Biometrics
Overview
Biometrics is a renowned peer-reviewed journal that focuses on the interdisciplinary field of biometric recognition systems. It publishes cutting-edge research articles, reviews, and case studies on various aspects of biometrics, including fingerprint, face, iris, voice, and behavioral recognition. The journal serves as a valuable resource for researchers, practitioners, and policymakers interested in advancing the understanding and application of biometric technologies for identity verification and authentication purposes.
Details
Details
Abbr.
Biometrics
Publisher
Oxford University Press
Start
1945
End
Continuing
Frequency
Quarterly
p-ISSN
0006-341X
e-ISSN
1541-0420
Country
United Kingdom
Language
English
Specialty
Public Health
Metrics
Metrics
h-index / Ranks: 1434
149
SJR / Ranks: 2002
1480
CiteScore / Ranks: 8368
3.10
JIF / Ranks: 5372
1.9
Recent Articles
1.
Cao T, Reeder H, Foulkes A
Biometrics
. 2025 Mar;
81(1).
PMID: 40072491
SARS-CoV-2-infected individuals have reported a diverse collection of persistent and often debilitating symptoms commonly referred to as long COVID or post-acute sequelae of SARS-CoV-2 (PASC). Identifying PASC and its subphenotypes...
2.
Yang G, Zhang B, Zhang M
Biometrics
. 2025 Mar;
81(1).
PMID: 40072490
The segmented model has significant applications in scientific research when the change-point effect exists. In this article, we propose a comprehensive semiparametric framework in segmented models to test the existence...
3.
Van Lancker K, Betz J, Rosenblum M
Biometrics
. 2025 Mar;
81(1).
PMID: 40063405
Group sequential designs (GSDs), which involve preplanned interim analyses that allow for early stopping for efficacy or futility, are commonly used for ethical and efficiency reasons. Covariate adjustment, which involves...
4.
He J, Qiu Y, Zhou X
Biometrics
. 2025 Mar;
81(1).
PMID: 40056426
Covariance is an important measure of marginal dependence among variables. However, heterogeneity in subject covariances and regression models for high-dimensional covariance matrices is not well studied. Compared to regression analysis...
5.
Papadogeorgou G, Liu B, Li F
Biometrics
. 2025 Mar;
81(1).
PMID: 40052595
In cluster randomized experiments, individuals are often recruited after the cluster treatment assignment, and data are typically only available for the recruited sample. Post-randomization recruitment can lead to selection bias,...
6.
Chang P, Roy A
Biometrics
. 2025 Mar;
81(1).
PMID: 40037600
Heterogeneous treatment effect estimation is an important problem in precision medicine. Specific interests lie in identifying the differential effect of different treatments based on some external covariates. We propose a...
7.
Zhan T, Kang J
Biometrics
. 2025 Mar;
81(1).
PMID: 40037599
An interpretable model or method has several appealing features, such as reliability to adversarial examples, transparency of decision-making, and communication facilitator. However, interpretability is a subjective concept, and even its...
8.
Hettinger G, Lee Y, Mitra N
Biometrics
. 2025 Feb;
81(1).
PMID: 39989323
Researchers commonly use difference-in-differences (DiD) designs to evaluate public policy interventions. While methods exist for estimating effects in the context of binary interventions, policies often result in varied exposures across...
9.
Sasson A, Wang M, Ogino S, Nevo D
Biometrics
. 2025 Feb;
81(1).
PMID: 39989322
Studies have shown that the effect an exposure may have on a disease can vary for different subtypes of the same disease. However, existing approaches to estimate and compare these...
10.
Sweeting M, Slade D, Jackson D, Brock K
Biometrics
. 2025 Feb;
81(1).
PMID: 39989321
Dose-finding trials are a key component of the drug development process and rely on a statistical design to help inform dosing decisions. Triallists wishing to choose a design require knowledge...