Mathematics: MathSciNet

MathSciNet® is a searchable database of reviews, abstracts and bibliographic information for much of the mathematical sciences literature. Over 100,000 new items are added each year, most of them classified according to the Mathematics Subject Classification. MathSciNet collects and matches reference lists from approximately 573 journals, and citation data for journals, authors, articles, and reviews is provided.

Content includes:

• Expert-written reviews of mathematical literature
• More than 3.2 million items
• More than 2 million direct links to original articles from over 1,800 journals
• More than 100,000 new items are added each year

AMS is updating MathSciNet’s interface on June, 2023

1. The MathSciNet YouTube page has new tutorials to get users started.
2. MathSciNet Quickstart Guide shows similar features in a print-friendly format. 
3. Mathematical Reviews Executive Editor Edward Dunne’s new search guide guides users through advanced search features.

For more information about the fields.

For information on item types and labels.

• The codes correspond to the publication content.
• You can combine your code with your search strategy.
• These codes are described as primary and secondary and can be used to narrow your search.  Primary classification have been selected as the most appropriate. For example, 62N10 prepresents Statistics (62), Engineering Statistics (62N) and Quality Control (62N10).
• Broad areas can be searched using 2 or 3 digits of a classification (e.g. 62 or 62N).  For more information, you can look at primary and secondary code.

More Videos,

• MathSciNet  2023 Quick Start
• MathSciNet for Undergraduate and Graduate Students, featuring Mathematical Reviews Editor Ursula Whitcher;
• MathSciNet for Early Career Mathematicians, featuring Mathematical Reviews Editor Andrés Caicedo;
• MathSciNet for Mid-career Mathematicians, featuring Executive Editor Edward Dunne.