Thomas Bashford‐Rogers

496 total citations
47 papers, 318 citations indexed

About

Thomas Bashford‐Rogers is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence. According to data from OpenAlex, Thomas Bashford‐Rogers has authored 47 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 14 papers in Computer Graphics and Computer-Aided Design and 7 papers in Artificial Intelligence. Recurrent topics in Thomas Bashford‐Rogers's work include Image Enhancement Techniques (19 papers), Advanced Vision and Imaging (15 papers) and Computer Graphics and Visualization Techniques (14 papers). Thomas Bashford‐Rogers is often cited by papers focused on Image Enhancement Techniques (19 papers), Advanced Vision and Imaging (15 papers) and Computer Graphics and Visualization Techniques (14 papers). Thomas Bashford‐Rogers collaborates with scholars based in United Kingdom, Portugal and United States. Thomas Bashford‐Rogers's co-authors include Kurt Debattista, Alan Chalmers, Carlo Harvey, Elmedin Selmanović, Maximino Bessa, Francesco Banterle, Alessandro Artusi, Jassim Happa, Marina Bloj and Sadie Creese and has published in prestigious journals such as IEEE Access, ACM Transactions on Graphics and IEEE Transactions on Industrial Informatics.

In The Last Decade

Thomas Bashford‐Rogers

45 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Bashford‐Rogers United Kingdom 11 206 62 41 34 34 47 318
M. Masry United States 11 304 1.5× 52 0.8× 19 0.5× 30 0.9× 58 1.7× 23 374
Tiancheng Sun United States 8 261 1.3× 141 2.3× 32 0.8× 33 1.0× 19 0.6× 19 354
Jieun Lee South Korea 9 95 0.5× 44 0.7× 21 0.5× 32 0.9× 51 1.5× 53 295
Maria Shugrina Canada 9 157 0.8× 69 1.1× 21 0.5× 5 0.1× 45 1.3× 13 326
Nanxuan Zhao Hong Kong 15 371 1.8× 68 1.1× 15 0.4× 20 0.6× 65 1.9× 36 507
António Augusto de Sousa Portugal 10 110 0.5× 45 0.7× 12 0.3× 12 0.4× 110 3.2× 33 291
Mohamed–Chaker Larabi France 10 420 2.0× 56 0.9× 41 1.0× 173 5.1× 28 0.8× 79 490
Bruce Culbertson United States 10 374 1.8× 94 1.5× 11 0.3× 107 3.1× 102 3.0× 19 477
Swaminathan Gurumurthy United States 8 178 0.9× 32 0.5× 36 0.9× 20 0.6× 6 0.2× 13 357
Yael Moses Israel 11 515 2.5× 41 0.7× 8 0.2× 44 1.3× 12 0.4× 25 595

Countries citing papers authored by Thomas Bashford‐Rogers

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Bashford‐Rogers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Bashford‐Rogers. 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 Thomas Bashford‐Rogers. The network helps show where Thomas Bashford‐Rogers may publish in the future.

Co-authorship network of co-authors of Thomas Bashford‐Rogers

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Bashford‐Rogers. A scholar is included among the top collaborators of Thomas Bashford‐Rogers 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 Thomas Bashford‐Rogers. Thomas Bashford‐Rogers 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.
Debattista, Kurt, et al.. (2025). A comprehensive survey of image synthesis approaches for Deep Learning-based surface defect detection in manufacturing. Computers in Industry. 173. 104360–104360. 1 indexed citations
2.
Peng, Jingchao, Thomas Bashford‐Rogers, Francesco Banterle, Haitao Zhao, & Kurt Debattista. (2025). HDRT: A large-scale dataset for infrared-guided HDR imaging. Information Fusion. 120. 103109–103109.
3.
Wang, Yi‐Ting, et al.. (2024). Exploring Generative AI for Sim2Real in Driving Data Synthesis. Warwick Research Archive Portal (University of Warwick). 3071–3077. 5 indexed citations
4.
Bashford‐Rogers, Thomas, et al.. (2024). A multi-timescale image space model for dynamic cloud illumination. Computers & Graphics. 126. 104124–104124.
5.
Banterle, Francesco, et al.. (2024). Self-supervised High Dynamic Range Imaging: What Can Be Learned from a Single 8-bit Video?. ACM Transactions on Graphics. 43(2). 1–16. 4 indexed citations
6.
Bashford‐Rogers, Thomas, et al.. (2024). Deep Learning Approach for automatic detection of split defects on sheet metal stamping parts. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 239(1-2). 29–39. 1 indexed citations
7.
Bashford‐Rogers, Thomas, et al.. (2023). HDR image-based deep learning approach for automatic detection of split defects on sheet metal stamping parts. The International Journal of Advanced Manufacturing Technology. 125(5-6). 2393–2408. 17 indexed citations
8.
Bashford‐Rogers, Thomas, et al.. (2023). Generating Synthetic Training Images to Detect Split Defects in Stamped Components. IEEE Transactions on Industrial Informatics. 20(3). 4816–4827. 7 indexed citations
9.
Kettunen, Markus, et al.. (2023). Conditional Resampled Importance Sampling and ReSTIR. 1–11. 3 indexed citations
10.
Bashford‐Rogers, Thomas, et al.. (2022). A Wide Spectral Range Sky Radiance Model. Computer Graphics Forum. 41(7). 291–298. 2 indexed citations
11.
Wilkie, Alexander, et al.. (2021). A fitted radiance and attenuation model for realistic atmospheres. ACM Transactions on Graphics. 40(4). 1–14. 14 indexed citations
12.
Happa, Jassim, et al.. (2021). Deception in Network Defences Using Unpredictability. Oxford University Research Archive (ORA) (University of Oxford). 2(4). 1–26. 5 indexed citations
13.
Bashford‐Rogers, Thomas, et al.. (2020). Per-pixel classification of clouds from whole sky HDR images. Signal Processing Image Communication. 88. 115950–115950. 5 indexed citations
14.
Debattista, Kurt, et al.. (2019). Audio-Visual-Olfactory Resource Allocation for Tri-modal Virtual Environments. IEEE Transactions on Visualization and Computer Graphics. 25(5). 1865–1875. 11 indexed citations
15.
Happa, Jassim, Thomas Bashford‐Rogers, Ioannis Agrafiotis, Michael Goldsmith, & Sadie Creese. (2019). Anomaly Detection Using Pattern-of-Life Visual Metaphors. IEEE Access. 7. 154018–154034. 3 indexed citations
16.
Debattista, Kurt, et al.. (2018). Uniform Color Space-Based High Dynamic Range Video Compression. IEEE Transactions on Circuits and Systems for Video Technology. 29(7). 2055–2066. 11 indexed citations
17.
Debattista, Kurt, et al.. (2016). An evaluation of power transfer functions for HDR video compression. The Visual Computer. 34(2). 167–176. 6 indexed citations
18.
Debattista, Kurt, et al.. (2015). Optimal exposure compression for high dynamic range content. The Visual Computer. 31(6-8). 1089–1099. 16 indexed citations
19.
Bashford‐Rogers, Thomas, Kurt Debattista, Carlo Harvey, & Alan Chalmers. (2011). Approximate Visibility Grids for Interactive Indirect Illumination. 26. 55–62. 2 indexed citations
20.
Debattista, Kurt, et al.. (2009). Time-constrained High-fidelity Rendering on Local Desktop Grids. Eurographics. 103–110. 3 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.

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