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Microsoft Academic

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Microsoft Academic
NameMicrosoft Academic
OwnerMicrosoft

Microsoft Academic is a free academic search engine developed by Microsoft Research and launched in 2009, with the goal of improving the discovery and access to scientific literature and academic research papers, similar to Google Scholar and Semantic Scholar. The platform utilizes natural language processing and machine learning algorithms, developed by researchers at Carnegie Mellon University and Massachusetts Institute of Technology, to provide a comprehensive search experience, indexing papers from top academic journals such as Nature, Science, and Proceedings of the National Academy of Sciences. Microsoft Academic also collaborates with institutions like Harvard University, Stanford University, and University of California, Berkeley to improve its data coverage and accuracy.

Introduction

Microsoft Academic is designed to facilitate the search and retrieval of academic papers and research articles from various fields of study, including computer science, physics, biology, and economics, with a focus on interdisciplinary research and collaboration among researchers from institutions like California Institute of Technology, University of Oxford, and University of Cambridge. The platform provides features such as author profiling, citation analysis, and publication trending, which are also used by academic search engines like PubMed and arXiv. Microsoft Academic's search functionality is powered by Bing and Azure, allowing users to search for papers by author, title, keyword, and publication date, and to filter results by relevance, date, and citation count, similar to Web of Science and Scopus.

History

The development of Microsoft Academic began in 2006, when a team of researchers at Microsoft Research Asia started working on a project to create a comprehensive academic search engine, inspired by the success of Google and Yahoo!. The team collaborated with experts from University of Washington, University of Texas at Austin, and Georgia Institute of Technology to design and develop the platform, which was initially launched as a beta version in 2009, with a focus on computer science and engineering papers from top conferences like ACM SIGGRAPH and IEEE International Conference on Computer Vision. Over the years, Microsoft Academic has undergone several updates and expansions, including the addition of new features and the indexing of papers from more fields of study, such as social sciences and humanities, with contributions from researchers at University of Chicago, Columbia University, and University of California, Los Angeles.

Features

Microsoft Academic offers a range of features that make it a powerful tool for researchers and scholars, including author profiling, which allows users to view an author's publication history, citation count, and co-author network, similar to ResearchGate and Academia.edu. The platform also provides citation analysis, which enables users to track the citation count and impact factor of a particular paper, and to identify trending topics and emerging areas of research, using data from institutions like National Science Foundation and National Institutes of Health. Additionally, Microsoft Academic offers publication trending, which allows users to view the most cited papers and trending topics in a particular field of study, and to explore research collaborations and co-author networks among researchers from institutions like Massachusetts Institute of Technology, Stanford University, and University of California, Berkeley.

Data Coverage

Microsoft Academic has a comprehensive database of academic papers and research articles, with over 200 million papers indexed from top academic journals and conferences, including Nature, Science, and Proceedings of the National Academy of Sciences. The platform also indexes papers from open-access repositories like arXiv and PubMed Central, and from institutions like Harvard University, University of Oxford, and University of Cambridge. Microsoft Academic's data coverage includes papers from a wide range of fields of study, including computer science, physics, biology, and economics, with a focus on interdisciplinary research and collaboration among researchers from institutions like California Institute of Technology, University of Chicago, and Columbia University.

Comparison to Other Academic Search Engines

Microsoft Academic is one of several academic search engines available, including Google Scholar, Semantic Scholar, and PubMed. While each platform has its own strengths and weaknesses, Microsoft Academic is notable for its comprehensive database and advanced search features, which are similar to those offered by Web of Science and Scopus. Microsoft Academic also collaborates with institutions like University of Washington, University of Texas at Austin, and Georgia Institute of Technology to improve its data coverage and accuracy, and to provide a more comprehensive search experience for researchers and scholars.

Impact and Reception

Microsoft Academic has had a significant impact on the academic community, providing a powerful tool for researchers and scholars to discover and access scientific literature and academic research papers, similar to JSTOR and Project MUSE. The platform has been praised for its comprehensive database and advanced search features, which have been developed in collaboration with experts from University of California, Berkeley, University of Michigan, and University of Illinois at Urbana-Champaign. Microsoft Academic has also been recognized for its potential to facilitate collaboration and knowledge sharing among researchers from institutions like Stanford University, Massachusetts Institute of Technology, and University of Oxford, and to support interdisciplinary research and innovation in fields like artificial intelligence, data science, and sustainability.

Category:Academic search engines