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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 ...
Create a link to an empty Google Scholar search form {{google scholar|David Branby}} David Branby: Search for scholarly articles by, or mentioning: David Branby {{google scholar|Dandan Tu}} Dandan Tu: Search for scholarly articles by, or containing: Dandan Tu {{google scholar|Dandan Tu|Search for articles by, or mentioning: Dandan Tu}}
Google Scholar ID publications indexed by Google Scholar [The name of the Wikipedia page you now are looking at is displayed above. The lead name will change according to the name of the Wikipedia page the template is used on.]
ResearchGate was visited regularly by half of those surveyed by Nature, coming second to Google Scholar. 29 percent of regular visitors had signed up for a profile on ResearchGate in the past year, [5] and 35% of the survey participants were invited by email. [5]
Internet Archive Scholar: Multidisciplinary: 25,000,000 Focus on fulltext search of open access journals and conference proceedings Free Yes Internet Archive: CORE [3] Multidisciplinary: 9,800,000 [4] (207,000,000 metadata [5]) A full text aggregator of all open access papers from repositories (institutional, subject, preprints, etc.) and ...
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.
John H. Werren, Nathaniel and Helen Wisch Professor in Biology at the University of Rochester, leading expert in evolutionary genetics, awarded the Humboldt Prize [1], member of the American Academy of Arts and Sciences [2] [3], fellow of the American Association for the Advancement of Science [4]; Google Scholar profile.
Richard Stanley Zemel (born 1963) is a Canadian-American computer scientist and professor at Columbia University, Department of Computer Science, and a leading figure in the field of Machine Learning and Computer Vision.