# Chris Taylor

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/chris-taylor/

## Facts

| Field | Value |
| --- | --- |
| Citations | 46,458 |
| Field | Medical Image Segmentation Techniques |
| h-index | 87 |
| i10-index | 432 |
| Last Known Institution | St George's, University of London |
| OpenAlex ID | https://openalex.org/A5067224766 |
| ORCID iD | https://orcid.org/0000-0001-7867-9533 |
| Works | 1,204 |

## Researcher papers

- [Evaluation of 3D Correspondence Methods for Model Building](https://scholariq.org/papers/evaluation-of-3d-correspondence-methods-for-model-building/)

## Researcher topics

- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)
- [Image Retrieval and Classification Techniques](https://scholariq.org/topics/image-retrieval-and-classification-techniques/)
- [Cystic Fibrosis Research Advances](https://scholariq.org/topics/cystic-fibrosis-research-advances/)
- [Face recognition and analysis](https://scholariq.org/topics/face-recognition-and-analysis/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Researcher university

- [St George's, University of London](https://scholariq.org/institutions/st-george-s-university-of-london/)

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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.