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Google Scholar is a freely accessible web search engine that indexes the full text or metadata of scholarly literature across an array of publishing formats and disciplines. . Released in beta in November 2004, the Google Scholar index includes peer-reviewed online academic journals and books, conference papers, theses and dissertations, preprints, abstracts, technical reports, and other ...
Google Scholar: Multidisciplinary: 389,000,000 The biggest academic database & search engine (over 390 million records, unofficial estimate) Free Google: Informit: Multidisciplinary: 8,000,000 Australasian aggregator of bibliographic databases and journals Subscription RMIT Training Pty Ltd (RMIT Training) Inspec: Physics, Engineering, Computer ...
Author-level metrics are citation metrics that measure the bibliometric impact of individual authors, researchers, academics, and scholars. Many metrics have been developed that take into account varying numbers of factors (from only considering the total number of citations, to looking at their distribution across papers or journals using statistical or graph-theoretic principles).
The h-index is an author-level metric that measures both the productivity and citation impact of the publications, initially used for an individual scientist or scholar. The h -index correlates with success indicators such as winning the Nobel Prize, being accepted for research fellowships and holding positions at top universities. [1]
Citation impact or citation rate is a measure of how many times an academic journal article or book or author is cited by other articles, books or authors. Citation counts are interpreted as measures of the impact or influence of academic work and have given rise to the field of bibliometrics or scientometrics, specializing in the study of patterns of academic impact through citation analysis.
Semantic Scholar is a research tool for scientific literature powered by artificial intelligence. It is developed at the Allen Institute for AI and was publicly released in November 2015. [2] Semantic Scholar uses modern techniques in natural language processing to support the research process, for example by providing automatically generated ...
In other words, Google Scholar covers a larger range of research studies, yet have included bibliographic problems, for example, author sequence, different paper title, etc. ResearcherID has a relatively smaller coverage but is more accurate than Google Scholar. Inadequacy. ResearcherID was proved to have less users compared with other author ...
Templates. To help find sources, Wikipedians have developed a number of source-finding templates which link to searches most likely to find references suitable for use in articles. The most well-known of these is { { find sources }}, an inline template which can be used almost anywhere.