How profiles are built
Scopus data follows the simple model that articles are written by researchers who are affiliated with institutions. Powerful algorithmic data processing matches articles to existing author profiles with a high degree of accuracy based on name, email, affiliation, subject area, citations and co-authors. A profile is created automatically when two or more articles are linked to one name.
Scopus gets daily updates to its content from thousands of publishers, which it uses to generate new author profiles and update existing ones.
Scopus Researcher Discovery
With the Scopus Researcher Discovery feature, subscribed users can perform a keyword search to identify relevant researchers and quickly build a view of the individuals contributing to a particular field.
Request profile updates
Despite the sophisticated algorithmic profiling used by Scopus, algorithms in general can rarely match all documents to a single profile with 100% accuracy. This is why our free Scopus Author Feedback Wizard(opens in new tab/window) allows researchers to review their Scopus profiles and submit feedback, including the ability to:
Set a preferred name
Add and remove documents
Author metrics may be used for tenure and promotion applications, grant proposals and other research performance-based decisions; therefore, it is important to ensure each researcher's profile correctly reflects their publishing information.