The Journal of Chemical Information and Modeling publishes research on the application of computational and data-driven approaches to chemical and biological problems. This includes the development and application of machine learning, molecular modeling, and cheminformatics techniques for molecular property prediction, drug discovery, materials design, and understanding biological processes. The journal also features the creation and analysis of chemical databases and the study of molecular interactions and dynamics.
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.
Chemical Engineering (miscellaneous)Q1
Chemistry (miscellaneous)Q1
Computer Science ApplicationsQ1
Library and Information SciencesQ1
Subject Classification
Web of Science Categories
Chemistry, MedicinalChemistry, MultidisciplinaryComputer Science, Information SystemsComputer Science, Interdisciplinary Applications
Scopus Categories
Library and Information SciencesComputer Science ApplicationsChemical Engineering (miscellaneous)Chemistry (miscellaneous)
Research Topics (OpenAlex)
Computational Drug Discovery MethodsProtein Structure and DynamicsMachine Learning in Materials ScienceChemical Synthesis and AnalysisEnzyme Structure and FunctionAnalytical Chemistry and ChromatographyRNA and protein synthesis mechanismsReceptor Mechanisms and SignalingMetabolomics and Mass Spectrometry StudiesMachine Learning in Bioinformatics