Flávio Luiz Seixas

595 total citations
36 papers, 331 citations indexed

About

Flávio Luiz Seixas is a scholar working on Computer Vision and Pattern Recognition, Health Information Management and Artificial Intelligence. According to data from OpenAlex, Flávio Luiz Seixas has authored 36 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Health Information Management and 6 papers in Artificial Intelligence. Recurrent topics in Flávio Luiz Seixas's work include Medical Image Segmentation Techniques (7 papers), Artificial Intelligence in Healthcare (6 papers) and Health Education and Validation (4 papers). Flávio Luiz Seixas is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Artificial Intelligence in Healthcare (6 papers) and Health Education and Validation (4 papers). Flávio Luiz Seixas collaborates with scholars based in Brazil, Netherlands and United Kingdom. Flávio Luiz Seixas's co-authors include Aura Conci, Débora Christina Muchaluat Saade, Jerson Laks, Bianca Zadrozny, Cláudio Tinoco Mesquita, Débora C. Muchaluat-Saade, Aline Paes, Célio Albuquerque, Evandro Tinoco Mesquita and Ronaldo Altenburg Gismondi and has published in prestigious journals such as Applied Soft Computing, Computers in Biology and Medicine and Frontiers in Cardiovascular Medicine.

In The Last Decade

Flávio Luiz Seixas

26 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Flávio Luiz Seixas Brazil 9 123 63 48 38 33 36 331
Susel Góngora Alonso Spain 11 124 1.0× 72 1.1× 52 1.1× 53 1.4× 65 2.0× 18 564
Xueping Peng China 13 229 1.9× 79 1.3× 34 0.7× 28 0.7× 11 0.3× 58 491
Philippe Lenca France 12 237 1.9× 161 2.6× 30 0.6× 25 0.7× 30 0.9× 40 685
Vladimir Kurbalija Serbia 11 183 1.5× 23 0.4× 27 0.6× 29 0.8× 13 0.4× 35 408
Randi Karlsen Norway 9 118 1.0× 96 1.5× 31 0.6× 8 0.2× 61 1.8× 47 473
Suptendra Nath Sarbadhikari India 13 40 0.3× 34 0.5× 26 0.5× 16 0.4× 24 0.7× 26 414
Mário W. L. Moreira Brazil 13 94 0.8× 49 0.8× 85 1.8× 7 0.2× 43 1.3× 29 425
Samah Fodeh United States 14 225 1.8× 75 1.2× 43 0.9× 26 0.7× 6 0.2× 43 539
Ishaya Gambo Nigeria 8 48 0.4× 78 1.2× 50 1.0× 8 0.2× 34 1.0× 46 303

Countries citing papers authored by Flávio Luiz Seixas

Since Specialization
Citations

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

Fields of papers citing papers by Flávio Luiz Seixas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Flávio Luiz Seixas. 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 Flávio Luiz Seixas. The network helps show where Flávio Luiz Seixas may publish in the future.

Co-authorship network of co-authors of Flávio Luiz Seixas

This figure shows the co-authorship network connecting the top 25 collaborators of Flávio Luiz Seixas. A scholar is included among the top collaborators of Flávio Luiz Seixas 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 Flávio Luiz Seixas. Flávio Luiz Seixas 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.
Seixas, Flávio Luiz, et al.. (2025). Enhancing dementia prediction models: Leveraging temporal patterns and class-balancing methods. Applied Soft Computing. 171. 112754–112754.
2.
Moraes, Érica Brandão de, et al.. (2024). STRATEGIC PLANNING IN STRICTO SENSU POSTGRADUATE COURSES IN NURSING: AN EXPERIENCE REPORT. Texto & Contexto - Enfermagem. 33.
3.
Vidal, Marcos, Carla Sousa, Leandro A. F. Fernandes, et al.. (2024). A Computer Vision Model to Support Individuals with Disabilities Within University Campuses. Brunel University Research Archive (BURA) (Brunel University London). 1–7.
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Silva, Liliane Faria da, et al.. (2022). QUIMIO EM CASA: APPLICATION FOR FAMILY MEMBERS OF CHILDREN AND ADOLESCENTS USING ORAL ANTINEOPLASTIC AGENTS. Texto & Contexto - Enfermagem. 31.
7.
Silva, Liliane Faria da, et al.. (2022). QUIMIO EM CASA: APLICATIVO PARA FAMILIARES DE CRIANÇAS E ADOLESCENTES EM USO DE ANTINEOPLÁSICOS ORAIS. Texto & Contexto - Enfermagem. 31. 1 indexed citations
8.
Silva, Liliane Faria da, et al.. (2021). Orientações para o cuidado domiciliar de crianças e adolescentes em quimioterapia antineoplásica oral. Research Society and Development. 10(4). e40310414530–e40310414530.
9.
Mesquita, Evandro Tinoco, et al.. (2021). Machine Learning Algorithms to Distinguish Myocardial Perfusion SPECT Polar Maps. Frontiers in Cardiovascular Medicine. 8. 741667–741667. 8 indexed citations
10.
Mesquita, Evandro Tinoco, et al.. (2021). Machine Learning Algorithms to Detect Sex in Myocardial Perfusion Imaging. Frontiers in Cardiovascular Medicine. 8. 741679–741679. 2 indexed citations
11.
Seixas, Flávio Luiz, et al.. (2020). A dynamic decision model for diagnosis of dementia, Alzheimer's disease and Mild Cognitive Impairment. Computers in Biology and Medicine. 126. 104010–104010. 11 indexed citations
12.
Seixas, Flávio Luiz, et al.. (2020). A Computational Method for Breast Abnormality Detection Using Thermographs. 469–474. 6 indexed citations
13.
González, José Carlos, Nazareth N. Rocha, Flávio Luiz Seixas, et al.. (2020). A Parallel Method for Anatomical Structure Segmentation based on 3D Seeded Region Growing. 3. 1–6. 1 indexed citations
14.
Seixas, Flávio Luiz, et al.. (2019). Efeitos Sensoriais em Jogos Cognitivos para Idosos: Jogo do Stroop. 187–198. 2 indexed citations
15.
Salgado, Luciana Cardoso de Castro, et al.. (2019). Co-design de um Agente Inteligente Conversacional para melhora da saúde de idosos. 27–28. 1 indexed citations
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Seixas, Flávio Luiz, et al.. (2017). Descrição de um sistema de suporte ao diagnóstico de demência e Transtornos Mentais Relacionados. Journal of Health Informatics. 9(3). 1 indexed citations
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19.
Seixas, Flávio Luiz, Bianca Zadrozny, Jerson Laks, Aura Conci, & Débora Christina Muchaluat Saade. (2014). A Bayesian network decision model for supporting the diagnosis of dementia, Alzheimer׳s disease and mild cognitive impairment. Computers in Biology and Medicine. 51. 140–158. 145 indexed citations
20.
Seixas, Flávio Luiz, et al.. (2007). Automated Segmentation of the Corpus Callosum Midsagittal Surface Area. 287–293. 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.

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