Research on Biomedical Engineering
Published by Sociedade Brasileira de Engenharia Biomedica (Journal Finder)
ISSN : 2446-4732 eISSN : 2446-4740
Abbreviation : Res. Biomed. Eng.
Aims & Scope
Research on Biomedical Engineering (ISSN Online 2446-4740; ISSN Print 2446-4732) is open to contributions in the following topics, including but not restricted to: Biomedical instrumentation, Biomechanics, Biorobotics, Rehabilitation engineering and assistive technologies, Applied engineering in neurology and neuroscience, Biomedical signal processing, Modelling of physiological systems, Cardiovascular and respiratory systems, Muscular and nervous systems, Use of laser, ultrasound and radiation in health, Medical imaging, Education and biomedical engineering, forensic, Clinical engineering, Metrology and biomedical engineering, Health technology, Health informatics and telemedicine, Biotechnology, Artificial organs, implants and biomaterials, Proteomics, genomics and bioinformatics."
View Aims & ScopeMetrics & Ranking
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 0.285 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q3 |
h-index
| Year | Value |
|---|---|
| 2024 | 26 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 17145 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 416 |
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Engineering, designed to support cutting-edge academic discovery.
Licensing & Copyright
This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.
Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Towards an effective and efficient deep learning model for COVID-19 patterns detection in X-ray images
Citation: 190
Authors: Eduardo, Pedro, Rodrigo, Ludmila, João, Gustavo, Gladston, David
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A deep convolutional neural network for COVID-19 detection using chest X-rays
Citation: 93
Authors: Pedro R. A. S., Romis
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Breast cancer diagnosis based on mammary thermography and extreme learning machines
Citation: 85
Authors: MaÃra Araújo de, Jessiane Mônica Silva, FabrÃcio Lucimar da, Nigel Mendes de, Felipe Nunes de, Guilherme Max Silva de, Rita de Cássia Fernandes de, Washington Wagner Azevedo da, Wellington Pinheiro dos
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Blockchain technology and its applications to combat COVID-19 pandemic
Citation: 72
Authors: Abhishek, Shashi, Ashok Kumar, Mohd, Dinesh Kumar, Abid
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Early diagnosis of Parkinson’s disease using EEG, machine learning and partial directed coherence
Citation: 51
Authors: Ana Paula S., MaÃra Araújo, Maria Karoline S., Juliana Carneiro, Marcelo C. A., Wellington P.
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Fundus image quality enhancement for blood vessel detection via a neural network using CLAHE and Wiener filter
Citation: 51
Authors: Jucelino Cardoso Marciano, Gilberto Arantes, Cristiane, Júlio César, Pedro Moises, Ana Cláudia
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Applicable features of electroencephalogram for ADHD diagnosis
Citation: 46
Authors: Ali, Pari Moradi, Mahbod Fadaei, Mohammad Reza
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Control of a robotic knee exoskeleton for assistance and rehabilitation based on motion intention from sEMG
Citation: 40
Authors: Ana Cecilia, Denis, Thomaz, John Jairo Villarejo, Alberto López, Ricardo, Anselmo, Teodiano Freire
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Detection of major depressive disorder using vocal acoustic analysis and machine learning—an exploratory study
Citation: 36
Authors: Caroline Wanderley, Juliana Carneiro, Jessiane Mônica Silva, Wellington Pinheiro
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A wavelet-based method for power-line interference removal in ECG signals
Citation: 32
Authors: Bruno Rodrigues de, Marco Aparecido Queiroz, Caio Cesar Enside de, Jozue