Impact Factor
4.25
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
8.48
1,074 total citations
h5-index
43
h5 depth signal
Cited share
84.7%
111 of 131
Total citations
1,074
Citation footprint
Metric signal
7.08
External metric anchor
Self-citation
1.8%
19 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
United Kingdom
203
United States
168
Australia
69
China
59
Canada
35
Citing Fields of Research
Patient Care
246
Health Education & Remote Healthcare
223
AI & Machine Learning
153
Medical Ethics
116
Healthcare Policy
44
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
604
Articles tracked across the journal lifetime
Indexed publication set
131
111 cited publications
Last 12 months
119
9.9 publications/month
Open access share
100.0%
119 OA publications in the last year
Leading citing country
United Kingdom
203 citing publications
Leading citing field
Patient Care
246 citing publications
Latest tracked publication
13 October 2026
10 recent records available
Coverage & Indexing History
v26n1, Apr. 2019-
v26n1, Apr. 2019-
Active Coverage
Research Focus & Classification
Indexed Subjects
Patient Care
AI & Machine Learning
Health Education & Remote Healthcare
Medical Ethics
Issuing & Sponsoring Bodies
issuing body
BCS, The Chartered Institute for IT
Broad Categories
Medical Informatics
Public Health
Patient Care
Medical Ethics
Health Education & Remote Healthcare
Respiratory Support
Virology
MeSH Descriptors
Medical Informatics
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.1136/bmjhci-2026-102293
Open DOI
Grounded ophthalmic AI beyond the electronic health record trap: a critical narrative review
02
03
04
DOI 10.1136/bmjhci-2026-102056
Open DOI
How much do language and context affect the accuracy of AI health advice?
Objectives Large language models (LLMs) are increasingly used for health advice, but evidence on how performance varies across languages, topics and sources remains limited. We assess linguistic and contextual variation in Artificial Int...
05
06
DOI 10.1136/bmjhci-2026-102284
Open DOI
Clinical heterogeneity in performance of a commercial prediction model for clinical deterioration
07
DOI 10.1136/bmjhci-2026-102413
Open DOI
Validation of ICD-10-CM algorithms for repeated eGFR-defined chronic kidney disease in the TriNetX network
08
DOI 10.1136/bmjhci-2026-102380
Open DOI
Sex and gender bias in large language models: an old problem at a new scale
Patients are increasingly turning to large language models for health information, which makes the consistency of these systems’ outputs across patient groups a public health concern. Demographic bias is harder to see than fabrication be...
09
DOI 10.1136/bmjhci-2026-102079
Open DOI
Did you miss me? Making the most of digital phenotyping data by imputing missingness with point process models: observational study
Objectives: Smartphone-based digital phenotyping can provide low-burden behavioural measures for mental disorder monitoring. However, progress in making inferences from these data is challenged by the common occurrence of missing data. W...
10
DOI 10.1136/bmjhci-2026-102227
Open DOI
Applications of the Early Warning Score as an outcome measure: a systematic review of methodologies
Objectives: To evaluate how Early Warning Scores (EWS) are used and analysed as research outcome measures in interventional and comparative studies and to assess the consistency and methodological rigour of these approaches. Methods: We ...
Bibliographical & Catalog Notes
Articles published as they become available and compiled into issues.
Official publication of BCS, The Chartered Institute for IT.