Computer Methods and Programs in Biomedicine

Aims & Scope

To encourage the development of formal computing methods, and their application in biomedical research and medical practice, by illustration of fundamental principles in biomedical informatics research; to stimulate basic research into application software design; to report the state of research of biomedical information processing projects; to report new computer methodologies applied in biomedical areas; the eventual distribution of demonstrable software to avoid duplication of effort; to provide a forum for discussion and improvement of existing software; to optimize contact between national organizations and regional user groups by promoting an international exchange of information on formal methods, standards and software in biomedicine.

Computer Methods and Programs in Biomedicine covers computing methodology and software systems derived from computing science for implementation in all aspects of biomedical research and medical practice.

It is designed to serve: biochemists; biologists; geneticists; immunologists; neuroscientists; pharmacologists; toxicologists; clinicians; epidemiologists; psychiatrists; psychologists; cardiologists; chemists; (radio)physicists; computer scientists; programmers and systems analysts; biomedical, clinical, electrical and other engineers; teachers of medical informatics and users of educational software.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	4.8
2024	4.90

Journal Rank

Year	Value
2024	3947

Journal Citation Indicator

Year	Value
2024	10702

SJR (SCImago Journal Rank)

Year	Value
2024	1.130

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	150

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science
• Medline
• Embase

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Medicine, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• MCML—Monte Carlo modeling of light transport in multi-layered tissues

  Citation: 2635

  Authors: Lihong, Steven L., Liqiong

• Kubios HRV – Heart rate variability analysis software

  Citation: 2135

  Authors: Mika P., Juha-Pekka, Jukka A., Perttu O., Pasi A.

• PKSolver: An add-in program for pharmacokinetic and pharmacodynamic data analysis in Microsoft Excel

  Citation: 1751

  Authors: Yong, Meirong, Jianping, Shaofei

• PsN-Toolkit—A collection of computer intensive statistical methods for non-linear mixed effect modeling using NONMEM

  Citation: 1005

  Authors: Lars, Pontus, Niclas

• CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images

  Citation: 1004

  Authors: Asif Iqbal, Junaid Latief, Mohammad Mudasir

• Fast free-form deformation using graphics processing units

  Citation: 922

  Authors: Marc, Gerard R., Zeike A., Manja, Josephine, David J., Nick C., Sébastien

• DtiStudio: Resource program for diffusion tensor computation and fiber bundle tracking

  Citation: 844

  Authors: Hangyi, Peter C.M., Jinsuh, Godfrey D., Susumu

• Xpose—an S-PLUS based population pharmacokinetic/pharmacodynamic model building aid for NONMEM

  Citation: 839

  Authors: E.Niclas, Mats O

• Deep learning for healthcare applications based on physiological signals: A review

  Citation: 814

  Authors: Oliver, Yuki, Tan Jen, Oh Shu, U Rajendra

• Blood vessel segmentation methodologies in retinal images – A survey

  Citation: 795

  Authors: M.M., P., A., B., A.R., C.G., S.A.

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