About the journal
Computers in Biology and Medicine is a journal published by Elsevier BV in United Kingdom. It is listed in MEDLINE and PUBMED according to the sources read. Declared publication charge: 2,610 USD. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- Elsevier BV
- ISSN
- 1879-0534 · 0010-4825
- Country
- United Kingdom
- Access
- Not open access / not declared
- Declared publication charge
- 2,610 USD
- Declared peer-review model
- peer_review
Index listings
- MEDLINE · 1970-01-01
- PUBMED · 2013-08-01
- Indexing
- MEDLINE · PUBMED
- APC
- 2,610 USD
- Declared review time (DOAJ)
- —
- Actual review time (measured)
- 96 days received→accepted — computed from PubMed (n=72)
- 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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Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.
Works in OpenAlex
12035
Last recorded publication year
2026
h-index
184
i10-index
6187
From OpenAlex open data (CC0).
Editorial & policy4
- Observed digital preservation (Keepers registry)— snapshot 2026-10-05
- CLOCKSSPortico
- Norwegian register (HK-dir)— 2026
- Level 1 — approved scholarly channel
- Open references deposited at Crossref
- 97%
- ORCID iDs in current deposits
- 87%
- Deposits licence metadata at Crossref
- ✓
Identity & continuity2
- Source type
- journal
- NLM unique ID (PubMed)
- 1250250
Classification(no data)
No data available to the platform for this group
No platform data for: Classification — absence is not a judgment about the journal.
Subject areas
- AI in cancer detection
- AI in cancer detection
- EEG and Brain-Computer Interfaces
- EEG and Brain-Computer Interfaces
- Radiomics and Machine Learning in Medical Imaging
- Radiomics and Machine Learning in Medical Imaging
- Medical Image Segmentation Techniques
- Medical Image Segmentation Techniques
Show all subjects (50)
- ECG Monitoring and Analysis
- ECG Monitoring and Analysis
- Computational Drug Discovery Methods
- Computational Drug Discovery Methods
- COVID-19 diagnosis using AI
- COVID-19 diagnosis using AI
- Human auditory perception and evaluation
- Human auditory perception and evaluation
- Machine Learning in Bioinformatics
- Machine Learning in Bioinformatics
- Brain Tumor Detection and Classification
- Brain Tumor Detection and Classification
- Bioinformatics and Genomic Networks
- Diverse Scientific and Economic Studies
- Diverse Scientific and Economic Studies
- Bioinformatics and Genomic Networks
- Non-Invasive Vital Sign Monitoring
- Non-Invasive Vital Sign Monitoring
- Medical Imaging Techniques and Applications
- Medical Imaging Techniques and Applications
- Advanced Neural Network Applications
- Advanced Neural Network Applications
- Retinal Imaging and Analysis
- Retinal Imaging and Analysis
- Cardiac electrophysiology and arrhythmias
- Cardiac electrophysiology and arrhythmias
- Gene expression and cancer classification
- Gene expression and cancer classification
- Digital Imaging for Blood Diseases
- Digital Imaging for Blood Diseases
- Machine Learning in Healthcare
- Machine Learning in Healthcare
- Heart Rate Variability and Autonomic Control
- Heart Rate Variability and Autonomic Control
- Functional Brain Connectivity Studies
- Functional Brain Connectivity Studies
- Medical Imaging and Analysis
- Medical Imaging and Analysis
- Cell Image Analysis Techniques
- Cell Image Analysis Techniques
- Advanced MRI Techniques and Applications
- Advanced MRI Techniques and Applications
Community confirmations — what users saw in MJL or Scopus Sources; not platform verification and never part of any score.
The journal's record in other sources:Web of Science MJLDOAJ