02468nas a2200277   4500000000100000000000100001008004100002260001200043653003600055653002300091653002300114653002300137653002500160100001700185700002300202700001500225700002200240700003000262700002200292245009600314856008200410300001200492490000600504520166600510022001402176       2022                            d  c03/202210aCollaborative Research Analysis10aInfluence Analysis10aNetwork Centrality10aQuality of Reseach10aStatistical Analysis1 aSidra Razzaq1 aAhmad Kamran Malik1 aBasit Raza1 aHasan Ali Khattak1 aGiomar W. Moscoso Zegarra1 aYvan Díaz Zelada00aResearch Collaboration Influence Analysis Using Dynamic Co-authorship and Citation Networks  uhttps://www.ijimai.org/journal/sites/default/files/2022-03/ijimai7_3_10_0.pdf  a103-1160 v73 aCollaborative research is increasing in terms of publications, skills, and formal interactions, which certainly makes it the hotspot in both academia and the industrial sector. Knowing the factors and behavior of dynamic collaboration network provides insights that helps in improving the researcher’s profile and coordinator’s productivity of research. Despite rapid developments in the research collaboration process with various outcomes, its validity is still difficult to address. Existing approaches have used bibliometric network analysis with different aspects to understand collaboration patterns that measure the quality of their corresponding relationships. At this point in time, we would like to investigate an efficient method to outline the credibility of findings in publication—author relations. In this research, we propose a new collaboration method to analyze the structure of research articles using four types of graphs for discerning authors’ influence. We apply different combinations of network relationships and bibliometric analysis on the G-index parameter to disclose their interrelated differences. Our model is designed to find the dynamic indicators of co-authored collaboration with an influence on the author’s behavior in terms of change in research area/interest. In the research we investigate the dynamic relations in an academic field using metadata of openly available articles and collaborating international authors in interrelated areas/domains. Based on filtered evidence of relationship networks and their statistical results, the research shows an increment in productivity and better influence over time.  a1989-1660