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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 ...
List of academic databases and search engines. This article contains a representative list of notable databases and search engines useful in an academic setting for finding and accessing articles in academic journals, institutional repositories, archives, or other collections of scientific and other articles. Databases and search engines differ ...
WP:ADVANCEDSOURCE. Advanced source searching can provide more comprehensive and accurate search results compared to simpler standard searches, which can be useful for the assessment and determination of topic notability. Customizing searches to narrow results, using other search engines besides Google, and the general customization of search ...
Wikipedia entry for Google Patents.Google Patents is a search engine from Google that indexes patents and patent applications from the United States Patent and Trademark Office.
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.
Scopus. Scopus is an abstract and citation database launched by the academic publisher Elsevier in 2004. [1] Journals in Scopus are reviewed for sufficient quality each year according to four numerical measures: h -Index, CiteScore, SJR ( SCImago Journal Rank) and SNIP ( source normalized impact per paper ).
Documents that are not indexed by search engines create what is known as the deep Web, or invisible Web. Google Scholar is one example of many projects trying to address this, by indexing electronic documents that search engines ignore. And the metasearch approach, like the underlying search engine technology, only works with information ...
Use Internet Archive scholar, CORE or another open-access search engine to look for an open version of the article. Using either the DOI, Google Scholar, or the journal's website, find out what databases index the article in full text. You can then see if either your local library or the Wikipedia Library provides access to these databases.
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