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Mathematics

Scholarly sources for Math research

Scholarly sources, which are normally published in journals, as book chapters, or in conference proceedings, usually cover specific topics at a fairly deep level. In Mathematics, scholarly sources may include research papers, conference proceedings, or pre-print material (not yet peer reviewed). 

From this page you can 

  • See recommended databases for Mathematics, where you can search for articles by title, author or topic 
  • Access journals in Mathematics and Statistics, to browse recent issues and see what scholars are discussing there 
  • Learn how to request resources through interlibrary loan

What is a database and why use one

What is a scholarly database? 

A scholarly database organizes the best quality, most relevant information for a field or discipline in one place so it can be searched. Because there is so much scholarly research and so many different fields, databases specialize in which kinds of information or tools they provide. 

Why use a scholarly database? 

Scholarly databases take into account the important publications and research methods of a field or discipline. The database helps you make choices about which articles you want to see - by subject, dates of publication, overall topic, and more. Google and Google Scholar, while vast, do no quality control on the content they provide or give you good tools to narrow your focus. 

Recommended databases for Math

MathSciNet is the database supported by the American Mathematical Society. It is usually search by author or journal title. Review the tutorial on the database tutorials page to learn how to search it by topic. 

Project Euclid is a mathematics research database that small, independent scholarly journals. 

arXiv is a database of pre-print research articles in math, physics, and other topics. Pre-print means that the content is not in its final, published form, so the full recommendations from peer reviewers are not present. This is one way in which Mathematics differs from other disciplines - arXiv is a valuable resource without full peer-review. 

Find additional databases on our A-Z Databases page. Or search for articles by author, title or topic through Articles+ in the Library Catalog. 

Find top Mathematics and Statistics journals

How to use Interlibrary Loan