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Perovskite solar cells (PSCs) have raised significant attention due to their rapid increase in power conversion efficiency (PCE) in less than 15 years. However, the metal-based counter electrode of the PSC device suffers from stability issues under ambient air conditions. In contrast, the carbon-based electrode perovskite solar cells (CBPSCs) have better stability in ambient air than the metal-based electrode. Based on the bibliometric analysis, this paper presents the research trends and future outlook of CBPSCs spanning from January 1, 2013, to August 31, 2023. The VOSviewer and Biblioshiny (Bibliometrix) software were used to visualize the analyzed dataset retrieved from the Scopus database. The bibliometric analysis includes the CBPSCs annual publication, source network, co-occurrence of all keywords analysis, author analysis, country analysis, research funding analysis, central area in CBPSCs, and progress in CBPSCs. The results show that China was leading in the overall analysis area, including the funding sponsor. The highest PCE-certified record in CBPSC to date was 21.9 %, which is almost comparable to the metal-based electrode (26.1 %). The research trends based on bibliometric analysis reveal that the future research focus will be on the carbon interface and charge transfer, which can be done by engineering the layer or incorporating dopants. This paper is expected to give insight to the researcher or stakeholder in the advancement of CBPSCs. [ABSTRACT FROM AUTHOR]

• Study analyzes 1374 papers on sensitivity analysis in Scopus. • RStudio, CiteSpace, and VOSviewer are used. • China has most articles published; India leads in international cooperation. • Top three cited journals: J. Clean. Prod., Expert Syst. Appl., and Comput. Ind. Eng. • Most cited authors are Pamučar D, Kahraman C, and Zavadskas EK. In the present era, the implementation of scientifically grounded Multi-Criteria Decision Making (MCDM) has emerged as a pivotal solution to diverse decision-making challenges across various domains. Although a substantial body of exploratory, conceptual, and experimental studies exists, only 9.457% studies have incorporated sensitivity analyses to assess the robustness of MCDM methods. An exhaustive scientific exploration of sensitivity analysis within the scope of MCDM is thus lacking. This research aims to address this gap through Bibliometric Analysis while examining 1374 articles published between January 2000 and March 2023 from the Scopus database. Using RStudio (Biblioshiny), CiteSpace, and VOSviewer software, the study constructs a visual representation of the most prolific countries, institutions, and authors. Impressively, China takes the lead in article publications, while India excels in international collaboration. "An extended TODIM multi-criteria group decision-making method for green supplier selection in an interval type-2 fuzzy environment," featured in the Journal of Environmental Management, emerges as the most cited paper with a total citation of 455. The study also identifies the top three most cited journals, namely "Journal of Cleaner Production," "Expert Systems With Applications," and "Computers and Industrial Engineering." "North China Electric Power University" is the leading institute with the highest research outputs. "Pamučar D" is the most cited author, with 2594 citations and 39 articles, followed by "Kahraman C" and "Zavadskas EK. This study sheds light on trends in scientific developments and collaborations, providing a model for the application of sensitivity analysis in MCDM research and highlighting global trends. An understanding of the current state of sensitivity analysis research can assist researchers working in the entire domain of MCDM. Additionally, the visualization provides prescriptive data for future work and applications related to sensitivity analysis. [ABSTRACT FROM AUTHOR]