Predict h-index from a Google Scholar profile

CiteVector forecasts how each of a researcher's papers will keep gathering citations, then recomputes the h-index, i10-index and total citations at each year-end for the next five years. It works on any public Google Scholar profile, with no sign-in.

What the forecast shows

How the prediction works

Each paper is projected with Equation 3 of Wang, Song and Barabási, "Quantifying long-term scientific impact" (Science, 2013). The equation describes a paper's cumulative citations through three quantities: fitness (how attractive the paper is), immediacy (how soon it peaks) and longevity (how slowly it fades).

A Google Scholar profile gives only each paper's current citation count and publication year, not the dates of individual citations. So immediacy and longevity are held at the typical values reported in that paper, and fitness is solved so the curve passes exactly through the paper's current count. The h-index for a future year is then the h-index of the projected per-paper counts at that year-end, anchored so the current year matches the h-index Scholar shows today. The full formula and parameter choices are on the methods page.

Limits of an h-index prediction

Treat the result as an estimate, not a promise. Past values on the projection chart are model reconstructions; for the h-index Scholar actually displayed on earlier dates, use the h-index history.

Try an example

Open the Geoffrey Hinton example dashboard to see the projection charts.