A Comparative Bibliometric Analysis of Emotional Intelligence in Leadership Performance

Abstract This paper provides an overview of a comparative bibliometric analysis of research on emotional intelligence in leadership performance using multiple analytical tools. Historically, bibliometric research evolved from simple citation analysis into a complex discipline that intersects with AI and ethics. As publications are continuously growing in complexity and in volumes, bibliometric analysis is increasing in importance to identify research trends, assess impact, and undercover new directions. While its methodologies provide deep insights into the evolution of knowledge, an overreliance on metrics without critical assessment can reinforce biases and hinder innovation. In this evolving context, the research assesses analysis results of well-known bibliometric tools (VOSviewer, Biblioshiny); and compare the results with the outcome of analysis performed with AI technology (Scholar GPT). Both VOSviewer and Biblioshiny offer capabilities which complement each other in supporting bibliometric research. Although AI tools in bibliometric research are controversial and still evolving, they can be considered for addressing productivity challenges which also arise in the research field due to the increased number of publications. This paper’s outcomes re-emphasize the importance of selecting the right research methodology and tools based on each research project’s requirements. In conclusion, future bibliometric research should consider hybrid models that combine quantitative precision with qualitative focus, while tools will have to balance high processing demands, increased accuracy and relevancy. Bibliometrics will continue to model progress through innovation and research objectivity.