Volume 15, No 1, 2018
Authorship Pattern And Degree Of Collaboration In Marine Pollution Research Output
Dr. Baskaran P, Dr. Jayaraman I.
Abstract
This scientometric analysis aims to investigate the authorship patterns and degree of collaboration in marine pollution research output. By analyzing a comprehensive dataset of relevant articles obtained from a research database, this study examines the authorship distribution, authorship order, and collaboration dynamics within the field of marine pollution. The analysis begins by collecting a dataset of marine pollution research articles using appropriate search terms. The authors' information, including their affiliations, is extracted for further analysis. The authorship distribution is explored by determining the average number of authors per article, identifying single-authored and multi-authored papers, and analyzing the distribution pattern. Furthermore, the authorship order is investigated to identify trends such as the prevalence of first authors, last authors, and corresponding authors in marine pollution research output. This analysis provides insights into the roles and contributions of different authors within the field. The collaboration dynamics are examined by constructing a collaboration network based on co-authorship relationships. By linking authors who have collaborated on papers, clusters or communities of researchers can be identified. The degree of collaboration is quantified using collaboration indices, such as the Collaboration Coefficient, which measures the average number of authors per paper. Additionally, institutional collaboration is explored to determine the extent of collaboration among different institutions, organizations, or countries. This analysis sheds light on the collaborative networks and relationships within the marine pollution research community. Visualizations, such as network diagrams, co-authorship maps, and collaboration matrices, are employed to effectively represent the authorship patterns and collaboration relationships discovered in the analysis. The findings of this scientometric analysis provide valuable insights into the authorship patterns and degree of collaboration in marine pollution research output. The interpretation and discussion of these findings contribute to a better understanding of the research dynamics and collaborative trends in this field. Moreover, the results can inform researchers, institutions, and policymakers about the collaborative landscape in marine pollution research and facilitate future collaborations and interdisciplinary efforts to address this critical environmental issue.
Pages: 208-218
Keywords: Marine pollution is a pressing global environmental issue that poses significant threats to the health of marine ecosystems and the well-being of human populations.