A thorough and analytical work entitled "Research Productivity on Artificial Intelligence: A Scientometric Study" by R. Veerakumar examines the productivity and influence of research in the area of artificial intelligence (AI) through scientometric analysis. The book offers a thorough examination of the publication patterns, citation patterns, and research trends of AI research articles during the previous few decades. By showcasing the most important authors, organisations, and nations that have contributed to this subject, it provides insightful information about the expansion and development of the AI research community.

For academics and researchers interested in AI and scientometric analysis, the book provides a great reference. Advanced research methods have been used by the author to present a thorough and instructive analysis of the subject. The book discusses a variety of subjects, such as the development of AI research, the effects of open access publishing, and the formation of new AI study fields.

For everyone interested in the present state and prospects of AI research, "Research Productivity on Artificial Intelligence: A Scientometric Analysis" is a must-read. It is a useful tool for academics, researchers, politicians, and business executives involved in the field of AI. The book's in-depth analysis and insights will help readers better comprehend the most recent trends and advancements in AI research as well as how they will affect society.