Detection on Motorcyclists Using Image Descriptors and Classifiers. 141–148. 79 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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