What question did this study set out to answer?

This research aims to quantify how quickly academic references lose relevance over time in AI domains.

April 7, 20260 citationsOpen Access

Freshness Decay in Academic References: Measuring Citation Shelf Life Across AI Research Domains

This research aims to quantify how quickly academic references lose relevance over time in AI domains.
Analyzed citation patterns across various AI research publications
Utilized bibliometric techniques to measure reference decay
Categorized findings by different AI subfields
Found significant variance in citation decay rates across AI domains
Older references show a marked decrease in citation frequency
Certain AI subfields maintain higher citation relevance over time

Research article: Freshness Decay in Academic References: Measuring Citation Shelf Life Across AI Research Domains

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Oleh Ivchenko (Sun,) studied this question.

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