Impact Factor
3.31
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
3.01
336 total citations
h5-index
23
h5 depth signal
Cited share
75.0%
87 of 116
Total citations
336
Citation footprint
Metric signal
2.75
External metric anchor
Self-citation
4.5%
15 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
Brazil
144
United States
85
Germany
57
United Kingdom
39
Netherlands
30
Citing Fields of Research
Dentistry & Oral Medicine
603
AI & Machine Learning
16
Bacteriology
12
Genetics & Genomics
11
Health Education & Remote Healthcare
9
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
4,224
Articles tracked across the journal lifetime
Indexed publication set
116
87 cited publications
Last 12 months
60
5.0 publications/month
Open access share
35.0%
21 OA publications in the last year
Leading citing country
Brazil
144 citing publications
Leading citing field
Dentistry & Oral Medicine
603 citing publications
Latest tracked publication
10 October 2026
10 recent records available
Coverage & Indexing History
v1n1, 1967-
v1n1, 1967-
v1n1, 1967-v34n2, Mar. 2000
Active Coverage
Research Focus & Classification
Indexed Subjects
Dentistry & Oral Medicine
Issuing & Sponsoring Bodies
Contributor
European Organization for Caries Research
Broad Categories
Dentistry
Dentistry & Oral Medicine
MeSH Descriptors
Cariostatic Agents
Dental Caries.
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.1159/cre/abuag004
Open DOI
Machine Learning for Predicting Dental Caries Presence and Severity: An Age-Cohort Perspective from a Nationally Representative Survey in Brazil
Introduction: Although preventable, dental caries remains a global public health challenge due to its multifactorial nature and the deep influence of socio-structural determinants. This study evaluates the performance of Artificial Intel...
02
DOI 10.1159/cre/abuag016
Open DOI
AI-Based Clinical Decision Support Systems for Secondary Caries Detection and Staging on Bitewings: A Multi-Algorithm Comparison
Introduction: Radiographic detection of caries lesions adjacent to restorations is challenging because of the limitations of two-dimensional imaging and difficulties distinguishing true lesions from restorative or anatomical radiolucenci...
03
DOI 10.1159/cre/abuag017
Open DOI
Diagnostic performance of ICDAS for root caries: comparison with histological reference standards
Introduction: Evidence regarding the performance of visual test for root caries severity assessment is still limited. This in vitro diagnostic performance study evaluated visual test with ICDAS (International Caries Detection and Assessm...
04
DOI 10.1159/cre/abuag014
Open DOI
Caries Experience in Children and Adolescents with Thalassemia: A Systematic Review and Meta-analysis
Introduction Thalassemia creates a distinct and compounding oral risk environment, characterized by transfusion-related salivary gland dysfunction, thalassemia-driven craniofacial remodeling, polypharmacy, and constrained access to preve...
05
DOI 10.1159/cre/abuag015
Open DOI
Barriers and enablers influencing the implementation of minimally invasive caries management: a systematic review and behavioural analysis
Introduction: Minimally Invasive Dentistry (MID) aims to preserve tooth structure and maintain pulp vitality. Despite MID being incorporated into clinical guidelines, an evidence–practice gap persists. This systematic review aimed to syn...
06
DOI 10.1159/cre/abuag013
Open DOI
Fluoride content and its potential availability in dentifrice tablets available on the Dutch market - a laboratory assessment
Dentifrice tablets are increasingly presented as a more sustainable alternative to regular toothpastes, yet evidence regarding their efficacy is still limited. This study aimed to evaluate the quality of dentifrice tablets available on t...
07
DOI 10.1159/cre/abuag012
Open DOI
A Critical Review of the Validity and Reliability of Caries Detection Methods for Non-Cavitated Lesions
Background: Dental caries is the most prevalent chronic disease that affects people of all ages. Early detection of dental caries is crucial to prevent irreversible dental tissue damage, infection, and tooth loss, yet traditional detecti...
08
DOI 10.1159/cre/abuag011
Open DOI
Does detection of active initial caries lesions in primary teeth improve clinical outcomes? CARDEC-02 randomized controlled trial of diagnostic-treatment strategies guided by different caries thresholds
Introduction: Early detection of caries lesions has been encouraged to prevent their progression. However, because the progression rate is relatively low, detecting initial lesions in the caries diagnosis strategy may be considered overd...
09
DOI 10.1159/cre/abuag007
Open DOI
The Influence of Parents’ Multiple Perceived Beliefs on Dental Service Utilization among Chinese Children
Introduction: Caries-preventive dental services are essential during the mixed dentition stage, yet utilization disparities persist in China despite universal coverage. This study examined the independent influence of parental health bel...
10
DOI 10.1159/cre/abuag009
Open DOI
Human-AI Collaboration in Proximal Early Caries Lesion Detection: Potential Benefits for Novices and Potential Risks for Experts
Introduction: Early-stage proximal caries detection on bitewing radiographs is challenging and hampered by inter-observer variability. This study aimed to assess how artificial intelligence (AI) support influences radiographic detection ...
Bibliographical & Catalog Notes
Supplements accompany some vols.
Also available online.
Summaries in French and German.
Journal of the European Organization for Caries Research.
Vol. 26, no. 1 (1992)19921001 Notice published Printed on acid-free paper