0
- Volume 3, Issue 1 2025
By Alishba Masood
202410.20547/aibd.253104
Keywords: Literature Analytics, Data Science, Periodic Analytics, Cluster Analytics, Dominant Authors, Research Trends
Abstract: With the growing interest in academics and industry towards research and the availability of large number of publishers, the frequency of publications is also on the rise. It is found that researchers are very careful about the selection of the related periodicals and the proceedings with good research index and well-known publishers. In this direction, this research performed a quantitative analysis of the publication by various authors in leading journals. We identified their interests/ selection of the periodicals for their research publication. For this purpose, a scrapping tool was developed, and data was scrapped for scientific publications published in fifteen different prominent journals of IEEE, Elsevier, springer and ACM. The journals were related to computer architecture and performance optimization. The dataset contains 1323 research papers from 2400 different authors. Clustering has been performed to identify the authors and their preferred avenues for research. The analytics trend shows that about 98% of researchers try to remain associated with a single journal. This reveal limited cross-journal engagement even with same publisher. They are reluctant to publish in other journals and periodicals. This may imply the loyalty of authors to a specific outlet that may have implication for publication strategies, editorial policies, and research dissemination diversity. Even the authors try to avoid different journals of the relevant field of same publisher. For the analytics, R-studio was used where different cluster plots of journals against the authors are made and trends are visualized.