Interdisciplinary Sciences: Computational Life Sciences is devoted to report significant research advances across the broad field of computational life sciences, integrating cutting-edge AI for biomedical data analysis. Led by an esteemed editorial team of globally recognized scientists specializing in diversified interdisciplinary areas of computational life science. Offers an open access option for authors, enhancing research visibility and impact across disciplines. Emphasizes AI's transformative role in analyzing complex biomedical data, fueling breakthroughs in life sciences. Facilitates interdisciplinary dialogue, bridging computational methods with biological insights in research.
⚡ Speed vs Prestige
How does this journal balance review speed with impact level?
Springer Science and Business Media Deutschland GmbH
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Does the journal have a website?
✓ Linked
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Is the ISSN verified?
1913-2751 / 1867-1462
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Indexed in a trusted database?
WoS, Scopus
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Peer review process documented?
N/A
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Follows ethical publishing standards (COPE)?
N/A
❌
APC fees clearly disclosed?
N/A
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Not on predatory/blacklists?
✓ Clean
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Long-term digital preservation?
N/A
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Plagiarism detection in place?
N/A
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Listed in DOAJ (verified OA)?
N/A
✅
Primary language documented?
English
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)Q2
Computer Science ApplicationsQ2
Health InformaticsQ3
Subject Classification
Web of Science Categories
Mathematical & Computational Biology
Scopus Categories
Computer Science ApplicationsBiochemistry, Genetics and Molecular Biology (miscellaneous)Health Informatics
Research Topics (OpenAlex)
Computational Drug Discovery MethodsMachine Learning in BioinformaticsBioinformatics and Genomic NetworksRNA and protein synthesis mechanismsProtein Structure and DynamicsGenomics and Phylogenetic StudiesGene expression and cancer classificationCancer-related molecular mechanisms researchvaccines and immunoinformatics approachesSingle-cell and spatial transcriptomics