T.F. Cootes

34.4k total citations · 7 hit papers
257 papers, 19.1k citations indexed

About

T.F. Cootes is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Surgery. According to data from OpenAlex, T.F. Cootes has authored 257 papers receiving a total of 19.1k indexed citations (citations by other indexed papers that have themselves been cited), including 166 papers in Computer Vision and Pattern Recognition, 41 papers in Biomedical Engineering and 33 papers in Surgery. Recurrent topics in T.F. Cootes's work include Face recognition and analysis (74 papers), Medical Image Segmentation Techniques (64 papers) and Image Retrieval and Classification Techniques (58 papers). T.F. Cootes is often cited by papers focused on Face recognition and analysis (74 papers), Medical Image Segmentation Techniques (64 papers) and Image Retrieval and Classification Techniques (58 papers). T.F. Cootes collaborates with scholars based in United Kingdom, United States and Australia. T.F. Cootes's co-authors include Chris Taylor, G. Edwards, D. H. Cooper, James Graham, Andreas Lanitis, D. Cristinacce, Carole Twining, Andrew Hill, Claudia Lindner and Jane Haslam and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

T.F. Cootes

246 papers receiving 17.9k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Active Shape Models-Their Training and Application

1995 4.8k citations T.F. Cootes, Chris Taylor et al. profile →
Active appearance models

2001 3.5k citations T.F. Cootes, Chris Taylor et al. profile →
Use of active shape models for locating structures in medical images

1994 593 citations T.F. Cootes, Chris Taylor et al. profile →
Toward automatic simulation of aging effects on face images

2002 581 citations Andreas Lanitis, Chris Taylor et al. profile →
Feature Detection and Tracking with Constrained Local Models

2006 483 citations T.F. Cootes et al. profile →
A minimum description length approach to statistical shape modeling

2002 388 citations Rhodri Davies, Carole Twining et al. profile →
Extraction of visual features for lipreading

2002 369 citations T.F. Cootes et al. profile →

Peers

Countries citing papers authored by T.F. Cootes

Since Specialization

Citations

This map shows the geographic impact of T.F. Cootes'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 T.F. Cootes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.F. Cootes more than expected).

Fields of papers citing papers by T.F. Cootes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.F. Cootes. 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 T.F. Cootes. The network helps show where T.F. Cootes may publish in the future.

Co-authorship network of co-authors of T.F. Cootes

This figure shows the co-authorship network connecting the top 25 collaborators of T.F. Cootes. A scholar is included among the top collaborators of T.F. Cootes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T.F. Cootes. T.F. Cootes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Digits-In-Noise Hearing Test Using Text-to-Speech and Automatic Speech Recognition: Proof-of-Concept Study 2025 ·Trends in Hearing ·(unknown), Kevin J. Munro, Michael A. Stone, David Wong, T.F. Cootes, (unknown)	0
2	Impact of quantified knee positioning on the measurement of minimal joint space width using statistical shape models: A cross-sectional and longitudinal analysis in the IMI-APPROACH 2025 ·(unknown), (unknown), Roel J.H. Custers, Vahid Arbabi, (unknown), Willem Paul Gielis, Claudia Lindner, T.F. Cootes, M. Kloppenburg, Francisco J. Blanco, I.K. Haugen, Francis Bérenbaum, Mylène P. Jansen, S.C. Mastbergen, Frank W. Roemer, F. Eckstein, W. Wirth, Moyo C. Kruyt, Harrie Weinans	0
3	Facial feature point detection under large range of face deformations 2024 ·Journal of Visual Communication and Image Representation ·(unknown), Tim Morris, T.F. Cootes	0
4	Femoral neck width genetic risk score is a novel independent risk factor for hip fractures 2024 ·Journal of Bone and Mineral Research ·Jonathan H. Tobias, Maria Nethander, Benjamin G Faber, (unknown), (unknown), T.F. Cootes, Claudia Lindner, Fiona R. Saunders, J.S. Gregory, R.M. Aspden, Nicholas C. Harvey, John P. Kemp, Monika Frysz, Claes Ohlsson	4
5	Effects of Knee Flexion on Minimal Joint Space Width Increase in Knee Osteoarthritis Patients in the IMI-APPROACH cohort 2024 ·Osteoarthritis and Cartilage ·(unknown), (unknown), (unknown), (unknown), Vahid Arbabi, (unknown), Willem Paul Gielis, Claudia Lindner, T.F. Cootes, M. Kloppenburg, Francisco J. Blanco, I.K. Haugen, Francis Bérenbaum, Mylène P. Jansen, S.C. Mastbergen, W. Wirth, F. Eckstein, Harrie Weinans	1
6	Applications of automatic speech recognition and text-to-speech technologies for hearing assessment: a scoping review 2024 ·International Journal of Audiology ·(unknown), (unknown), Ibrahim Almufarrij, David Wong, T.F. Cootes, Kevin J. Munro	4
7	Dual-energy X-ray absorptiometry derived knee shape may provide a useful imaging biomarker for predicting total knee replacement: Findings from a study of 37,843 people in UK Biobank 2024 ·SHILAP Revista de lepidopterología ·Rhona Beynon, Fiona R. Saunders, (unknown), Monika Frysz, Benjamin G Faber, J.S. Gregory, Claudia Lindner, Aliya Sarmanova, R.M. Aspden, Nicholas C. Harvey, T.F. Cootes, Jonathan H. Tobias	3
8	The genetic architecture of hip shape and its role in the development of hip osteoarthritis and fracture 2024 ·Human Molecular Genetics ·Benjamin G Faber, Monika Frysz, (unknown), Huandong Lin, (unknown), (unknown), Fiona R. Saunders, Rhona Beynon, J.S. Gregory, R.M. Aspden, Nicholas C. Harvey, Claudia Lindner, T.F. Cootes, David M. Evans, George Davey Smith, (unknown), Sijia Wang, John P. Kemp, Jonathan H. Tobias	3
9	A Genome‐Wide Association Study Meta‐Analysis of Alpha Angle Suggests Cam‐Type Morphology May Be a Specific Feature of Hip Osteoarthritis in Older Adults 2023 ·Arthritis & Rheumatology ·Benjamin G Faber, Monika Frysz, April Hartley, (unknown), Cindy G. Boer, Fiona R. Saunders, J.S. Gregory, R.M. Aspden, Nicholas C. Harvey, Lorraine Southam, (unknown), Christine L. Le Maitre, J. Mark Wilkinson, Joyce B. J. van Meurs, Eleftheria Zeggini, T.F. Cootes, Claudia Lindner, John P. Kemp, George Davey Smith, Jonathan H. Tobias	8
10	Comparison between UK Biobank and Shanghai Changfeng suggests distinct hip morphology may contribute to ethnic differences in the prevalence of hip osteoarthritis 2023 ·Osteoarthritis and Cartilage ·(unknown), Monika Frysz, Benjamin G Faber, Huandong Lin, (unknown), (unknown), (unknown), Fiona R. Saunders, J.S. Gregory, R.M. Aspden, Nicholas C. Harvey, Bing‐Hua Jiang, T.F. Cootes, Claudia Lindner, (unknown), Sijia Wang, Jonathan H. Tobias	4
11	Defect Classification and Detection Using a Multitask Deep One-Class CNN 2021 ·IEEE Transactions on Automation Science and Engineering ·Xinghui Dong, Chris Taylor, T.F. Cootes	43
12	A Random Forest-Based Automatic Inspection System for Aerospace Welds in X-Ray Images 2020 ·IEEE Transactions on Automation Science and Engineering ·Xinghui Dong, Chris Taylor, T.F. Cootes	38
13	Machine Learning–Derived Acetabular Dysplasia and Cam Morphology Are Features of Severe Hip Osteoarthritis: Findings From UK Biobank 2020 ·Journal of Bone and Mineral Research ·Monika Frysz, Benjamin G Faber, (unknown), Fiona R. Saunders, Claudia Lindner, J.S. Gregory, R.M. Aspden, Nicholas C. Harvey, T.F. Cootes, Jonathan H. Tobias	13
14	A New Innovative Software to Automatically Outline Condyles In Orthopantomography 2019 ·Vicente Raja, (unknown), (unknown), (unknown), T.F. Cootes, Claudia Lindner	1
15	Automatic Annotation of Radiographs using Random Forest Regression Voting for Building Statistical Models for Skeletal Maturity 2017 ·Research Explorer (The University of Manchester) ·Steve A. Adeshina, Claudia Lindner, T.F. Cootes	1
16	Fully Automatic Cephalometric Evaluation using Random Forest Regression-Voting 2015 ·Research Explorer (The University of Manchester) ·Claudia Lindner, T.F. Cootes	37
17	An information theoretic approach to shape modelling 2001 ·Research Explorer (The University of Manchester) ·Rhodri Davies, T.F. Cootes, Carole Twining, Chris Taylor	3
18	Face recognition using the active appearance model. 1998 ·Research Explorer (The University of Manchester) ·(unknown), Chris Taylor, T.F. Cootes	25
19	Statistical models of face images:Improving specificity. 1996 ·Research Explorer (The University of Manchester) ·(unknown), (unknown), Chris Taylor, T.F. Cootes	4
20	Building and using flexible models using grey-level information 1993 ·Research Explorer (The University of Manchester) ·T.F. Cootes, Chris Taylor, Andreas Lanitis, D. C. Cooper, John M. Graham	2

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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