predict_h_index: Predicts the h-index for a researcher

In gottingen411/scholar: Analyse Citation Data from Google Scholar

Description

Predicts the h-index for a researcher each year for ten years into the future using Acuna et al's method (see source). The model was fit to data from neuroscience researchers with an h-index greater than 5 and between 5 to 12 years since publishing their first article. So naturally if this isn't you, then the results should be taken with a large pinch of salt. For more caveats, see http://simplystatistics.org/2012/10/10/whats-wrong-with-the-predicting-h-index-paper/.

Usage

predict_h_index(id, journals)

Arguments

id	a character string giving the Google Scholar ID
journals	optional character vector of top journals. See get_num_top_journals for more details.

Details

Since the model is calibrated to neuroscience researchers, it is entirely possible that very strange (e.g. negative) h-indices will be predicted if you are a researcher in another field. A warning will be displayed if the sequence of predicted h-indices contains a negative value or is non-increasing.

Value

a data frame giving predicted h-index values in future

Note

A scientist has an h-index of n if he or she publishes n papers with at least n citations each. Values returned are fractional so it's up to your own vanity whether you want to round up or down.

Source

DE Acuna, S Allesina, KP Kording (2012) Future impact: Predicting scientific success. Nature 489, 201-202. http://dx.doi.org/10.1038/489201a. Thanks to DE Acuna for providing the full regression coefficients for each year ahead prediction.

Examples

{
   ## Predict h-index of original method author
  id <- "GAi23ssAAAAJ"
  df <- predict_h_index(id)
}

gottingen411/scholar documentation built on June 25, 2020, 12:03 a.m.