Chris G. Willcocks

1.3k total citations · 1 hit paper
20 papers, 627 citations indexed

About

Chris G. Willcocks is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Chris G. Willcocks has authored 20 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 8 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Artificial Intelligence. Recurrent topics in Chris G. Willcocks's work include Generative Adversarial Networks and Image Synthesis (5 papers), Medical Image Segmentation Techniques (5 papers) and Computer Graphics and Visualization Techniques (3 papers). Chris G. Willcocks is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (5 papers), Medical Image Segmentation Techniques (5 papers) and Computer Graphics and Visualization Techniques (3 papers). Chris G. Willcocks collaborates with scholars based in United Kingdom, Saudi Arabia and Switzerland. Chris G. Willcocks's co-authors include Toby P. Breckon, Samet Akçay, Mikolaj Kundegorski, Sebastian M. Schmon, Yang Long, Hubert P. H. Shum, Venkata Krishnan Ramaswamy, Matteo T. Degiacomi, Bogusław Obara and Ling Shao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Chris G. Willcocks

20 papers receiving 608 citations

Hit Papers

AnoDDPM: Anomaly Detection with Denoising Diffusion Proba... 2022 2026 2023 2024 2022 50 100 150
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. AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise
    2022 164 citations Sebastian M. Schmon, Chris G. Willcocks et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris G. Willcocks United Kingdom 9 319 232 153 131 54 20 627
Mohammed El Hassouni Morocco 16 374 1.2× 141 0.6× 54 0.4× 72 0.5× 21 0.4× 100 846
Hasan Şakir Bılge Türkiye 10 406 1.3× 267 1.2× 138 0.9× 106 0.8× 19 0.4× 76 879
Guanghui Yue China 19 517 1.6× 269 1.2× 241 1.6× 78 0.6× 40 0.7× 87 1.0k
Leiting Chen China 14 330 1.0× 228 1.0× 131 0.9× 39 0.3× 10 0.2× 99 674
L. Jani Anbarasi India 13 208 0.7× 165 0.7× 161 1.1× 25 0.2× 43 0.8× 87 493
Raja Bala United States 13 637 2.0× 145 0.6× 74 0.5× 77 0.6× 38 0.7× 63 876
Kun Wei China 15 521 1.6× 451 1.9× 90 0.6× 36 0.3× 18 0.3× 46 848

Countries citing papers authored by Chris G. Willcocks

Since Specialization
Citations

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

Fields of papers citing papers by Chris G. Willcocks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris G. Willcocks. 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 G. Willcocks. The network helps show where Chris G. Willcocks may publish in the future.

Co-authorship network of co-authors of Chris G. Willcocks

This figure shows the co-authorship network connecting the top 25 collaborators of Chris G. Willcocks. A scholar is included among the top collaborators of Chris G. Willcocks 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 Chris G. Willcocks. Chris G. Willcocks 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.
Shum, Hubert P. H., et al.. (2024). Repeat and Concatenate: 2D to 3D Image Translation with 3D to 3D Generative Modeling. Durham Research Online (Durham University). 2315–2324. 2 indexed citations
2.
Bhowmik, Neelanjan, et al.. (2023). Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers. Durham Research Online (Durham University). 14539–14548. 2 indexed citations
3.
Duan, Haoran, et al.. (2023). Dynamic Unary Convolution in Transformers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 1–13. 31 indexed citations
4.
Willcocks, Chris G., et al.. (2023). Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields. 66–75. 8 indexed citations
5.
Bhowmik, Neelanjan, et al.. (2022). Cross-modal Image Synthesis within Dual-Energy X-ray Security Imagery. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 332–340. 8 indexed citations
6.
Shum, Hubert P. H., et al.. (2022). MedNeRF: Medical Neural Radiance Fields for Reconstructing 3D-aware CT-Projections from a Single X-ray. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 3843–3848. 43 indexed citations
7.
Willcocks, Chris G., et al.. (2022). Multi-view Vision Transformers for Object Detection. 2022 26th International Conference on Pattern Recognition (ICPR). 4678–4684. 1 indexed citations
8.
Schmon, Sebastian M., et al.. (2022). AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 649–655. 164 indexed citations breakdown →
9.
Ramaswamy, Venkata Krishnan, et al.. (2021). Deep Learning Protein Conformational Space with Convolutions and Latent Interpolations. Physical Review X. 11(1). 26 indexed citations
10.
Willcocks, Chris G., et al.. (2021). Real Time Fencing Move Classification and Detection at Touch Time during a Fencing Match. Durham Research Online (Durham University). abs 1804 2767. 5760–5766. 1 indexed citations
11.
Feldman, Arthur M., et al.. (2021). Unsupervised Region-Based Anomaly Detection In Brain MRI With Adversarial Image Inpainting. Durham Research Online (Durham University). 1127–1131. 21 indexed citations
12.
Willcocks, Chris G., et al.. (2021). Multi-view Object Detection Using Epipolar Constraints within Cluttered X-ray Security Imagery. Durham Research Online (Durham University). 9889–9896. 12 indexed citations
13.
Long, Yang, et al.. (2021). Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(11). 7327–7347. 34 indexed citations
14.
Alhasson, Haifa F., et al.. (2020). The relationship between curvilinear structure enhancement and ridge detection methods. The Visual Computer. 37(8). 2263–2283. 2 indexed citations
15.
Willcocks, Chris G., et al.. (2019). Sequential graph-based extraction of curvilinear structures. Signal Image and Video Processing. 13(5). 941–949. 1 indexed citations
16.
Akçay, Samet, Mikolaj Kundegorski, Chris G. Willcocks, & Toby P. Breckon. (2018). Using Deep Convolutional Neural Network Architectures for Object Classification and Detection Within X-Ray Baggage Security Imagery. IEEE Transactions on Information Forensics and Security. 13(9). 2203–2215. 237 indexed citations
17.
Willcocks, Chris G., et al.. (2017). Multi-Scale Segmentation and Surface Fitting for Measuring 3-D Macular Holes. IEEE Transactions on Medical Imaging. 37(2). 580–589. 16 indexed citations
18.
Willcocks, Chris G., et al.. (2017). Interactive GPU active contours for segmenting inhomogeneous objects. Journal of Real-Time Image Processing. 16(6). 2305–2318. 2 indexed citations
19.
Willcocks, Chris G., et al.. (2016). Extracting 3D Parametric Curves from 2D Images of Helical Objects. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(9). 1757–1769. 8 indexed citations
20.
Willcocks, Chris G. & Frederick W. B. Li. (2012). Feature-varying skeletonization. The Visual Computer. 28(6-8). 775–785. 8 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 Mohammed El Hassouni Breakdown of academic impact, for papers by Hasan Şakir Bılge Breakdown of academic impact, for papers by Guanghui Yue Breakdown of academic impact, for papers by Leiting Chen Breakdown of academic impact, for papers by L. Jani Anbarasi Breakdown of academic impact, for papers by Raja Bala Breakdown of academic impact, for papers by Kun Wei
Rankless by CCL
2026