Chris Taylor

46.4k citations
639 papers · 26.3k indexed · 6 hit papers · h-index 67

Chris Taylor

598 papers receiving 24.7k citations

Hit Papers

Medical Image Computing and Computer-Assisted...1.3k199420262004201510002.0k3.0k4.0k

Peers

Chris Taylor
Comparison fields: 5 of 236
  • Computer Vision and Pattern Recognition 14.2k
  • Signal Processing 2.1k
  • Radiology, Nuclear Medicine and Imaging 3.2k
  • Geometry and Topology 940
  • Human-Computer Interaction 598
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Citations per field
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Citations per year

Countries citing papers authored by Chris Taylor

Since Specialization
Citations

This map shows the geographic impact of Chris Taylor's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chris Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Taylor more than expected).

Fields of papers citing papers by Chris Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris Taylor. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chris Taylor. The network helps show where Chris Taylor may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Chris Taylor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chris Taylor Line = papers co-authored together Chris Taylor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20246
4 202143
5 202038
6 201752
7 20178
8 20161
9
Appearance and Understanding of Digital Breast Tomosynthesis Images.
20151
10
Medical Image Computing and Computer-Assisted Interventionbreakdown →
20091263
11
Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
200913
12
Right for the Right Reasons
200715
13 200015
14
Automatically building appearance models.
20006
15
Face recognition using the active appearance model.
199825
16
Statistical models of face images:Improving specificity.
19964
17 199662
18
Locating facial features using genetic algorithms.
19955
19
Solving inverse problems in computer vision by scale space reconstruction
19948
20
Effect of Format on Information and Problem Solving
19913

About Chris Taylor

Chris Taylor is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Geometry and Topology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 639 papers that have together received 26.3k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (85 papers), Image Retrieval and Classification Techniques (75 papers), Cystic Fibrosis Research Advances (51 papers), Face recognition and analysis (49 papers), Face and Expression Recognition (35 papers), AI in cancer detection (35 papers), 3D Shape Modeling and Analysis (30 papers) and Systemic Sclerosis and Related Diseases (27 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (14.2k citations), Signal Processing (2.1k citations), Radiology, Nuclear Medicine and Imaging (3.2k citations), Geometry and Topology (940 citations) and Human-Computer Interaction (598 citations). Chris Taylor has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include T.F. Cootes, G. Edwards, D. H. Cooper, James Graham, Andreas Lanitis, Andrew Hill, Daniel Rueckert, Carole Twining, David J. Hawkes and Gao Yang. Their work appears in journals such as Image and Vision Computing, Journal of Pediatric Gastroenterology and Nutrition, Lara D. Veeken, Archives of Disease in Childhood and Journal of Cystic Fibrosis.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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