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H-Index Using Web of Science, SCOPUS, and Google Scholar

Describes an H-index and instructions on formulating one using Web of Science, SCOPUS, and Google Scholar.

H-Index Using Google Scholar

Google Scholar is arguably the easiest and most openly available tool for calculating h-indexes. However, it is not without its shortcomings (explained below). 

  1. Using the default "Articles" search on Google Scholar (https://scholar.google.com/), enter the name of the author (preferably first and last name for common names):

    In this example, we are searching Nasser Kehtarnavaz, faculty member at UTD.
  2. On the results screen, look for a match on the author's name at the top and click their name:

    Note that among the filters along the left side of the page is one for "include patents." Generally speaking, you will want to leave this option unchecked.
     
  3. You will be redirected to the author's profile page:


    Their list of publications will be ranked by default by the number of times they have been cited, most to least. Click "Year" to rank publications chronologically, starting with newest first.

    On the right side of the screen will be two kinds of indexes listed. The h-index will be comparable to the one obtained in Web of Science and SCOPUS. Google Scholar includes one column for the full historic h-index and one calculated for the last five years. Beneath that is the i10-index, which is the number of publications with at least ten citations, both for all time and for the last five years.

    Note: Google Scholar's h-index for an author tends to be inflated compared to ones calculated in SCOPUS and in Web of Science. This is because Google Scholar includes other publications (e.g., books) in its calculations, whereas the other two databases base their calculations on citations in journals and conference proceedings only. Also, Google Scholar will include self-citations (i.e., it has no filter for removing those), and its ability to remove duplicate entries is not always as robust as that in the other databases. In short, bibliometrics calculated in Google Scholar should be regarded with a healthy amount of skepticism.