Blockchain technology has gained widespread recognition globally, with consensus algorithms (CAs) at its core. This paper presents a quantitative analysis of the research landscape surrounding blockchain consensus algorithms (BCAs), aiming to offer insights into the advancement of CAs. The study utilises bibliometric analysis and visualisation software tools to explore 1084 publications from 2016 to October 2023, sourced from Scopus. The research identifies leading countries, influential authors, essential sources, notable articles, and prevalent keywords in this field. Rigorous search criteria ensure dataset integrity. The findings reveal a consistent increase in publication trends, with significant growth starting from 2019. China, India, and the United States contribute to this research domain. Influential articles include those by Zheng et al. (2017), Wang et al. (2019), and Du et al. (2017). Notably, IEEE Access, ACM International Conference Proceeding Series, and Lecture Notes in Computer Science are prolific sources. The analysis underscores the prevalence of keywords such as “blockchain,” “consensus algorithms,” and “consensus protocols.” This study provides valuable insights and contributions to the literature on BCAs.