Kelson Aires

987 total citations
47 papers, 663 citations indexed

About

Kelson Aires is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kelson Aires has authored 47 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kelson Aires's work include Digital Imaging for Blood Diseases (14 papers), AI in cancer detection (10 papers) and Video Surveillance and Tracking Methods (7 papers). Kelson Aires is often cited by papers focused on Digital Imaging for Blood Diseases (14 papers), AI in cancer detection (10 papers) and Video Surveillance and Tracking Methods (7 papers). Kelson Aires collaborates with scholars based in Brazil, Portugal and Germany. Kelson Aires's co-authors include Rodrigo Veras, Romuere Silva, Flávio H. D. Araújo, Luis H. S. Vogado, André M. Santana, André Soares, João Manuel R. S. Tavares, Geraldo Bráz, Moacir Antonelli Ponti and Anselmo Cardoso de Paiva and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Kelson Aires

39 papers receiving 619 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kelson Aires Brazil 11 423 233 132 89 71 47 663
Rodrigo Veras Brazil 15 629 1.5× 330 1.4× 373 2.8× 104 1.2× 70 1.0× 84 976
M. Gorgoń Poland 15 338 0.8× 132 0.6× 39 0.3× 51 0.6× 16 0.2× 51 583
Van-Dung Hoang South Korea 12 327 0.8× 132 0.6× 21 0.2× 36 0.4× 24 0.3× 64 556
Yoshito Mekada Japan 13 319 0.8× 68 0.3× 87 0.7× 64 0.7× 11 0.2× 64 575
Kahlil Muchtar Indonesia 12 305 0.7× 131 0.6× 190 1.4× 61 0.7× 14 0.2× 64 594
Chandran Venkatesan India 11 118 0.3× 312 1.3× 146 1.1× 15 0.2× 45 0.6× 21 964
Ganbayar Batchuluun South Korea 17 363 0.9× 204 0.9× 192 1.5× 43 0.5× 5 0.1× 34 777
Md. Nahiduzzaman Bangladesh 20 277 0.7× 325 1.4× 474 3.6× 33 0.4× 11 0.2× 45 1.1k
Bayram Akdemïr Türkiye 14 213 0.5× 202 0.9× 131 1.0× 41 0.5× 20 0.3× 43 621

Countries citing papers authored by Kelson Aires

Since Specialization
Citations

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

Fields of papers citing papers by Kelson Aires

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kelson Aires

This figure shows the co-authorship network connecting the top 25 collaborators of Kelson Aires. A scholar is included among the top collaborators of Kelson Aires 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 Kelson Aires. Kelson Aires 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.
Veras, Rodrigo, et al.. (2025). Identification of Parkinson’s Disease Through Facial Image Classification: A Systematic Review. IEEE Access. 13. 46720–46731.
2.
Veras, Rodrigo, et al.. (2025). Enhancing Diabetic Foot Ulcer Classification Through Fine-Tuned Multilevel CNN. IEEE Access. 13. 113702–113717.
3.
Aires, Kelson, et al.. (2024). Aspects of Lighting and Color in Classifying Malignant Skin Cancer with Deep Learning. Applied Sciences. 14(8). 3297–3297. 1 indexed citations
4.
Aires, Kelson, et al.. (2023). Segmentação Semântica do Câncer de Pele Utilizando Aprendizado Profundo. 304–315. 1 indexed citations
5.
Veras, Rodrigo, et al.. (2022). Semi-automatic segmentation of skin lesions based on superpixels and hybrid texture information. Medical Image Analysis. 77. 102363–102363. 17 indexed citations
6.
Silva, Romuere, et al.. (2021). Facial Expression Recognition to Aid Visually Impaired People. 48–53. 1 indexed citations
7.
Aires, Kelson, et al.. (2021). Classification of pollen grain images with MobileNet. 1–10. 2 indexed citations
8.
9.
Aires, Kelson, et al.. (2021). Melanoma Classification Approach with Deep Learning-Based Feature Extraction Models. 1–8. 2 indexed citations
10.
Vogado, Luis H. S., Rodrigo Veras, & Kelson Aires. (2021). “LeukNet” - Um Modelo de Rede Neural Convolucional para o Diagnóstico de Leucemia. 85–90.
11.
Veras, Rodrigo, et al.. (2020). A Skin Lesion Semi-supervised Segmentation Method. 33–38. 7 indexed citations
12.
Veras, Rodrigo, et al.. (2020). Group Labeling Methodology Using Distance-based Data Grouping Algorithms. Revista de Informática Teórica e Aplicada. 27(1). 48–61.
13.
Vogado, Luis H. S., Rodrigo Veras, Flávio H. D. Araújo, Romuere Silva, & Kelson Aires. (2019). Rede Neural Convolucional para o Diagnóstico de Leucemia. 46–57. 2 indexed citations
14.
Vogado, Luis H. S., Rodrigo Veras, Flávio H. D. Araújo, Romuere Silva, & Kelson Aires. (2018). Leukemia diagnosis in blood slides using transfer learning in CNNs and SVM for classification. Engineering Applications of Artificial Intelligence. 72. 415–422. 215 indexed citations
15.
Veras, Rodrigo, et al.. (2018). Combining ABCD Rule, Texture Features and Transfer Learning in Automatic Diagnosis of Melanoma. 5. 508–513. 9 indexed citations
16.
Veras, Rodrigo, et al.. (2018). ABCD rule and pre-trained CNNs for melanoma diagnosis. Multimedia Tools and Applications. 78(6). 6869–6888. 29 indexed citations
17.
Silva, Romuere, Kelson Aires, & Rodrigo Veras. (2017). Detection of helmets on motorcyclists. Multimedia Tools and Applications. 77(5). 5659–5683. 28 indexed citations
18.
19.
Silva, Romuere, Kelson Aires, & Rodrigo Veras. (2014). Helmet Detection on Motorcyclists Using Image Descriptors and Classifiers. 141–148. 79 indexed citations
20.
Veras, Rodrigo, F.N.S. Medeiros, Romuere Silva, & Kelson Aires. (2014). Automatic Detection of Fovea in Retinal Images Using Fusion of Color Bands. 2. 119–124. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Rodrigo Veras Breakdown of academic impact, for papers by M. Gorgoń Breakdown of academic impact, for papers by Van-Dung Hoang Breakdown of academic impact, for papers by Yoshito Mekada Breakdown of academic impact, for papers by Kahlil Muchtar Breakdown of academic impact, for papers by Chandran Venkatesan Breakdown of academic impact, for papers by Ganbayar Batchuluun Breakdown of academic impact, for papers by Md. Nahiduzzaman Breakdown of academic impact, for papers by Bayram Akdemïr
Rankless by CCL
2026