**Social Network and Scientometric Analysis in Collaborative Research Publications between India and Germany** Scientists and organizations should consider the benefits and costs of collaboration before deciding to collaborate. Collaboration for its individual sake does not seem to be warranted, given the number of critical success factors that should be taken into account before and during collaboration. Collaboration persuades the establishment of effectual communication and partnerships and also recommends equivalent chances among the team members. It tributes and respects each member's individual and organizational technique. It also augments the ethical demeanor, maintains sincerity, simplicity, secrecy, reliability, and righteousness. Scientometric and social network indicators are used to appraise the quantitative and qualitative published scientific literature in any given subject field of study, countries, institutions, sources and also enable to analyse assists to study the past, present and forecast the future, features of theories, laws, and models linked to scientific developments and its research collaboration with the society. This study will draw several empirical analyses intended to measure the effects of Indo-German collaboration on research performance and, indirectly, to verify the legitimacy of policies that support such collaboration. Our study superimposes the Indo - German research trends system, using a scientometric and social network-type approach in which collaboration and co-authorship, and institutions of scientific publications are treated on a par, and is aimed at assessing the impact of collaboration intensity on scientific productivity. This study aims to investigate the influence of different patterns of collaboration on the citation impact among the Indo - German researchers. More precisely the project will have following components: The researcher will collect data from Web of Science, SCOPUS, and Pub Med databases. The aggregated data can be analyzed by various software like Hiscite, Bibexcel, Biblioshiny, and SPSS to determine diverse scientometric measures. Social network analysis software Pajek and visualization software VOS Viewer will be utilized to present better visualization of networks for data interpretation and presentation of research work. This research project will be providing the following expected outcomes and benefits to India and Germany.