There are various ways to measure your research impact. Traditionally, impact has been measured using the number of times your publications have been cited. While citation metrics are commonly used, there are limitations. For example, citation behaviour is discipline dependent, h-index does not account for author placement in the author list, which is of significance to some disciplines, and metrics vary from one data tool to another. Citation metrics need to be used cautiously and within discipline context. For an in-depth exploration of author metrics, try the Introduction to Research Impact tutorial.
There are subscription-based and free services to calculate your h-index. Each tool covers different journals, and the metrics may vary between databases.
|The most widely used research metric. It measures both productivity and citation impact of an author's scholarly output.
|Proposed in 2006 by Leo Egghe as an alternative to the H-index. It adds more weight to highly cited articles.
|Publish or Perish
Calculating h-index example:
————————— h-index = 5 (five articles have at least 5 citations per article)
Maintaining a consistent form of your name is key in distinguishing your research and publishing from the work of others.
E.g., Always using Henry Zhang, not intermixing H. Zhang and Henry Zhang in different papers.
Unique identifiers help consolidate your publications under one author profile (e.g., use ORCiD, ResearchID, Scopus Author Identifier).
Use University of Alberta as your affiliation/location for all publishing, journals, or grant agencies. Ensure your research is credited to you and linked to the University of Alberta.
(E.g., SSHRC, NSERC, CIHR submissions.)