Bibliographic Resources

MathSciNet

MathSciNet® is an electronic publication offering access to a carefully maintained and easily 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. Authors are uniquely identified (by their MR Author ID), enabling a search for publications by individual author rather than by name string. Continuing in the tradition of the paper publication, Mathematical Reviews (MR), which was first published in 1940, expert reviewers are selected by a staff of professional mathematicians to write reviews of the current published literature; over 80,000 reviews are added to the database each year. Extending the MR tradition, MathSciNet® contains almost 3 million items and over 1.7 million direct links to original articles. Bibliographic data from retrodigitized articles dates back to the early 1800s. Reference lists are collected and matched internally from approximately 550 journals, and citation data for journals, authors, articles and reviews is provided. This web of citations allows users to track the history and influence of research publications in the mathematical sciences.

You can have access by clicking on below mentioned link: https://mathscinet.ams.org/mathscinet/

Web Tutorial link : http://www.mathscinet.info/index.html

 

Web of Science

Your ideal single research destination to explore the citation universe across subjects and around the world. Web of Science provides you access to the most reliable, integrated, multidisciplinary research connected through linked content citation metrics from multiple sources within a single interface. And since Web of Science adheres to a strict evaluation process, you can be assured only the most influential, relevant, and credible information is included - allowing you to uncover your next big idea faster.

Web of Science connects the entire search and discover process through:

  • Premier Multidisciplinary Content
  • Emerging Trends
  • Subject Specific Content
  • Regional Content
  • Research Data
  • Analysis Tools

Web of Science on YouTube

For Searching through complete database click on http://www.webofknowledge.com