Journal of Chemical Information and Modeling - Impact Factor

Journal of Chemical Information and Modeling - American Chemical Society | 2025 Impact Factor: 6.4 | Cite Score:8.8 | Q1

Journal of Chemical Information and Modeling - American Chemical Society - Impact Factor

Impact Factor and Journal Rank of Journal of Chemical Information and Modeling

About: Journal of Chemical Information and Modeling is a peer-reviewed journal published by the American Chemical Society (ACS). It focuses on research at the intersection of chemistry, informatics, and computational modeling. The journal provides a platform for researchers, scientists, and practitioners to publish original research articles, reviews, and perspectives that advance the understanding and application of chemical information science and computational modeling in chemistry.
Objective: The primary objective of Journal of Chemical Information and Modeling is to promote research and innovation in chemical information science and computational modeling. The journal aims to explore novel methodologies, algorithms, and applications for the representation, analysis, and prediction of chemical properties and processes. By publishing high-quality research, the journal contributes to the advancement of chemical informatics and modeling techniques and their impact on chemical research and development.
Interdisciplinary Focus: Journal of Chemical Information and Modeling adopts an interdisciplinary approach, welcoming contributions from various fields related to chemistry, informatics, and computational modeling, including but not limited to, Chemistry, Chemical Engineering, Computer Science, Data Science, Bioinformatics, Pharmaceutical Sciences, Materials Science, Environmental Science, Molecular Biology and Pharmacology. This interdisciplinary perspective fosters collaboration and innovation, leading to the development of advanced computational tools and methodologies that can address the complex challenges in chemical research and development.
Global Reach and Impact: With a broad international readership and authorship, Journal of Chemical Information and Modeling has a global reach and impact. Its publications contribute to the dissemination of knowledge and advancements in chemical information science and computational modeling worldwide. The journal content influences both academic research and industrial applications, driving progress in areas such as drug discovery, materials design, chemical reaction mechanisms, and predictive toxicology.
High Standards and Rigorous Review: Maintaining high academic standards, Journal of Chemical Information and Modeling conducts a rigorous peer-review process. Each submitted manuscript undergoes thorough evaluation by experts in the field to ensure the quality, originality, and scientific rigor of the research. This stringent review process upholds the integrity and reputation of the journal, ensuring that only high-quality and impactful research is published.
Significance: Journal of Chemical Information and Modeling plays a significant role in advancing research and practice in chemical information science and computational modeling. By providing a platform for the publication of cutting-edge research findings, the journal contributes to the growth of knowledge and innovation in computational techniques for chemical research and development. It serves as an essential resource for researchers, scientists, and practitioners seeking to leverage computational tools and methodologies to address the challenges and opportunities in modern chemistry.

Journal Home: Journal Homepage

Editor-in-Chief: Kenneth M. Merz, Jr.

Scope: The Journal of Chemical Information and Modeling, published by the American Chemical Society (ACS), is a premier peer-reviewed journal that focuses on research at the interface of chemistry, information science, and computational modeling. It serves as a platform for researchers, academics, and practitioners to publish their findings and innovations in chemical information science and computational chemistry. Here is an overview of its key focus areas and scope:
1. Chemical Information Science:
Research on the organization, retrieval, and analysis of chemical data and information, including databases, data mining, and cheminformatics.
Advancements in chemical structure representation, molecular descriptors, and chemical reaction databases.
2. Computational Chemistry:
Topics covering theoretical and computational methods for studying chemical properties, molecular structure, and chemical reactions.
Research on quantum chemistry, molecular dynamics simulations, and density functional theory (DFT) calculations.
3. Molecular Modeling and Simulation:
Advancements in molecular modeling techniques and software tools for predicting molecular structures, properties, and interactions.
Research on protein-ligand docking, molecular mechanics, and structure-based drug design.
4. Chemoinformatics and Drug Discovery:
Topics covering the application of informatics techniques to drug discovery and development, including virtual screening, ligand-based design, and QSAR/QSPR modeling.
Research on structure-activity relationship (SAR) analysis, pharmacophore modeling, and chemogenomics.
5. Computational Toxicology:
Advancements in computational methods for predicting the toxicity of chemical compounds, including quantitative structure-toxicity relationship (QSTR) models and toxicogenomics.
Research on risk assessment, environmental toxicology, and chemical safety evaluation.
6. Molecular Informatics and Data Science:
Topics covering the application of data science techniques to molecular data analysis and interpretation, including machine learning, data visualization, and big data analytics.
Research on predictive modeling, knowledge discovery, and data-driven approaches to chemical research.
7. Cheminformatics Software and Tools:
Advancements in software development for cheminformatics, molecular modeling, and computational chemistry workflows.
Research on open-source tools, web-based platforms, and interoperability standards in cheminformatics.
8. Computational Chemistry Education:
Topics covering innovative approaches to teaching computational chemistry concepts and methodologies, including educational software, online courses, and virtual laboratories.
Research on curriculum development, pedagogical strategies, and the integration of computational tools in chemistry education.