Scholars and scientists often want to know what impact they are having on their field of study. The most traditional way of quantifying this is to determine how many times one's publications have been cited in the literature. Citation indexes make this fairly easy to do, but to ensure accuracy it has to be done correctly and consistently.
The Web of Science platform currently also provides temporary access to several databases that are not part of the Core Collection, including Biosis Citation Index, Data Citation Index, and Zoological Record.
This method is easiest and works fine for most purposes. Its drawbacks include:
Here's how you do it.
Citation metrics are only as reliable as the underlying data. Google Scholar's metrics are generally not reproducible and will differ - sometimes significantly - from data found in Web of Science. Google indexes a different, wider (and largely unknowable) universe of publications. It is very difficult to resolve author name ambiguity.
Use this link to access Google Scholar, and see our Google Scholar Guide for information on using this resource.
If you encounter a warning about the security certificate when using the FindIt@UT tool in Google Scholar, you can learn more about that using this guide.
The h-index is a measure of "citedness" as a proxy for productivity and impact. It is the number of articles h in a group of publications N that have received h or more citations. For example, an h-index of 20 means that there are 20 items in the selected group N that have received 20 or more citations. It is like a median, and useful because it discounts the disproportionate weight of highly cited and uncited papers that would skew a mean.
However, the h-index is not an absolute number and will vary considerably depending on several factors. For example, different databases (e.g. Web of Science vs Google Scholar) cover different segments of the literature and use different methods to count citations.
Comparing h-indexes: An author's number of publications and the length of time they've been active affects the h-index. Older and more prolific authors will usually have higher h-indexes than younger or less prolific authors. If you want to compare your h-index to someone else's, you need to use the same methodology to calculate them and then normalize the values by dividing them by a second factor, e.g. years since PhD. The standard caveats apply when using h-indexes in personnel and funding decisions.
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