Application of author bibliographic coupling analysis and author keywords ranking in identifying research fronts of Indian Neurosciences research

Probing research fronts identification unfailingly delivers interesting results in any field due to its decisive nature. Citation analysis is an acclaimed method used in this process among which more successful results backing Author Co-citation Analysis (ACA) and Author Bibliographic Coupling Analysis (ABCA). The current study opted to combine author bibliographic coupling network analysis and author keywords to explore and display a graphical representation of prominent research areas’ evolution over the study period in Indian Neuroscience research domain. Application of hierarchical clustering to author bibliographic coupling networks for all non-overlapping consecutive years included in the study period were performed and analysed in VOSviewer mapping software. The powerful Lin/log modularity normalization was chosen for determining distance based similarity while clustering the network units. Results of the study unfolded ten prominent research subfields with more emphasis on Epilepsy’ and ‘Parkinson’s disease’ research. Depression was identified as one of the upcoming prominent area in recent years. Apart from its cruciality in framing national level mental health policies, the study will also prove ABCA to be an effective method in identifying prominent research areas

Library and information science theses in Shodhganga repository: a study

95-100The study aims to analyse the availability, visibility, impact, and trend of LIS PhD theses deposited in Shodhganga. Data for the study were obtained from Shodhganga ETD repository (http://shodhganga.inflibnet.ac.in/) and Google Scholar till December 2019. Ninety six Indian universities have deposited 1767LIS theses in the Shodhganga repository. Detailed analysis of the top five universities contributing to Shodhganga reveals that only 15.68% of the theses were cited. Theses from Savitribai Phule Pune University received the maximum number of citations. Most productive research guides in LIS research based on e-theses in Shodhganga have also been identified

Application of author bibliographic coupling analysis and author keywords ranking in identifying research fronts of Indian Neurosciences research

Probing research fronts identification unfailingly delivers interesting results in any field due to its decisive nature. Citation analysis is an acclaimed method used in this process among which more successful results backing Author Co-citation Analysis (ACA) and Author Bibliographic Coupling Analysis (ABCA). The current study opted to combine author bibliographic coupling network analysis and author keywords to explore and display a graphical representation of prominent research areas’ evolution over the study period in Indian Neuroscience research domain. Application of hierarchical clustering to author bibliographic coupling networks for all non-overlapping consecutive years included in the study period were performed and analysed in VOSviewer mapping software. The powerful Lin/log modularity normalization was chosen for determining distance based similarity while clustering the network units. Results of the study unfolded ten prominent research subfields with more emphasis on Epilepsy’ and ‘Parkinson’s disease’ research. Depression was identified as one of the upcoming prominent area in recent years. Apart from its cruciality in framing national level mental health policies, the study will also prove ABCA to be an effective method in identifying prominent research areas