In this study, I employ a multifaceted comprehensive scientometric approach to explore the
intellectual underpinnings of AI and ML in financial research by examining the publication …

This paper surveys the extant literature on machine learning, artificial intelligence, and deep
learning mechanisms within the financial sphere using bibliometric methods. We considered …

This bibliometric review examines the research state of artificial intelligence (AI) and
machine learning (ML) applications in the BFSI (Banking, Financial Services and Insurance) …

Technology has reshaped how financial services are designed, delivered, and consumed
over the past decade. The increased mobile and internet penetration and availability of …

This study reviewed the artificial intelligence (AI) and machine learning (ML) literature in the
finance field. Using a bibliometric approach, we collected 348 articles published in 2011 …

Over the past two decades, artificial intelligence (AI) has experienced rapid development
and is being used in a wide range of sectors and activities, including finance. In the …

This paper conducted a comprehensive analysis based on bibliometrics and science
mapping analysis. First, 848 publications were obtained from Web of Science. Their …

This study aims to investigate how FinTech evolved over time in research using bibliometric
analysis. First, 1359 publications particularly related to the field of FinTech, from 2010 to …

Purpose: This chapter aims to review the research literature on the insurance industry and
map the emerging research trends in this field through a bibliometric analysis and network …

Purpose Deep learning (DL) is a new and relatively unexplored field that finds immense
applications in many industries, especially ones that must make detailed observations …