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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 ...
The main academic full-text databases are open archives or link-resolution services, although others operate under different models such as mirroring or hybrid publishers. Such services typically provide access to full text and full-text search, but also metadata about items for which no full text is available.
New York University Press. Palgrave MacMillan (UK and Australia, St. Martin's Press in US) Politico's. Polity Press. Routledge ( Taylor and Francis) SAGE Publications. Science Publishers. Univ. of Pennsylvania Press. University of Michigan Press.
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).
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.
the free encyclopedia that anyone can edit. Thank You is the second major-label studio album by American singer-songwriter Meghan Trainor. Epic Records released it on May 13, 2016. Trainor wrote it with Jacob Kasher Hindlin and producer Ricky Reed, among others, incorporating various genres to showcase her versatility.
Reinforcement learning and simulation-based search in computer Go (2009) Website. www .davidsilver .uk. David Silver FRS (born 1976) is a principal research scientist at Google DeepMind and a professor at University College London. He has led research on reinforcement learning with AlphaGo, AlphaZero and co-lead on AlphaStar.
Miguel Hernán is a Spanish–American epidemiologist. He is the Director of the CAUSALab, Kolokotrones Professor of Biostatistics and Epidemiology at the Harvard T.H. Chan School of Public Health, and Member of the Faculty at the Harvard–MIT Program in Health Sciences and Technology . Hernán conducts research to learn what works to improve ...
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