From the core sciences performing cutting-edge experiment to the humanities engaged in nuanced philosophical discourse, each field has its own norms, practices, and culture that shape the research process and dissemination of findings.<\/p>\n

Yet despite this diversity, the traditional journal impact factor (JIF) metric aims to evaluate all academic journals through the same narrow lens. While perhaps a reasonable shorthand for disciplines like molecular biology where references accumulate quickly, this approach falls short for many other fields of study. Scholarly work in the humanities, for example, can take years before being cited as ideas percolate gradually. Additionally, in theoretical mathematics or philosophy, the mere advancement of a new theoretical framework can represent ground-breaking impact – regardless of the references accompanying it.<\/p>\n

Addressing the Skewed Distribution of Citation Patterns<\/h2>\n

Ideally, the citation counts for papers published in a journal would follow a relatively normal distribution pattern. However, a few standout papers receive an unusually high number of citations, but the majority cluster around the mean, with a similar number slightly above and below that average. When this holds true, the impact factor acts as a reasonable proxy for the overall influence and readership of a journal.<\/p>\n

But what happens when citation distributions are heavily skewed? When a small handful of papers receive a disproportionately large number of citations compared to the rest of the journal’s output? In this case, those few outlier papers have the ability to single-handedly inflate a journal’s impact factor far beyond what is representative of the typical readership and impact of papers published in that journal.<\/p>\n

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