The h-index has emerged as a pivotal metric for evaluating the scientific impact and productivity of journals, authors, and institutions.In the context of scientific journals, the h-index is instrumental in determining their influence and standing within the research community.This paper explores the critical tools and platforms available for calculating the h-index of scientific journals, emphasizing their methodology, accessibility, and accuracy.Prominent tools, including Web of Science, Scopus, and Google Scholar, are analyzed for their strengths and limitations in h-index determination.We highlight the role of citation databases, their indexing algorithms, and coverage of disciplines in influencing the h-index calculation.The study also examines open-access platforms and emerging AI-powered tools, which aim to democratize access to bibliometric analysis.Through a comparative analysis, the paper identifies key considerations for selecting the appropriate platform based on journal scope, citation frequency, and data granularity.Furthermore, challenges such as data incompleteness, citation biases, and variations in calculation methodologies are discussed.By synthesizing insights on available tools and their applications, this paper provides a comprehensive guide for researchers, editors, and policymakers to assess and leverage the h-index effectively in the realm of academic publishing.
| Jurnal | ТАТУ хабарлари |
|---|---|
| Nashr sanasi | 2024-11-20 |
| DOI | 10.61663/243tuitmct4 |
DOI: 10.61663/243tuitmct4 · Maqolaning asl sahifasi
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