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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 ...
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 ...
He was a co-founder of Adept AI Labs and a former staff research scientist at Google Brain. Career. Vaswani completed his engineering in Computer Science from BIT Mesra in 2002. In 2004, he moved to the US to pursue higher studies at University of Southern California.
e. The h-index is an author-level metric that measures both the productivity and citation impact of the publications, initially used for an individual scientist or scholar. The h -index correlates with success indicators such as winning the Nobel Prize, being accepted for research fellowships and holding positions at top universities. [1]
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.
Assessing the citation impact of books: The role of Google Books, Google Scholar, and Scopus. Journal of the American Society for Information Science and Technology, 62(11), 2147–2164. Oltersdorf, J. (2013).
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).
Danna Freedman is an American chemist and the Frederick George Keyes Professor of Chemistry at the Massachusetts Institute of Technology. [1] [2] [3] Her group's research focuses on applying inorganic chemistry towards questions in physics, with an emphasis on quantum information science, materials with emergent properties, and magnetism.