Databases used for h-index calculation

Researchers frequently use multiple databases that offer comprehensive publication and citation data to calculate the h-index. Three prominent databases used for h-index calculation are Scopus, Google Scholar, and the Institute for Scientific Information (ISI).
Databases used for h-index calculation

Finding an h-index

You can calculate your h-index utilizing three notable databases including

Google scholar


Google Scholar, a freely accessible search engine, has gained popularity among researchers for its broad coverage of scholarly literature. It indexes multiple sources, including journal articles, conference papers, theses, and dissertations. Scholars can see how many citations their articles received through Google Scholar's citation tracking service. While Google Scholar's citation data may not be as comprehensive or accurate as that of Scopus or ISI, it is a valuable tool for estimating citation counts and calculating the h-index, especially for researchers without having access to subscription-based databases.

Goofle scholar

Scopus


One of the major databases of citations and abstracts is Scopus, which belongs to Elsevier. It offers comprehensive coverage of academic literature across a wide range of fields. Millions of records from different sources, such as publications, conference papers, and patents, are available on Scopus. It offers comprehensive citation data, enabling researchers to track the impact of their work and calculate their h-index. Scopus is widely used due to its multidisciplinary coverage and reliable citation data, making it a valuable resource for h-index calculations.

Scopus

ISI


The Institute for Scientific Information (ISI) is known for its Web of Science database, which covers an extensive array of disciplines and provides access to high-quality scholarly literature. Web of Science includes journals, conference proceedings, and other scientific literature. It offers a reliable source for citation data and enables researchers to calculate their h-index accurately. In the academic world, ISI's indexing and citation statistics are highly valued and frequently utilized for bibliometric analysis and research evaluations.

ISI

Strengths and Limitations of Each Database


All of these databases have pros and cons of their own. Scopus is recognized for its multidisciplinary coverage and reliable citation data, making it suitable for comprehensive h-index calculations. Although not as thorough, Google Scholar is practical for citation count estimation because it offers easily accessible and user-friendly citation tracking features. In particular, the science, technology, and medical domains hold the ISI's Web of Science database in the highest regard for its quality and accuracy.

Table

Considerations for Researchers

It's important to note that h-index values may fluctuate between these databases due to variations in data sources, indexing methods, and coverage. Researchers ought to utilize multiple databases to have a more thorough picture of their study impact and to cross-validate their h-index.

In conclusion, Scopus, Google Scholar, and ISI (Web of Science) are widely used databases for calculating the h-index. Each database has strengths and limitations, offering researchers different options to assess their research impact. Researchers should choose the most suitable database(s) based on their disciplinary focus, access availability, and the specific requirements of their field. Researchers can assess their scholarly impact and make valuable contributions to the field's body of knowledge through these databases.

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Frequently asked questions

1. Which database is considered the most comprehensive for calculating the h-index?
2. Is Google Scholar a reliable source for estimating citation counts and calculating the h-index?
3. In which fields is the ISI's Web of Science database highly regarded?
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