Journal of Biomedical Informatics

Aims & Scope

The Journal of Biomedical Informatics reflects a commitment to high-quality original research papers, reviews, and commentaries in the area of biomedical informatics methodology.

Although we publish articles motivated by applications in the biomedical sciences (for example, clinical medicine, health care, population health, and translational bioinformatics), the journal emphasizes reports of new methodologies and techniques that have general applicability and that form the basis for the evolving science of biomedical informatics.

Articles on medical devices; evaluations of implemented systems (including clinical trials of information technologies); or papers that provide insight into a biological process, a specific disease, or treatment options would generally be more suitable for publication in other venues.

Papers on applications of signal processing and image analysis are often more suitable for biomedical engineering journals or other informatics journals, although we do publish papers that emphasize the information management and knowledge representation/modeling issues that arise in the storage and use of biological signals and images.

System descriptions are welcome if they illustrate and substantiate the underlying methodology that is the principal focus of the report and an effort is made to address the generalizability and/or range of application of that methodology.

Note also that, given the international nature of JBI, papers that deal with specific languages other than English, or with country-specific health systems or approaches, are acceptable for JBI only if they offer generalizable lessons that are relevant to the broad JBI readership, regardless of their country, language, culture, or health system.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	4.5
2024	4.00

Journal Rank

Year	Value
2024	3264

Journal Citation Indicator

Year	Value
2024	4025

SJR (SCImago Journal Rank)

Year	Value
2024	1.257

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	137

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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

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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.

• Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support

  Citation: 41137

  Authors: Paul A., Robert, Robert, Jonathon, Nathaniel, Jose G.

• The REDCap consortium: Building an international community of software platform partners

  Citation: 17710

  Authors: Paul A., Robert, Brenda L., Veida, Michelle, Lindsay, Laura, Giovanni, Francesco, Jacqueline, Stephany N.

• The Technology Acceptance Model: Its past and its future in health care

  Citation: 1807

  Authors: Richard J., Ben-Tzion

• Logistic regression and artificial neural network classification models: a methodology review

  Citation: 1686

  Authors: Stephan, Lucila

• miRWalk – Database: Prediction of possible miRNA binding sites by “walking” the genes of three genomes

  Citation: 1426

  Authors: Harsh, Carsten, Priyanka, Norbert

• Relief-based feature selection: Introduction and review

  Citation: 1015

  Authors: Ryan J., Melissa, William, Randal S., Jason H.

• A systematic review of gamification in e-Health

  Citation: 794

  Authors: Lamyae, Ali, José Luis

• Healthcare in the pocket: Mapping the space of mobile-phone health interventions

  Citation: 777

  Authors: Predrag, Wanda

• Mobile-health: A review of current state in 2015

  Citation: 748

  Authors: Bruno M.C., Joel J.P.C., Isabel, Miguel, Kashif

• Sample size estimation in diagnostic test studies of biomedical informatics

  Citation: 745

  Authors: Karimollah

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