Authorship Pattern on Multiple Disabilities during 2006-2020: A Scientometric Analysis

The study highlights the research collaboration and growth rate in multiple disabilities using social network analysis based on 27708 scholarly communications from 2006-2020. It analyses the types and trends of authorship patterns through various indices and employs social network analysis. The study aims to construct a Co-authorship network at the micro and macro levels to disclose the intellectual structure of prolific authors. The study exemplifies the growth rate with mean average growth rate (0.09), relative growth rate (0.23) and doubling time (3.52), which specifies that there is no constant rate of augmentation found in the research field and authors tend to work collaboratively. While comparing the prolific authors Scientometric measures with social network measures, the author Kappos L has secured the highest position in production (255), with the utmost H-Index (67), G-index (154), M-Index (3.914) and citation (24478). He is the best collaborator with the highest cluster level of 354, degree centrality (84) and close to other authors (0.847).