The objective of IJDMB is to facilitate collaboration between data mining researchers and bioinformaticians by presenting cutting edge research topics and methodologies in the area of data mining for bioinformatics. This perspective acknowledges the inter-disciplinary nature of research in data mining and bioinformatics and provides a unified forum for researchers/practitioners/students/policy makers to share the latest research and developments in this fast growing multi-disciplinary research area.
⚡ Speed vs Prestige
How does this journal balance review speed with impact level?
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Biochemistry, Genetics and Molecular Biology (miscellaneous)Q4
Information SystemsQ4
Library and Information SciencesQ4
Subject Classification
Web of Science Categories
Mathematical & Computational Biology
Scopus Categories
Library and Information SciencesInformation SystemsBiochemistry, Genetics and Molecular Biology (miscellaneous)
Research Topics (OpenAlex)
Gene expression and cancer classificationBioinformatics and Genomic NetworksMachine Learning in BioinformaticsGenomics and Phylogenetic StudiesBiomedical Text Mining and OntologiesComputational Drug Discovery MethodsProtein Structure and DynamicsGene Regulatory Network AnalysisRNA and protein synthesis mechanismsData Mining Algorithms and Applications