Derek Bradley

5.3k total citations · 1 hit paper
79 papers, 3.5k citations indexed

About

Derek Bradley is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Derek Bradley has authored 79 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Computer Vision and Pattern Recognition, 37 papers in Computational Mechanics and 26 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Derek Bradley's work include Advanced Vision and Imaging (37 papers), 3D Shape Modeling and Analysis (35 papers) and Face recognition and analysis (34 papers). Derek Bradley is often cited by papers focused on Advanced Vision and Imaging (37 papers), 3D Shape Modeling and Analysis (35 papers) and Face recognition and analysis (34 papers). Derek Bradley collaborates with scholars based in United States, Switzerland and Canada. Derek Bradley's co-authors include Gerhard Roth, Thabo Beeler, Wolfgang Heidrich, Markus Groß, Alla Sheffer, Tiberiu Popa, Tamy Boubekeur, Bernd Bickel, Paul Beardsley and Prashanth Chandran and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, ACM Transactions on Graphics and The Gerontologist.

In The Last Decade

Derek Bradley

76 papers receiving 3.3k citations

Hit 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.

Adaptive Thresholding using the Integral Image

2007 973 citations Derek Bradley, Gerhard Roth profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Derek Bradley United States	31	2.4k	1.1k	668	371	243	79	3.5k
Haoqiang Fan China	21	2.9k 1.2×	1.0k 0.9×	558 0.8×	535 1.4×	472 1.9×	39	3.9k
Zhirong Wu China	14	3.1k 1.3×	1.9k 1.7×	578 0.9×	151 0.4×	173 0.7×	37	5.3k
Derek Nowrouzezahrai Canada	30	2.1k 0.9×	1.0k 0.9×	1.6k 2.4×	257 0.7×	240 1.0×	113	3.0k
Enrico Gobbetti Italy	30	2.1k 0.9×	885 0.8×	1.7k 2.6×	143 0.4×	205 0.8×	238	3.5k
Steve Marschner United States	35	1.8k 0.8×	1.9k 1.7×	2.1k 3.2×	236 0.6×	144 0.6×	102	4.0k
Jingyi Yu China	37	4.4k 1.8×	826 0.7×	1.1k 1.6×	185 0.5×	817 3.4×	219	5.3k
Bodo Rosenhahn Germany	34	3.3k 1.4×	677 0.6×	205 0.3×	604 1.6×	163 0.7×	205	4.5k
Dan B Goldman United States	34	5.2k 2.2×	751 0.7×	1.4k 2.1×	205 0.6×	547 2.3×	59	5.9k
Andreas Kolb Germany	29	1.8k 0.8×	606 0.5×	526 0.8×	110 0.3×	262 1.1×	139	3.4k
Yongming Rao China	29	2.4k 1.0×	828 0.7×	346 0.5×	93 0.3×	325 1.3×	49	3.4k

Countries citing papers authored by Derek Bradley

Since Specialization

Citations

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

Fields of papers citing papers by Derek Bradley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Derek Bradley

This figure shows the co-authorship network connecting the top 25 collaborators of Derek Bradley. A scholar is included among the top collaborators of Derek Bradley 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 Derek Bradley. Derek Bradley 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

1.

Otto, Claudia, et al.. (2025). Multimodal Conditional 3D Face Geometry Generation. Computers & Graphics. 132. 104325–104325. 1 indexed citations

2.

Chandran, Prashanth, et al.. (2024). Learning a Generalized Physical Face Model From Data. ACM Transactions on Graphics. 43(4). 1–14. 2 indexed citations

3.

Chandran, Prashanth, et al.. (2024). Stylize My Wrinkles: Bridging the Gap from Simulation to Reality. Computer Graphics Forum. 43(2).

4.

Otto, Claudia, et al.. (2023). A Perceptual Shape Loss for Monocular 3D Face Reconstruction. Computer Graphics Forum. 42(7). 2 indexed citations

5.

Otto, Claudia, Jacek Naruniec, Prashanth Chandran, et al.. (2022). Learning Dynamic 3D Geometry and Texture for Video Face Swapping. Computer Graphics Forum. 41(7). 611–622. 4 indexed citations

6.

Chandran, Prashanth, et al.. (2022). Facial hair tracking for high fidelity performance capture. ACM Transactions on Graphics. 41(4). 1–12. 7 indexed citations

7.

Bradley, Derek, et al.. (2022). ABBA Voyage: High Volume Facial Likeness and Performance Pipeline. 1–2. 1 indexed citations

8.

Rivière, Jérémy, Paulo Gotardo, Derek Bradley, Abhijeet Ghosh, & Thabo Beeler. (2020). Single-shot high-quality facial geometry and skin appearance capture. ACM Transactions on Graphics. 39(4). 41 indexed citations

9.

Sifakis, Eftychios, et al.. (2020). Data-driven extraction and composition of secondary dynamics in facial performance capture. ACM Transactions on Graphics. 39(4). 2 indexed citations

10.

Chandran, Prashanth, Derek Bradley, Markus Groß, & Thabo Beeler. (2020). Semantic Deep Face Models. Repository for Publications and Research Data (ETH Zurich). 345–354. 23 indexed citations

11.

Papas, Marios, Derek Bradley, Paulo Gotardo, et al.. (2018). Appearance capture and modeling of human teeth. ACM Transactions on Graphics. 37(6). 1–13. 19 indexed citations

12.

McDonagh, Steven, et al.. (2017). Real-Time Multi-View Facial Capture with Synthetic Training. Computer Graphics Forum. 36(2). 325–336. 5 indexed citations

13.

Hu, Liwen, Derek Bradley, Hao Li, & Thabo Beeler. (2017). Simulation-Ready Hair Capture. Computer Graphics Forum. 36(2). 281–294. 8 indexed citations

14.

Wu, Chenglei, Derek Bradley, Pablo Garrido, et al.. (2016). Model-based teeth reconstruction. ACM Transactions on Graphics. 35(6). 1–13. 50 indexed citations

15.

Rousselle, Fabrice, Marios Papas, Derek Bradley, et al.. (2015). Recent Advances in Facial Appearance Capture. Computer Graphics Forum. 34(2). 709–733. 38 indexed citations

16.

Bermano, Amit H., Derek Bradley, Thabo Beeler, et al.. (2014). Facial performance enhancement using dynamic shape space analysis. ACM Transactions on Graphics. 33(2). 1–12. 26 indexed citations

17.

Bradley, Derek, Derek Nowrouzezahrai, & Paul Beardsley. (2013). Image-based reconstruction and synthesis of dense foliage. ACM Transactions on Graphics. 32(4). 1–10. 47 indexed citations

18.

Bradley, Derek & Wolfgang Heidrich. (2010). Binocular Camera Calibration Using Rectification Error. 19 indexed citations

19.

Bradley, Derek, Tamy Boubekeur, & Wolfgang Heidrich. (2008). Accurate multi-view reconstruction using robust binocular stereo and surface meshing. 1–8. 128 indexed citations

20.

Bradley, Derek & Gerhard Roth. (2005). Natural interaction with virtual objects using vision-based six DOF sphere tracking. NPARC. 19–26. 9 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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