Yasmin AlNoamany

Papers

Total Citations

H-Index

About

Yasmin AlNoamany is a leading researcher in web archiving and digital preservation, with a focus on understanding how users—both humans and automated agents—interact with archived web content. Her major contributions center on characterizing access patterns in web archives, particularly through her highly cited work on the Internet Archive’s Wayback Machine. In her 2013 paper, she identified fundamental user behaviors such as “dips” (single accesses) and “slides” (sequential browsing), providing the first systematic taxonomy of how robots and humans navigate archived websites. Her 2014 study further explored the external links and referrers driving traffic to the Internet Archive, revealing the diverse sources—from social media to academic citations—that connect to these digital repositories. With over 70 citations across her key papers, AlNoamany’s research has become foundational for designing more efficient archival systems and understanding the evolving role of web archives in scholarship and public memory. Her work is essential reading for anyone studying digital libraries, information retrieval, or the long-term accessibility of online content.