Journal of Chemical Information and Modeling
Q1 Journal
Journal
Country
United States
Northern America
Subject Area and Category
Chemical Engineering
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Chemical Engineering (miscellaneous)
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Chemistry (miscellaneous)
Q1
└
Computer Science Applications
Q1
Publisher
SJR 2025
1.430
Q1
SJR Score
H-Index
219
Citations / Doc (2yr)
6.35
Total Docs. (latest)
1,046
Total Citations (3yr)
13,020
Publication type
Journals
ISSN
1549960X, 15499596
Coverage
2005-2026
Journal Rank
#2,646
Subject Categories
Chemical Engineering (miscellaneous)
Q1
Chemistry (miscellaneous)
Q1
Computer Science Applications
Q1
Library and Information Sciences
Q1
Subject Areas
Aims & Scope
The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling.
Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery.
Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field.
As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
Abstracting & Indexing
Scopus
Google Scholar
Web of Science
Medline
Detailed Metrics
| Total Docs. (latest) | 1,046 |
| Total Docs. (3 years) | 2,037 |
| Total Refs. | 64,212 |
| Total Citations (3 years) | 13,020 |
| Citable Docs. (3 years) | 2,018 |
| Citations / Doc. (2 years) | 6.35 |
| Ref. / Doc. | 61.39 |
| % Female | 32.8% |
Metrics Visualization
Latest year data vs 3-year cumulative figures
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