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Google Scholar is a free web search engine that indexes various formats and disciplines of academic publications, such as journals, books, theses, and patents. It also provides features for citation analysis, author profiles, and related articles.
A comprehensive and updated list of notable databases and search engines for finding and accessing academic articles, books, datasets, and other resources. Compare the coverage, retrieval qualities, access costs, and providers of different services across disciplines and domains.
The h-index is the number of publications that have at least h citations each, where h is the largest value that satisfies this condition. It measures the productivity and citation impact of an author, journal, or group of scientists, and is related to success indicators such as Nobel Prize or research fellowships.
Learn about different measures and methods to evaluate the impact and quality of academic journals, such as citation-based, expert survey, and altmetrics. Compare various national and international rankings, such as SCImago Journal Rank, ERA, and CORE.
Impact factor is a scientometric index that reflects the yearly mean number of citations of articles published in a journal. It is frequently used as a proxy for the relative importance of a journal within its field, but has been criticised for distorting good scientific practices.
Learn how citation impact is calculated and used for academic articles, books, authors and journals. Compare different citation metrics, such as impact factor, h-index, g-index, and their advantages and limitations.
This web page lists and compares different approaches to ranking academic publishing groups and publishers, such as reputation, impact factor, citation count, and survey. It also discusses the challenges and limitations of these rankings, and provides some examples of specific publishers and disciplines.
The i-10 index is an author-level metric that indicates the number of publications an author has written that have been cited by at least 10 sources. It was introduced by Google in 2011 as part of their work on Google Scholar.
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