Eigenfactor: Does the principle of repeated improvement result in better estimates than raw citation counts?

Abstract

Abstract Eigenfactor.org, a journal evaluation tool that uses an iterative algorithm to weight citations (similar to the PageRank algorithm used for Google), has been proposed as a more valid method for calculating the impact of journals. The purpose of this brief communication is to investigate whether the principle of repeated improvement provides different rankings of journals than does a simple unweighted citation count (the method used by the Institute for Scientific Information@ [ISI]).

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 104 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.