TL;DR
This paper introduces a new index for quantifying SSRN downloads that accounts for both total downloads and individual productivity, inspired by the h-index, supported by analysis of extensive author and paper data.
Contribution
The paper presents a novel index for SSRN downloads that combines total downloads and productivity, extending the concept of the h-index to download metrics.
Findings
Empirical formula for SSRN author rank as a Gaussian function of log downloads
Analysis of data from 30,000 authors and 367,000 papers
The index better reflects both popularity and productivity of authors
Abstract
We propose a new index to quantify SSRN downloads. Unlike the SSRN downloads rank, which is based on the total number of an author's SSRN downloads, our index also reflects the author's productivity by taking into account the download numbers for the papers. Our index is inspired by - but is not the same as - Hirsch's h-index for citations, which cannot be directly applied to SSRN downloads. We analyze data for about 30,000 authors and 367,000 papers. We find a simple empirical formula for the SSRN author rank via a Gaussian function of the log of the number of downloads.
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