Do PageRank-based author rankings outperform simple citation counts?
Dalibor Fiala, Lovro \v{S}ubelj, Slavko \v{Z}itnik, Marko Bajec

TL;DR
This study compares PageRank-based author rankings with simple citation counts across large datasets and finds no evidence that PageRank outperforms citation counts in identifying leading researchers.
Contribution
The paper provides an empirical comparison of 12 ranking methods, including PageRank, against citation counts using large datasets and expert-identified top researchers.
Findings
PageRank-based methods do not outperform citation counts.
Simple citation counts are as effective as PageRank for ranking researchers.
No significant advantage of recursive PageRank methods over basic citation metrics.
Abstract
The basic indicators of a researcher's productivity and impact are still the number of publications and their citation counts. These metrics are clear, straightforward, and easy to obtain. When a ranking of scholars is needed, for instance in grant, award, or promotion procedures, their use is the fastest and cheapest way of prioritizing some scientists over others. However, due to their nature, there is a danger of oversimplifying scientific achievements. Therefore, many other indicators have been proposed including the usage of the PageRank algorithm known for the ranking of webpages and its modifications suited to citation networks. Nevertheless, this recursive method is computationally expensive and even if it has the advantage of favouring prestige over popularity, its application should be well justified, particularly when compared to the standard citation counts. In this study,…
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