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Brazilian Archives of Biology and Technology : Impact Factor & More

eISSN: 1678-4324pISSN: 1516-8913
JournalOpen Access

Key Metrics

CiteScore
1.3
Impact Factor
< 5
SJR
Q2Multidisciplinary
SNIP
0.42
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Brazilian Archives of Biology and Technology Journal Specifications

Overview
Publisher INST TECNOLOGIA PARANA
Language English
Frequency Bi-monthly
Publication Time15
Editorial Review ProcessPeer review
General Details
LanguageEnglish
FrequencyBi-monthly
Publication Start Year1946
Website URLVisit website
Publication Details
PlagiarismVisit website
Publication Time 15
Editorial Review Detail
Editorial TeamVisit website
Review ProcessPeer review
Review UrlVisit website
Information for authors
Author instructionsVisit website
Copyright DetailsVisit website
License typeCC BY-NC
OA statementVisit website
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Recently Published Papers in Brazilian Archives of Biology and Technology

Advancements in Microlenses and their Diverse Applications in Optical Sensors
  • 1 Jan 2025
  • Brazilian Archives of Biology and Technology
Reticulon 4 in Breast Cancer: A Comprehensive Analysis of its Biomarker Potential for Prognosis, Immunology, and Drug Sensitivity
  • 1 Jan 2025
  • Brazilian Archives of Biology and Technology
Decolourization Kinetics of Congo Red Using Immobilized and Free Cells of Rhodococcus biphenylivorans
  • 1 Jan 2025
  • Brazilian Archives of Biology and Technology
DeepCNNMed: Enhancing Medicinal Plant Identification Through Deep Convolutional and Hybrid Neural Networks
  • 1 Jan 2025
  • Brazilian Archives of Biology and Technology
Advancements in Microlenses and their Diverse Applications in Optical Sensors
  • 1 Jan 2025
  • Brazilian Archives of Biology and Technology
Reticulon 4 in Breast Cancer: A Comprehensive Analysis of its Biomarker Potential for Prognosis, Immunology, and Drug Sensitivity
  • 1 Jan 2025
  • Brazilian Archives of Biology and Technology
Decolourization Kinetics of Congo Red Using Immobilized and Free Cells of Rhodococcus biphenylivorans
  • 1 Jan 2025
  • Brazilian Archives of Biology and Technology
DeepCNNMed: Enhancing Medicinal Plant Identification Through Deep Convolutional and Hybrid Neural Networks
  • 1 Jan 2025
  • Brazilian Archives of Biology and Technology

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