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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 ...
Desktop search product with Outlook plugin and limited support for other formats via IFilters, uses Lucene search engine. Proprietary (14-day trial) Nepomuk: Linux: Open-source semantic desktop search tool for Linux. Has been replaced by Baloo in KDE Applications from release 4.13 onward. License SA 3.0 and the GNU Free Documentation License 1. ...
Microsoft Academic. Microsoft Academic was a free internet-based academic search engine for academic publications and literature, developed by Microsoft Research in 2016 as a successor of Microsoft Academic Search. Microsoft Academic was shut down in 2022. Both OpenAlex [1] [2] and The Lens claim to be successors to Microsoft Academic.
Anurag Acharya. Anurag Acharya is an Indian-American engineer known for co-founding Google Scholar, [1] of which he has been described as the "key inventor". As of 2023, Acharya held the title of Distinguished Engineer at Google. [2] He and his Google colleague Alex Verstak co-founded Google Scholar in 2004.
These categories can be used to track, build and organize lists of pages needing "attention en masse " (for example, pages using deprecated syntax), or that may need to be edited at someone's earliest convenience. These categories also serve to aggregate members of several lists or sub-categories into a larger, more efficient list ...
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).
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 ...