DOI: https://doi.org/10.55373/mjchem.v28i3.81

Keywords: Sustainable Supply Chain Management, carbon emission, Green supply chain, Greenhouse gas emission, machine learning

Abstract

Carbon emission (CE) has emerged as a prominent research area because environment emerged as a global concern all over the globe. With this sustainable supply chain model also grown rapidly based on social, economic and environmental parameter after conference of parties 16 (COP 16) in 2015. This sharp increase in research and fragmented findings and scattered scholarly contribution make it difficult to find how to explore the systematic development of the filed. This study presents a systematic bibliometric analysis of CE in Supply Chain (SC) by using Scopus database. A total 1000 most cited publication were selected those who are published between 2015 to 2025 for four different keywords: SC, CE, CE in SC and Sustainable Supply Chain (SSC). Scopus dataset and analysis were studied deeply then Bibliometric techniques were employed using VOS viewer software to analysis public trends, authorship network, keyword occurrence, institution support and country wise research contribution. In addition, a detailed manual analysis of 20 most cited articles in the subject domain on Mathematics was conducted to identify research themes, methodological approaches and emerging research directions. These findings highlight the evolution of research in this domain, identify the most influential authors, institutions and countries and reveal key thematic clusters shaping the field. Furthermore, the study provides insight into the most effective research methods used in carbon emission studies within supply chains and highlight potential areas for future investigation. This bibliometric review contributes to a better understanding of the intellectual of the field and demonstrate the importance of bibliometric review in enhancing research productivity and guiding scholars toward promising research in the field of SSC.