Mathematics and Statistics

Welcome to the Mathematics and Statistics Subject page. This page lists the key information resources available from the library for the subject area although interdisciplinary research topics may need to consult with other related areas.

arXiv.org

Publication coverage: 1991 - present (updated daily)

The arXiv database contains e-prints (working papers) in the fields of astrophysics, physics, mathematics and statistics, non-linear science, computer science, quantitative biology, quantitative finance, economics, and electrical engineering.

Compendex

Publication coverage: 1884 - present (updated weekly)

Ei Compendex is the world's most comprehensive engineering literature database.

MathSciNet

Publication coverage: 1940-

MathSciNet is a searchable online bibliographic database created by the American Mathematical Society in 1996.

Oxford Reference Online - Science

Publication coverage: Varies by publication.

A collection of 50 reference titles published by Oxford University Press. Includes dictionaries and encyclopedias (with over 210,000 entries) in the science and engineering disciplines.

Web of Science

Publication coverage: Science Citation Index: 1900 - present ; Social Sciences Citation Index: 1956 - present ; Arts and Humanities: 1975 - present

A large, multidisciplinary database, Web of Science provides access to bibliographic information, author abstracts, and cited references from scholarly journals and conference proceedings. A cited reference search enables you to find articles that cite a previously published work.
Student presenting at Inquiry@Queens
Call for Presenters: I@Q Undergraduate Research Conference

Share your research, creative projects, experiential learning experiences and inquiry projects with the Queen's community. Undergraduate students from any discipline are invited to submit an abstract for the 13th Annual I@Q Undergraduate Research Conference to be held March 7th and 8...

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We received funding from CANARIE

We are pleased to announce that the project “Dataverse for the Canadian Research Community: Developing reusable and scalable tools for data deposit, curation, and sharing” has recently received funding from the CANARIE Research Data Management (RDM) fund.

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