h-index is an index that attempts to measure both the productivity and impact of the published work of a scientist or scholar. Here, I am going to tell the way through which you can forecast your future h-index.
[sociallocker]While presenting this tutorial, I consider that you have a good knowledge of R software, which is one of the rapidly rising open source statistics software. You can get the software here,
- http://cran.r-project.org/bin/windows/base/ (Windows)
- http://cran.r-project.org/bin/macosx/ (Mac)
- http://cran.r-project.org/ (Linux)
You need Google Scholar Profile. If you have papers on Google Scholar, you can create your profile here: http://scholar.google.com. Take a look at my profile above.
This profile gives you a unique ID in the URL as shown below for my profile. My ID is “fMhc74wAAAAJ”.
You also need Scholar R package that is available here: http://cran.r-project.org/web/packages/scholar/. Packages can be installed by downloading the zip file for windows. This zip file is then installed into the R software by going to “Packages” menu and “Install package(s) from local zip files”. After installation, you can either go to “Load package” in the “Packages” menu to load “scholar” package or write
in the interface.
You can predict your h-index by writing the following commands in the R software. Here, I have used my ID. You can use yours or any other scientist’s ID.
id <- ” fMhc74wAAAAJ”
hi <- predict_h_index(id)
You can see my future h-index in the picture above. Though, it is only calculated statistically and is not realistic but it can give you some inspiration to do more work.
Formula for this future h-index was presented by Daniel E. Acuna et al. as a comment in the journal Nature (Daniel E. Acuna et al. (2012). Future impact: Predicting scientific success Nature DOI: 10.1038/489201a).[/sociallocker]