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How has Saba Esnaashari's publication output changed over time?
ScholarIQpublication output · 2023–2025
Output declined50% over the shown period — from 4 works in 2023 to 2 in 2025.
4
4
2
202320242025
What are the most-cited papers on Saba Esnaashari?
ScholarIQmost cited works
Generative AI is already widespread in the public sector: evidence from a survey of UK public sector professionals
Jonathan Bright, Florence E. Enock, Saba Esnaashari, John Francis, Youmna Hashem, Deborah Morgan
Digital Government Research and Practice. 202426 CitationsOPEN ACCESS
Generative AI is already widespread in the public sector
Jonathan Bright, Florence E. Enock, Saba Esnaashari, John Francis, Youmna Hashem, Deborah Morgan
arXiv (Cornell University). 202412 CitationsOPEN ACCESS
Unsupervised feature extraction of aerial images for clustering and understanding hazardous road segments
John Francis, Jonathan Bright, Saba Esnaashari, Youmna Hashem, Deborah Morgan, Vincent J. Straub
Scientific Reports. 202311 CitationsOPEN ACCESS
A multidomain relational framework to guide institutional AI research and adoption
Vincent J. Straub, Deborah Morgan, Youmna Hashem, John Francis, Saba Esnaashari, Jonathan Bright
20239 CitationsOPEN ACCESS
One in Four UK Doctors Are Using Artificial Intelligence: Exploring Doctors' Perspectives on AI after the Emergence of Large Language Models
Youmna Hashem, Saba Esnaashari, John E. Francis, Deborah Morgan, Anton Poletaev, Jonathan Bright
SSRN Electronic Journal. 20247 CitationsOPEN ACCESS
Related on ScholarIQ
Turing Institute
Institution
Generative AI is already widespread in the public sector: evidence from a survey of UK public sector professionals
Paper
Generative AI is already widespread in the public sector
Paper
Unsupervised feature extraction of aerial images for clustering and understanding hazardous road segments
Paper
A multidomain relational framework to guide institutional AI research and adoption
Paper
One in Four UK Doctors Are Using Artificial Intelligence: Exploring Doctors' Perspectives on AI after the Emergence of Large Language Models
Paper