<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Bibliometrics | CRiSS-LAB</title><link>https://criss-lab.com/tag/bibliometrics/</link><atom:link href="https://criss-lab.com/tag/bibliometrics/index.xml" rel="self" type="application/rss+xml"/><description>Bibliometrics</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Wed, 25 Feb 2026 00:00:00 +0000</lastBuildDate><image><url>https://criss-lab.com/media/sharing.png</url><title>Bibliometrics</title><link>https://criss-lab.com/tag/bibliometrics/</link></image><item><title>Collective Memory Decay in Science</title><link>https://criss-lab.com/projects/collective-memory-decay-science/</link><pubDate>Wed, 25 Feb 2026 00:00:00 +0000</pubDate><guid>https://criss-lab.com/projects/collective-memory-decay-science/</guid><description>&lt;p>This ANID-FONDECYT Regular 2026 project studies how science remembers and forgets retracted research. The project asks why invalidated studies can continue to be cited and influence scientific agendas after formal correction.&lt;/p>
&lt;p>The research combines large-scale bibliometric data, citation networks, natural language processing, artificial intelligence, statistical physics, and models of collective memory to identify the conditions under which retracted research fades, persists, or spreads.&lt;/p></description></item></channel></rss>