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  2. Google Scholar - Wikipedia

    en.wikipedia.org/wiki/Google_Scholar

    Google Scholar allows users to search for digital or physical copies of articles, whether online or in libraries. It indexes "full-text journal articles, technical reports, preprints, theses, books, and other documents, including selected Web pages that are deemed to be 'scholarly.'"

  3. Wikipedia:Advanced source searching

    en.wikipedia.org/wiki/Wikipedia:Advanced_source...

    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.

  4. List of academic databases and search engines - Wikipedia

    en.wikipedia.org/wiki/List_of_academic_databases...

    The biggest academic database & search engine (over 390 million records, unofficial estimate) Contains over 2,500 journals (including 700 journals from Poland ). Provides free public access to over 266,000 full-text documents and bibliographic citations of Department of Energy ( DOE) research report literature.

  5. Comparison of research networking tools and research ...

    en.wikipedia.org/wiki/Comparison_of_research...

    These RN tools enhance research support activities by providing data for customized, web pages, CV/biosketch generation and data tables for grant proposals. Contents 1 General 2 Data sources, ingest and export formats 3 Data interoperability and integration 4 Users profiled, user interactivity and networking functionality

  6. Wikipedia:Search engine test

    en.wikipedia.org/wiki/Wikipedia:SET

    The single most useful search engine tool may be the use of quotation marks to find an exact match for a phrase. However, a search engine such as Google has both an easy, and an advanced search with further search options. The advanced search makes it easier to enter advanced options, that may help your searching.

  7. Wikipedia:Google searches and numbers

    en.wikipedia.org/wiki/Wikipedia:Google_searches...

    The 2014 estimated Google database size of 10 exabytes (one exabyte= one billion Gigabytes) is likely now far surpassed with a 2019 estimated size of around 61.5 billion pages. It was estimated in 2013 that there was "2.5 quintillion bytes of data created every day which has likely been far surpassed. Advertising

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