You can use a database to find articles related to your topic. A database will search across hundreds or even thousands of journals at once. U of T subscribes to multiple article databases that you can use to find articles from journals, conference proceedings, technical reports, and other sources of information.
Search these databases using keywords or combinations of keywords to find articles on your topic (be sure to try different combinations) to use Boolean Operators (such as AND, OR, using brackets) to combine your keywords. "OR" is useful for grouping synonyms and related terms together, e.g., sensor or sensing.
Below are a list of some popular databases to use for engineering topics. You can use these databases to find resources such as journal articles.
You can save your citation information to a citation manager, like RefWorks. Check out the videos below or visit the ECSL Reference Desk to get tips and tricks on using these databases.
Got a great article or book? Check the references and look up the resource using following online tools:
Many databases have direct full-text links to the article online. If there is no full-text link, you must look up the journal or conference title in the UTL Catalogue.
Most indexes now have a UTL 'Get It!" button. Use this link to find online copies or to search the library catalogue automatically.
For more information on the peer review process, please see the Peer Review Guide
(including how to use Ulrich's Periodical Directory)
Scopus is a major multidisciplinary database for the social sciences, life sciences, health sciences, physical sciences, and arts and humanities.
The sorting options can be found in the upper right corner of your search results.
On the search results page, you can choose from many different types of filters (date, author, keyword ). With the Document Type filter, you can click to just view:
With the Keyword filter, you can click to view the major topics associated with your search results and the exact number of articles that are tagged with that keyword.
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