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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 ...
Semantic Scholar: Multidisciplinary It is designed to quickly highlight the most important papers and identify the connections between them. It currently includes on computer science and biomedical publications. Free Allen Institute for Artificial Intelligence [140] SemOpenAlex: Multidisciplinary
Total citations, or average citation count per article, can be reported for an individual author or researcher. Many other measures have been proposed, beyond simple citation counts, to better quantify an individual scholar's citation impact. [15] The best-known author-level measures include total citations and the h-index. [16]
The i-10 index indicates the number of academic publications an author has written that have been cited by at least 10 sources. It was introduced in July 2011 by Google as part of their work on Google Scholar. [15] RG Score: ResearchGate Score or RG Score is an author-level metric introduced by ResearchGate in 2012. [16]
ResearchGate's competitors include Academia.edu, Google Scholar, and Mendeley, [4] as well as new competitors that emerged in the last decade like Semantic Scholar. In 2016, Academia.edu reportedly had more registered users (about 34 million versus 11 million [ 25 ] ) and higher web traffic, but ResearchGate was substantially larger in terms of ...
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.
In 2011, Ng founded the Google Brain project at Google, which developed large-scale artificial neural networks using Google's distributed computing infrastructure. [44] Among its notable results was a neural network trained using deep learning algorithms on 16,000 CPU cores , which learned to recognize cats after watching only YouTube videos ...
Google Books (previously known as Google Book Search, Google Print, and by its code-name Project Ocean) [1] is a service from Google that searches the full text of books and magazines that Google has scanned, converted to text using optical character recognition (OCR), and stored in its digital database. [2]