# Turing Institute

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/turing-institute/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 65 |
| Citations | 195,755 |
| City | Glasgow |
| Country | GB |
| Description | Turing Institute is a research organisation in Glasgow, GB. OpenAlex records 4,687 works and 195,755 citations for it. 538 researchers list it as their most recent affiliation. |
| OpenAlex ID | https://openalex.org/I125680101 |
| Researchers | 538 |
| ROR ID | https://ror.org/02x2mw849 |
| Type | facility |
| Wikidata ID | https://www.wikidata.org/wiki/Q17056310 |
| Works | 4,687 |

## University papers

- [Guidelines for the use and interpretation of assays for monitoring autophagy](https://scholariq.org/papers/guidelines-for-the-use-and-interpretation-of-assays-for-monitoring-autophagy/)
- [Ischaemic accumulation of succinate controls reperfusion injury through mitochondrial ROS](https://scholariq.org/papers/ischaemic-accumulation-of-succinate-controls-reperfusion-injury-through/)
- [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/)

## University researchers

- [Saba Esnaashari](https://scholariq.org/researchers/saba-esnaashari/)

## University top topics

Showing 8 of 23.

- [Ethics and Social Impacts of AI](https://scholariq.org/topics/ethics-and-social-impacts-of-ai/)
- [Complex Network Analysis Techniques](https://scholariq.org/topics/complex-network-analysis-techniques/)
- [COVID-19 epidemiological studies](https://scholariq.org/topics/covid-19-epidemiological-studies/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Opinion Dynamics and Social Influence](https://scholariq.org/topics/opinion-dynamics-and-social-influence/)
- [Gaussian Processes and Bayesian Inference](https://scholariq.org/topics/gaussian-processes-and-bayesian-inference/)
- [Model Reduction and Neural Networks](https://scholariq.org/topics/model-reduction-and-neural-networks/)
- [Bioinformatics and Genomic Networks](https://scholariq.org/topics/bioinformatics-and-genomic-networks/)

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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.