Timor Kadir

7.5k total citations · 2 hit papers
64 papers, 4.3k citations indexed

About

Timor Kadir is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Timor Kadir has authored 64 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 23 papers in Radiology, Nuclear Medicine and Imaging and 20 papers in Biomedical Engineering. Recurrent topics in Timor Kadir's work include Radiomics and Machine Learning in Medical Imaging (17 papers), Medical Imaging and Analysis (17 papers) and Medical Image Segmentation Techniques (13 papers). Timor Kadir is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (17 papers), Medical Imaging and Analysis (17 papers) and Medical Image Segmentation Techniques (13 papers). Timor Kadir collaborates with scholars based in United Kingdom, United States and Germany. Timor Kadir's co-authors include Michael Brady, Andrew Zisserman, Luc Van Gool, Krystian Mikolajczyk, C. Schmid, Jiřı́ Matas, Tinne Tuytelaars, F. Schaffalitzky, Fergus Gleeson and Amir Jamaludin 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

Timor Kadir

63 papers receiving 4.1k citations

Hit Papers

A Comparison of Affine Region Detectors 2001 2026 2009 2017 2005 2001 500 1000 1.5k
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.

  1. A Comparison of Affine Region Detectors
    2005 1.9k citations Andrew Zisserman, Timor Kadir et al. profile →
  2. Saliency, Scale and Image Description
    2001 749 citations Timor Kadir et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Timor Kadir United Kingdom 20 2.8k 1.3k 777 565 502 64 4.3k
Aly A. Farag United States 30 3.4k 1.2× 554 0.4× 1.0k 1.3× 699 1.2× 435 0.9× 304 5.2k
Andriy Myronenko United States 14 2.4k 0.8× 911 0.7× 1.3k 1.6× 908 1.6× 250 0.5× 33 4.5k
Supun Samarasekera United States 23 1.7k 0.6× 524 0.4× 519 0.7× 294 0.5× 100 0.2× 82 2.6k
Xavier Lladó Spain 33 2.3k 0.8× 296 0.2× 1.2k 1.5× 976 1.7× 310 0.6× 130 4.1k
Xin Yang China 30 2.0k 0.7× 519 0.4× 1.1k 1.4× 788 1.4× 274 0.5× 154 3.5k
Tal Arbel Canada 25 1.5k 0.5× 176 0.1× 987 1.3× 661 1.2× 143 0.3× 97 2.8k
Greg Slabaugh United Kingdom 30 1.9k 0.7× 173 0.1× 1.2k 1.5× 1.2k 2.1× 332 0.7× 145 4.4k
Chenyang Xu United States 15 3.7k 1.3× 316 0.2× 1.1k 1.4× 623 1.1× 202 0.4× 50 5.1k
Ender Konukoğlu Switzerland 33 1.7k 0.6× 107 0.1× 1.2k 1.5× 868 1.5× 167 0.3× 102 3.8k
Gustavo Carneiro Australia 40 3.3k 1.2× 266 0.2× 1.9k 2.4× 2.9k 5.1× 316 0.6× 179 6.6k

Countries citing papers authored by Timor Kadir

Since Specialization
Citations

This map shows the geographic impact of Timor Kadir'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 Timor Kadir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timor Kadir more than expected).

Fields of papers citing papers by Timor Kadir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timor Kadir. 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 Timor Kadir. The network helps show where Timor Kadir may publish in the future.

Co-authorship network of co-authors of Timor Kadir

This figure shows the co-authorship network connecting the top 25 collaborators of Timor Kadir. A scholar is included among the top collaborators of Timor Kadir 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 Timor Kadir. Timor Kadir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jamaludin, Amir, Sarim Ather, Timor Kadir, et al.. (2025). Automated detection of spinal bone marrow oedema in axial spondyloarthritis: training and validation using two large phase 3 trial datasets. Lara D. Veeken. 64(10). 5446–5454. 1 indexed citations
2.
Jamaludin, Amir, Jeremy Fairbank, Ian Harding, et al.. (2023). Automated measurement of size of spinal curve in population-based cohorts: Validation of a method based on total body dual energy X-ray absorptiometry scans. Bone. 172. 116775–116775. 1 indexed citations
3.
4.
Tiulpin, Aleksei, Simo Saarakkala, Jaakko Niinimäki, et al.. (2022). External Validation of SpineNet, an Open-Source Deep Learning Model for Grading Lumbar Disk Degeneration MRI Features, Using the Northern Finland Birth Cohort 1966. Spine. 48(7). 484–491. 11 indexed citations
5.
6.
Massion, Pierre P., Sanja Antic, Sarim Ather, et al.. (2020). Assessing the Accuracy of a Deep Learning Method to Risk Stratify Indeterminate Pulmonary Nodules. American Journal of Respiratory and Critical Care Medicine. 202(2). 241–249. 109 indexed citations
7.
Kadir, Timor, et al.. (2020). 1190P Automated T1/2-staging of lung cancer patients using deep learning. Annals of Oncology. 31. S784–S784. 1 indexed citations
8.
Mennan, Claire, Alastair Channon, Mark T. Elliott, et al.. (2020). The use of technology in the subcategorisation of osteoarthritis: a Delphi study approach. SHILAP Revista de lepidopterología. 2(3). 100081–100081. 8 indexed citations
9.
Ather, Sarim, Timor Kadir, & Fergus Gleeson. (2019). Artificial intelligence and radiomics in pulmonary nodule management: current status and future applications. Clinical Radiology. 75(1). 13–19. 105 indexed citations
10.
Boukerroui, Djamal, Devis Peressutti, Johan van Soest, et al.. (2018). Can Atlas-Based Auto-Segmentation Ever Be Perfect? Insights From Extreme Value Theory. IEEE Transactions on Medical Imaging. 38(1). 99–106. 22 indexed citations
11.
Jamaludin, Amir, Timor Kadir, & Andrew Zisserman. (2017). SpineNet: Automated classification and evidence visualization in spinal MRIs. Medical Image Analysis. 41. 63–73. 126 indexed citations
12.
13.
Talwar, Arunabh, Fergus Gleeson, Najib M. Rahman, et al.. (2015). Validation Of 4 Models To Estimate The Probability Of Malignancy In Patients With Sub-Centimeter Pulmonary Nodules. American Journal of Respiratory and Critical Care Medicine. 191. 1 indexed citations
14.
Eminowicz, Gemma, R. Mendes, Jamie R. McClelland, et al.. (2015). Validation of clinical acceptability of an atlas‐based segmentation algorithm for the delineation of organs at risk in head and neck cancer. Medical Physics. 42(9). 5027–5034. 46 indexed citations
15.
Modat, Marc, Kelvin K. Leung, M. Jorge Cardoso, et al.. (2013). Using Manifold Learning for Atlas Selection in Multi-Atlas Segmentation. PLoS ONE. 8(8). e70059–e70059. 30 indexed citations
16.
Nicholson, Ann E., et al.. (2013). Bayesian Networks for Clinical Decision Support in Lung Cancer Care. PLoS ONE. 8(12). e82349–e82349. 102 indexed citations
17.
Bañares‐Alcántara, René, et al.. (2012). Lung cancer assistant: An ontology-driven, online decision support prototype for lung cancer treatment selection. CEUR Workshop Proceedings. 849. 8 indexed citations
18.
Bañares‐Alcántara, René, et al.. (2012). Lung Cancer Assistant: an Ontology-Driven, Online Decision Support Prototype.. 3 indexed citations
19.
Kadir, Timor, et al.. (2011). Personalization of Pictorial Structures for Anatomical Landmark Localization. Lecture notes in computer science. 22. 333–345. 7 indexed citations
20.
Kohlberger, Timo, Mustafa Gökhan Uzunbaş, Christopher Alvino, et al.. (2009). Organ Segmentation with Level Sets Using Local Shape and Appearance Priors. Lecture notes in computer science. 12(Pt 2). 34–42. 15 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Aly A. Farag Breakdown of academic impact, for papers by Andriy Myronenko Breakdown of academic impact, for papers by Supun Samarasekera Breakdown of academic impact, for papers by Xavier Lladó Breakdown of academic impact, for papers by Xin Yang Breakdown of academic impact, for papers by Tal Arbel Breakdown of academic impact, for papers by Greg Slabaugh Breakdown of academic impact, for papers by Chenyang Xu Breakdown of academic impact, for papers by Ender Konukoğlu Breakdown of academic impact, for papers by Gustavo Carneiro
Rankless by CCL
2026