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Youmna Hashem

ResearcherPublications, citations & collaboration network

Youmna Hashem is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 19 works, 112 citations, an h-index of 7 and an i10-index of 4.

19
Works
112
Citations
7
h-index
4
i10-index

How has Youmna Hashem's publication output changed over time?

ScholarIQpublication output · 2022–2025

Output grew200% over the shown period — from 1 works in 2022 to 3 in 2025.

1
2
4
3
2022202320242025

What are the most-cited papers on Youmna Hashem?

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
Mapping the individual, social and biospheric impacts of Foundation Models
Andrés Domínguez Hernández, Shyam Krishna, Antonella Perini, Michael Katell, SJ Bennett, Ann Borda, Youmna Hashem, Semeli Hadjiloizou, Sabeehah Mahomed, Smera Jayadeva, Mhairi Aitken, David Leslie
202415 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

Related on ScholarIQ

Generative AI is already widespread in the public sector: evidence from a survey of UK public sector professionals
Paper
Mapping the individual, social and biospheric impacts of Foundation Models
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
Key challenges for the participatory governance of AI in public administration
Paper
470M+ articles · free account