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ResearcherID is an identifying system for scientific authors. The system was introduced in January 2008 by Thomson Reuters Corporation. This unique identifier aims at solving the problem of author identification and correct attribution of works. In scientific and academic literature, it is common to cite the name, surname, and initials of the ...
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 ...
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).
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 ...
v. t. 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 ...
Only about one-third of elementary school students in the U.S. are reading at grade level, according to the recent National Assessment of Educational Progress. In response, many schools are ...
ResearchGate. ResearchGate is a European commercial social networking site for scientists and researchers [2] to share papers, ask and answer questions, and find collaborators. [3] According to a 2014 study by Nature and a 2016 article in Times Higher Education, it is the largest academic social network in terms of active users, [4][5] although ...
has been cited 194 times, according to Google Scholar [7] Wu WB, Zhao Z. Inference of trends in time series. Journal of the Royal Statistical Society, Series B (Statistical Methodology). 2007 Jun;69(3):391-410. (open access) (Cited 172 times, according to Google Scholar. [7]) Shao X, Wu WB. Asymptotic spectral theory for nonlinear time series.