Brazilian Journal of Biometrics

Brazilian Region of the International Biometric Society (RBras)

Journal websitePeer review: Double-blind review
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About the journal

Brazilian Journal of Biometrics is an open-access journal published by Brazilian Region of the International Biometric Society (RBras) in Brazil, publishing in english. It is listed in DOAJ according to the sources read. Declared review time at DOAJ: 30 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
Brazilian Region of the International Biometric Society (RBras)
ISSN
2764-5290
Country
Brazil
Languages
english
Access
Open access
Articles in DOAJ
0
Declared review time
30 weeks
Declared peer-review model
double_blind

Index listings

  • DOAJ · 2022-11-18
Indexing
DOAJ
APC
—
Declared review time (DOAJ)
30 weeks — journal-declared only (not measured)
Activity (OpenAlex)
Active — latest works 2026
PublishLens list status
Shown after sign-in
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Methodology signals (dated facts from their sources)

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Journal profile

Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.

Articles in DOAJ

0

Average review time (journal-declared via DOAJ)

30weeks

Works in OpenAlex

212

Last recorded publication year

2025

Reported by OpenAlex in 1 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core

h-index

6

i10-index

2

From OpenAlex open data (CC0).

Editorial & policy9
Last DOAJ review date
2022-11-18
Added to DOAJ
2022-11-18
Declared plagiarism screening
Declared
Other fees beyond APC
No
Editorial board
Official page ↗
Open references deposited at Crossref
0%
ORCID iDs in current deposits
83%
Enrolled in Crossref Similarity Check
✓
Deposits licence metadata at Crossref
✓
Peer-review policy
View policy
Identity & continuity2
Continues
1983-0823
Source type
journal
Classification4

Subjects (DOAJ)

Social Sciences: StatisticsScience: Biology (General)

LCC codes

HA1-4737QH301-705.5

Subject areas

  • Statistical Distribution Estimation and Applications
  • Agricultural and Food Sciences
  • Agricultural and Food Sciences
  • Agriculture, Soil, Plant Science
  • Statistical Methods and Bayesian Inference
  • Probability and Statistical Research
  • Optimal Experimental Design Methods
  • Statistical Methods and Applications
Show all subjects (75)
  • Advanced Statistical Methods and Models
  • Advanced Statistical Methods and Models
  • Advanced Statistical Methods and Models
  • Statistical Distribution Estimation and Applications
  • Statistical Methods and Inference
  • Statistical Distribution Estimation and Applications
  • Statistical Methods and Bayesian Inference
  • Forest ecology and management
  • Survey Sampling and Estimation Techniques
  • Forest ecology and management
  • Forest ecology and management
  • Genetics and Plant Breeding
  • Statistical Methods in Epidemiology
  • Genetics and Plant Breeding
  • Statistical Methods and Bayesian Inference
  • Bayesian Methods and Mixture Models
  • Genetic and phenotypic traits in livestock
  • Bayesian Methods and Mixture Models
  • Census and Population Estimation
  • Genetics and Plant Breeding
  • Spatial and Panel Data Analysis
  • Survey Sampling and Estimation Techniques
  • Statistical Methods and Inference
  • Statistical Methods and Inference
  • Remote Sensing and LiDAR Applications
  • Reliability and Maintenance Optimization
  • Data-Driven Disease Surveillance
  • Genetic and phenotypic traits in livestock
  • Genetic and phenotypic traits in livestock
  • Survey Sampling and Estimation Techniques
  • Bayesian Methods and Mixture Models
  • Probability and Risk Models
  • Optimal Experimental Design Methods
  • Sensory Analysis and Statistical Methods
  • COVID-19 epidemiological studies
  • Optimal Experimental Design Methods
  • Sensory Analysis and Statistical Methods
  • Leaf Properties and Growth Measurement
  • Leaf Properties and Growth Measurement
  • Statistical Methods in Clinical Trials
  • Artificial Intelligence in Healthcare
  • Soil Management and Crop Yield
  • Banana Cultivation and Research
  • Psychometric Methodologies and Testing
  • Banana Cultivation and Research
  • Soil Management and Crop Yield
  • COVID-19 epidemiological studies
  • COVID-19 epidemiological studies
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Sugarcane Cultivation and Processing
  • Soil Geostatistics and Mapping
  • Soil Geostatistics and Mapping
  • Sugarcane Cultivation and Processing
  • Growth and nutrition in plants
  • Census and Population Estimation
  • Census and Population Estimation
  • Growth and nutrition in plants
  • Spatial and Panel Data Analysis
  • Multi-Criteria Decision Making
  • Geography and Environmental Studies
  • Statistical Methods and Applications
  • Statistical Methods and Applications
  • Geography and Environmental Studies
  • Spatial and Panel Data Analysis
  • Multi-Criteria Decision Making
  • Animal Behavior and Welfare Studies
  • Animal Behavior and Welfare Studies

Keywords (DOAJ)

  • biology
  • statistics
  • data science
  • applied biological sciences
  • mathematical analysis
  • biometrics

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The journal's record in other sources:Web of Science MJLDOAJ

Everything shown here is produced automatically from named sources (DOAJ, OpenAlex, Crossref, PubMed, the Norwegian register) as of its capture date, with no human editing. Facts appear as recorded at the source; derived scores (PCI, PTD, PublishLens score) follow a published methodology. Not a judgement on the journal, not an official accreditation, not advice.

Wrong items are corrected automatically by re-reading the source (24 h for daily sources, 7 days for weekly ones) with a dated change log, and each item links to its source record. PublishLens-derived assessments are contested through the appeals mechanism (15 working days). Appeals · Indicator guide

Norwegian register data: Kanalregisteret (HK-dir, Norway) — CC BY 4.0 / NLOD — adapted: level extracted per year · OASPA member list — CC BY

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