Cleaner Logistics and Supply Chain
Q1 Journal
Open Access
Journal
Country
United Kingdom
Western Europe
Subject Area and Category
Business, Management and Accounting
└
Environmental Science (miscellaneous)
Q1
└
Industrial and Manufacturing Engineering
Q1
└
Management, Monitoring, Policy and Law
Q1
Publisher
SJR 2025
1.447
Q1
SJR Score
H-Index
37
Citations / Doc (2yr)
9.40
Total Docs. (latest)
87
Total Citations (3yr)
1,798
Publication type
Journals
ISSN
27723909
Coverage
2021-2026
Journal Rank
#2,590
Subject Categories
Environmental Science (miscellaneous)
Q1
Industrial and Manufacturing Engineering
Q1
Management, Monitoring, Policy and Law
Q1
Management of Technology and Innovation
Q1
Aims & Scope
Cleaner Logistics and Supply Chain (CLSCN) is an international, transdisciplinary companion journal to the Journal of Cleaner Production focusing on the domain of green, sustainable, and circular logistics and supply chain management.
CLSCN serves as a platform for addressing and discussing how each paper contributes to the United Nations Sustainable Development Goals and to a zero-carbon society within the domain of cleaner logistics and supply chain management.
High quality contributions are welcome from both academics and professionals working in the field of logistics and supply chain management.
Methodologically, CLSCN covers the full range of empirical, conceptual, modeling, quantitative, and qualitative research studies.
All empirical studies should contribute to theory.
Application of technologies to achieve sustainability is within the journal's scope, but technology development alone are not research papers suitable for CLSCN.
Abstracting & Indexing
Scopus
Google Scholar
Directory of Open Access Journals (DOAJ)
Web of Science
Detailed Metrics
| Total Docs. (latest) | 87 |
| Total Docs. (3 years) | 171 |
| Total Refs. | 6,943 |
| Total Citations (3 years) | 1,798 |
| Citable Docs. (3 years) | 170 |
| Citations / Doc. (2 years) | 9.40 |
| Ref. / Doc. | 79.80 |
| % Female | 29.4% |
Metrics Visualization
Latest year data vs 3-year cumulative figures
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