# Saba Esnaashari

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/saba-esnaashari/

## Facts

| Field | Value |
| --- | --- |
| Citations | 81 |
| Field | Ethics and Social Impacts of AI |
| h-index | 6 |
| i10-index | 3 |
| Last Known Institution | Turing Institute |
| OpenAlex ID | https://openalex.org/A5068114080 |
| ORCID iD | 0009-0004-5874-8270 |
| Works | 12 |

## Researcher papers

- [Generative AI is already widespread in the public sector: evidence from a survey of UK public sector professionals](https://scholariq.org/papers/generative-ai-is-already-widespread-in-the-public-sector-evidence-from-a-survey/)
- [Generative AI is already widespread in the public sector](https://scholariq.org/papers/generative-ai-is-already-widespread-in-the-public-sector/)
- [Unsupervised feature extraction of aerial images for clustering and understanding hazardous road segments](https://scholariq.org/papers/unsupervised-feature-extraction-of-aerial-images-for-clustering-and/)
- [A multidomain relational framework to guide institutional AI research and adoption](https://scholariq.org/papers/a-multidomain-relational-framework-to-guide-institutional-ai-research-and-2/)
- [One in Four UK Doctors Are Using Artificial Intelligence: Exploring Doctors' Perspectives on AI after the Emergence of Large Language Models](https://scholariq.org/papers/one-in-four-uk-doctors-are-using-artificial-intelligence-exploring-doctors/)
- [Understanding the Impacts of Generative AI Use on Children](https://scholariq.org/papers/understanding-the-impacts-of-generative-ai-use-on-children/)
- [Exploring doctors’ perspectives on generative-AI and diagnostic-decision-support systems](https://scholariq.org/papers/exploring-doctors-perspectives-on-generative-ai-and-diagnostic-decision-support/)
- [AI for bureaucratic productivity: Measuring the potential of AI to help automate 143 million UK government transactions](https://scholariq.org/papers/ai-for-bureaucratic-productivity-measuring-the-potential-of-ai-to-help-automate/)
- [A multidomain relational framework to guide institutional AI research and adoption](https://scholariq.org/papers/a-multidomain-relational-framework-to-guide-institutional-ai-research-and/)
- [Unsupervised feature extraction and clustering of aerial images for understanding hazardous road segments](https://scholariq.org/papers/unsupervised-feature-extraction-and-clustering-of-aerial-images-for/)

## Researcher topics

- [Ethics and Social Impacts of AI](https://scholariq.org/topics/ethics-and-social-impacts-of-ai/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)
- [Technology Use by Older Adults](https://scholariq.org/topics/technology-use-by-older-adults/)
- [Qualitative Comparative Analysis Research](https://scholariq.org/topics/qualitative-comparative-analysis-research/)

## Researcher university

- [Turing Institute](https://scholariq.org/institutions/turing-institute/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.