arbiter
JournalsPricingAccount

Green logistics: a bibliometric analysis and review

Manohar Mahapatro et al.

International Journal of Logistics Systems and Management2026https://doi.org/10.1504/ijlsm.2026.150955article
AJG 1
Weight
0.50

What the paper says

The rapidly evolving domain of logistics has seen an exponential growth in research articles in this discipline. A variety of literature evaluations have been produced, each concentrating on specific aspects of logistics such as network architecture, supplier inventory control, information systems, and others with a wider framework. This paper includes a complete bibliometric analysis as well as a descriptive review of green logistics, sustainability, transportation and reverse logistics. The investigation begins with the identification of 1,296 scientific studies, which are subsequently narrowed down to works in supply chain-related domains. This comprehensive analysis of the domain aids in graphical interpretation of publication history through time as well as identifying areas of current research interest and prospective directions for future study. The findings provide a solid path for future research in this domain.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1504/ijlsm.2026.150955

Or copy a formatted citation

@article{manohar2026,
  title        = {{Green logistics: a bibliometric analysis and review}},
  author       = {Manohar Mahapatro et al.},
  journal      = {International Journal of Logistics Systems and Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijlsm.2026.150955},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Green logistics: a bibliometric analysis and review

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.