Stephen D. Laycock

1.4k total citations
58 papers, 900 citations indexed

About

Stephen D. Laycock is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Stephen D. Laycock has authored 58 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 13 papers in Mechanical Engineering and 11 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Stephen D. Laycock's work include Teleoperation and Haptic Systems (13 papers), Computer Graphics and Visualization Techniques (8 papers) and Tactile and Sensory Interactions (8 papers). Stephen D. Laycock is often cited by papers focused on Teleoperation and Haptic Systems (13 papers), Computer Graphics and Visualization Techniques (8 papers) and Tactile and Sensory Interactions (8 papers). Stephen D. Laycock collaborates with scholars based in United Kingdom, Jordan and United States. Stephen D. Laycock's co-authors include A. M. Day, Steven Hayward, Matthew Tam, Mark Fisher, Osama Dorgham, James R. Brown, Adrian Chojnowski, Iain Matthews, David Greenwood and Aaron Bostrom and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Biomedical Engineering and Journal of Chemical Information and Modeling.

In The Last Decade

Stephen D. Laycock

57 papers receiving 861 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen D. Laycock United Kingdom 16 263 183 161 142 107 58 900
M. Teschner Germany 18 157 0.6× 335 1.8× 172 1.1× 116 0.8× 34 0.3× 81 1.5k
Remo Sala Italy 12 145 0.6× 217 1.2× 82 0.5× 73 0.5× 28 0.3× 45 568
Wenjun Tan China 18 173 0.7× 207 1.1× 37 0.2× 41 0.3× 89 0.8× 94 996
H. K. Sardana India 19 248 0.9× 307 1.7× 48 0.3× 58 0.4× 12 0.1× 74 1.3k
Lars Mündermann United States 15 538 2.0× 436 2.4× 302 1.9× 39 0.3× 108 1.0× 23 1.4k
Rasmus R. Paulsen Denmark 18 136 0.5× 224 1.2× 82 0.5× 49 0.3× 28 0.3× 74 1.2k
Mingchuan Zhou China 18 456 1.7× 165 0.9× 121 0.8× 104 0.7× 11 0.1× 66 1.1k
Keisuke Maeda Japan 13 184 0.7× 148 0.8× 62 0.4× 40 0.3× 24 0.2× 154 736
Qingqing Zheng China 17 102 0.4× 168 0.9× 39 0.2× 47 0.3× 169 1.6× 58 1.4k
Kazuhiko Hamamoto Japan 16 207 0.8× 359 2.0× 26 0.2× 106 0.7× 127 1.2× 134 1.1k

Countries citing papers authored by Stephen D. Laycock

Since Specialization
Citations

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

Fields of papers citing papers by Stephen D. Laycock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen D. Laycock. 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 Stephen D. Laycock. The network helps show where Stephen D. Laycock may publish in the future.

Co-authorship network of co-authors of Stephen D. Laycock

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen D. Laycock. A scholar is included among the top collaborators of Stephen D. Laycock 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 Stephen D. Laycock. Stephen D. Laycock 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.
Palmer, Leoni I., et al.. (2025). Interactive Docking Workshop: Docking the Anticancer Drug Belinostat to Its Cellular Histone Deacetylase (HDAC) Target. Journal of Chemical Education. 102(6). 2514–2521. 1 indexed citations
2.
3.
Kitao, Akio, et al.. (2017). High quality rendering of protein dynamics in space filling mode. Journal of Molecular Graphics and Modelling. 78. 158–167. 4 indexed citations
4.
Hayward, Steven, et al.. (2015). Adaptive GPU-accelerated force calculation for interactive rigid molecular docking using haptics. Journal of Molecular Graphics and Modelling. 61. 1–12. 11 indexed citations
5.
Greco, Mark, et al.. (2014). 3‐D visualisation, printing, and volume determination of the tracheal respiratory system in the adult desert locust, Schistocerca gregaria. Entomologia Experimentalis et Applicata. 152(1). 42–51. 15 indexed citations
6.
Laycock, Stephen D., et al.. (2013). Ray-Triangle Collision Detection to Approximate Objects with Spheres. 1 indexed citations
7.
Tam, Matthew, et al.. (2013). 3D Printing of an Aortic Aneurysm to Facilitate Decision Making and Device Selection for Endovascular Aneurysm Repair in Complex Neck Anatomy. Journal of Endovascular Therapy. 20(6). 863–867. 96 indexed citations
8.
9.
Tam, Moses, et al.. (2012). Production of 3-D printer-generated radiotherapy shells using DICOM CT, MRI or 3-D surface laser scan – Acquired STL files: Preclinical feasibility studies. UEA Digital Repository (University of East Anglia). 1 indexed citations
10.
Dorgham, Osama, Stephen D. Laycock, & Mark Fisher. (2012). GPU Accelerated Generation of Digitally Reconstructed Radiographs for 2-D/3-D Image Registration. IEEE Transactions on Biomedical Engineering. 59(9). 2594–2603. 44 indexed citations
11.
Laycock, Stephen D., et al.. (2012). 3-D printout of a DICOM file to aid surgical planning in a 6 year old patient with a large scapular osteochondroma complicating congenital diaphyseal aclasia. Journal of Radiology Case Reports. 6(1). 31–7. 83 indexed citations
12.
Stocks, M. B., Stephen D. Laycock, & Steven Hayward. (2011). Applying forces to elastic network models of large biomolecules using a haptic feedback device. Journal of Computer-Aided Molecular Design. 25(3). 203–211. 9 indexed citations
13.
Laycock, Stephen D., et al.. (2010). Real-Time Traffic Simulation Using Cellular Automata. UEA Digital Repository (University of East Anglia). 7 indexed citations
14.
Stocks, M. B., Steven Hayward, & Stephen D. Laycock. (2009). Interacting with the biomolecular solvent accessible surface via a haptic feedback device. BMC Structural Biology. 9(1). 69–69. 17 indexed citations
15.
Dorgham, Osama, Mark Fisher, & Stephen D. Laycock. (2009). Accelerated Generation of Digitally Reconstructed Radiographs using Parallel Processing. UEA Digital Repository (University of East Anglia). 7 indexed citations
16.
Dorgham, Osama, Mark Fisher, & Stephen D. Laycock. (2008). Performance of a 2D-3D Image Registration System using (Lossy) Compressed X-ray CT. 43(2). 195–203. 4 indexed citations
17.
Stocks, M. B. & Stephen D. Laycock. (2008). A Haptic Rendering Algorithm for Molecular Interaction. Eurographics. 2 indexed citations
18.
Laycock, Stephen D. & A. M. Day. (2005). Incorporating haptic feedback for the simulation of a deformable tool in a rigid scene. Computers & Graphics. 29(3). 341–351. 8 indexed citations
19.
Laycock, Stephen D. & A. M. Day. (2004). A hybrid collision detection approach for the haptic rendering of deformable tools. 148–155. 3 indexed citations
20.
Laycock, Stephen D. & A. M. Day. (2003). Simulating Deformable Tools with Haptic Feedback in a Virtual Environment. UEA Digital Repository (University of East Anglia). 2 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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