Research impact is often measured using quantitative methods such as citation counts, the h-index, and journal impact factors. It can also be described qualitatively. Currently, there is no one tool or system that completely measures impact. Each database or tool uses its own measurement systems, indices, data and authority files. And it is difficult to use these tools to compare across disciplines that have different research and publication practices. There is no one number to perfectly or “correctly” represent the research impact of an individual or a group of researchers.
Below are some of the more common metrics and tools you can use to measure author and journal impact.
An author's impact on their field or discipline has traditionally been measured using the number of times they have published and the number of times their academic publications are cited by other researchers. Although the simplest way to demonstrate your impact is to create a list of your publications and the number of times they have been cited, numerous algorithms based on publication data have also been created. Below are some of the more common metrics and tools you can use to measure research impact.
Journal impact metrics attempt to quantify the importance of a particular journal in a field. They take into account the number of articles published per year and the number of citations to articles published in a particular journal. These metrics are one factor to consider when deciding on where to publish. Like author impact measurements, journal impact metrics have limitations and no single measure gives a complete assessment. Below are some of the more common metrics and tools you can use to measure journal impact (adapted from UNC Libraries' "Measure Your Research Impact: Journal Impact").