Biblio-Analysis of Cohort Intelligence (CI) Algorithm and its allied applications from Scopus and Web of Science Perspective
Ishaan Kale, Rahul Joshi, Kalyani Kadam

TL;DR
This paper provides a bibliometric analysis of the Cohort Intelligence (CI) optimization algorithm and its applications, highlighting publication trends, authorship, and research domains from Scopus and Web of Science data.
Contribution
It is the first comprehensive bibliometric study on CI, analyzing its research evolution, key contributors, and application areas through bibliometric methods.
Findings
Identification of key authors and sources in CI research
Visualization of research trends and keyword evolution
Systematic overview of CI applications across domains
Abstract
Cohort Intelligence or CI is one of its kind of novel optimization algorithm. Since its inception, in a very short span it is applied successfully in various domains and its results are observed to be effectual in contrast to algorithm of its kind. Till date, there is no such type of bibliometric analysis carried out on CI and its related applications. So, this research paper in a way will be an ice breaker for those who want to take up CI to a new level. In this research papers, CI publications available in Scopus are analyzed through graphs, networked diagrams about authors, source titles, keywords over the years, journals over the time. In a way this bibliometric paper showcase CI, its applications and detail outs systematic review in terms its bibliometric details.
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Taxonomy
TopicsArtificial Intelligence in Healthcare
