IEEE Transactions on Biometrics, Behavior, and Identity Science
Q1 Journal
Journal
Country
United States
Northern America
Subject Area and Category
Computer Science
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Artificial Intelligence
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Computer Science Applications
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Computer Vision and Pattern Recognition
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Citation Score 2025
1.064
Q1
Citation Score
H-Index
38
Citations / Doc (2yr)
4.93
Total Docs. (latest)
73
Total Citations (3yr)
845
Publication type
Journals
ISSN
26376407
Coverage
2019-2026
Journal Rank
#4,430
Subject Categories
Artificial Intelligence
Q1
Computer Science Applications
Q1
Computer Vision and Pattern Recognition
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Instrumentation
Q1
Subject Areas
Aims & Scope
The IEEE Transactions on Biometrics, Behavior, and Identity Science publishes original articles on all aspects of biometrics (i.e. recognizing people through their physiological or behavioral traits such as face, fingerprint, iris, and signature), including theory, applications, systems, and surveys.
Biometrics are personal identity characteristics where people are recognized by who they are rather than by what they own; behavior is the typical movement of a person that is unique and identifiable; identity science underlies the application of biometrics.
Papers focusing on ramifications of these areas will also be welcomed, such as security of such systems, standards for their deployment, and new architectures and systems are also welcomed.
Broad topics of interest include but are not limited to:
• Biometric modalities and their fusion
• Novel pattern classification and machine learning, including deep learning, algorithms for biometrics and identity science
• Behavior analysis related to biometrics and identity science
• Security of biometrics and identity systems
• Applications including forensics, healthcare, and law enforcement
Abstracting & Indexing
Scopus
Google Scholar
Detailed Metrics
| Total Docs. (latest) | 73 |
| Total Docs. (3 years) | 149 |
| Total Refs. | 4,410 |
| Total Citations (3 years) | 845 |
| Citable Docs. (3 years) | 143 |
| Citations / Doc. (2 years) | 4.93 |
| Ref. / Doc. | 60.41 |
| % Female | 30.0% |
Metrics Visualization
Latest year data vs 3-year cumulative figures
Top 10 Most Cited Articles
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