A. David Marshall

492 total citations
20 papers, 341 citations indexed

About

A. David Marshall is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, A. David Marshall has authored 20 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 6 papers in Aerospace Engineering and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in A. David Marshall's work include Image and Object Detection Techniques (5 papers), Industrial Vision Systems and Defect Detection (5 papers) and Robotics and Sensor-Based Localization (5 papers). A. David Marshall is often cited by papers focused on Image and Object Detection Techniques (5 papers), Industrial Vision Systems and Defect Detection (5 papers) and Robotics and Sensor-Based Localization (5 papers). A. David Marshall collaborates with scholars based in United Kingdom, New Zealand and Singapore. A. David Marshall's co-authors include Paul L. Rosin, Frank C. Langbein, R. R. Martin, Ralph R. Martin, S. Hurley, R. R. Martin, Jing Wu, Xianfang Sun, Yu‐Kun Lai and Chang Gao and has published in prestigious journals such as Pattern Recognition Letters, Image and Vision Computing and Computer-Aided Design.

In The Last Decade

A. David Marshall

19 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. David Marshall United Kingdom 9 193 80 66 65 59 20 341
Jiemin Fang China 11 391 2.0× 80 1.0× 29 0.4× 22 0.3× 39 0.7× 20 531
Cheuk Yiu Ip United States 10 325 1.7× 258 3.2× 140 2.1× 67 1.0× 31 0.5× 21 453
Karthik Narayan United States 6 186 1.0× 30 0.4× 15 0.2× 43 0.7× 106 1.8× 9 283
Pedro Miraldo Portugal 9 217 1.1× 114 1.4× 8 0.1× 142 2.2× 222 3.8× 31 387
William Thibault United States 4 265 1.4× 122 1.5× 34 0.5× 23 0.4× 57 1.0× 6 479
Géraldine Morin France 11 197 1.0× 167 2.1× 19 0.3× 12 0.2× 9 0.2× 42 375
Ioannis Ivrissimtzis United Kingdom 13 213 1.1× 192 2.4× 23 0.3× 39 0.6× 16 0.3× 58 423
Xiawu Zheng China 12 338 1.8× 56 0.7× 18 0.3× 33 0.5× 16 0.3× 45 523
Shi-Nine Yang Taiwan 9 307 1.6× 64 0.8× 37 0.6× 11 0.2× 7 0.1× 32 433
Peter R. Atherton United States 8 220 1.1× 191 2.4× 35 0.5× 26 0.4× 32 0.5× 11 468

Countries citing papers authored by A. David Marshall

Since Specialization
Citations

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

Fields of papers citing papers by A. David Marshall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. David Marshall. 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 A. David Marshall. The network helps show where A. David Marshall may publish in the future.

Co-authorship network of co-authors of A. David Marshall

This figure shows the co-authorship network connecting the top 25 collaborators of A. David Marshall. A scholar is included among the top collaborators of A. David Marshall 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 A. David Marshall. A. David Marshall 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.
Lloyd, Karen G., et al.. (2016). Violent behaviour detection using local trajectory response. ORCA Online Research @Cardiff (Cardiff University). 14 (6 .)–14 (6 .). 3 indexed citations
2.
Wu, Jing, R. R. Martin, Paul L. Rosin, et al.. (2012). Making bas-reliefs from photographs of human faces. Computer-Aided Design. 45(3). 671–682. 38 indexed citations
3.
Marshall, A. David, et al.. (2006). Selection of the optimal parameter value for the Isomap algorithm. Pattern Recognition Letters. 27(9). 968–979. 92 indexed citations
4.
Langbein, Frank C., et al.. (2004). Topological and geometric beautification of reverse engineered geometric models. 255–260. 3 indexed citations
5.
Gao, Chang, Frank C. Langbein, A. David Marshall, & R. R. Martin. (2004). Local topological beautification of reverse engineered models. Computer-Aided Design. 36(13). 1337–1355. 8 indexed citations
6.
Langbein, Frank C., A. David Marshall, & Ralph R. Martin. (2003). Numerical methods for beautification of reverse engineered geometric models. ORCA Online Research @Cardiff (Cardiff University). 159–168. 8 indexed citations
7.
Langbein, Frank C., et al.. (2002). Recognizing geometric patterns for beautification of reconstructed solid models. ORCA Online Research @Cardiff (Cardiff University). 3. 10–19. 16 indexed citations
8.
Langbein, Frank C., et al.. (2001). Approximate symmetry detection for reverse engineering. ORCA Online Research @Cardiff. 241–248. 30 indexed citations
9.
Langbein, Frank C., et al.. (2001). APPROXIMATE GEOMETRIC REGULARITIES. ORCA Online Research @Cardiff (Cardiff University). 7(2). 129–162. 6 indexed citations
10.
Marshall, A. David, et al.. (1998). Viewpoint Selection for Complete Surface Coverage of Three Dimensional Objects. 74.1–74.11. 37 indexed citations
11.
Marshall, A. David, et al.. (1997). <title>Tracking targets in FLIR images by region template correlation</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3086. 221–232. 7 indexed citations
12.
Marshall, A. David & S. Hurley. (1996). The design, development and evaluation of hypermedia courseware for the World Wide Web. Multimedia Tools and Applications. 3(1). 5–31. 10 indexed citations
13.
Marshall, A. David & S. Hurley. (1996). Interactive hypermedia courseware for the World Wide Web. ACM SIGCSE Bulletin. 28(SI). 1–5. 4 indexed citations
14.
Marshall, A. David & S. Hurley. (1996). Interactive hypermedia courseware for the World Wide Web. 1–5. 10 indexed citations
15.
Marshall, A. David, et al.. (1996). <title>Automatically planning the inspection of three-dimensional objects using stereo computer vision</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2599. 94–105. 3 indexed citations
16.
Marshall, A. David. (1994). <title>Hypertext-based computer vision teaching packages</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2347. 207–218. 3 indexed citations
17.
Davies, Simon, A. David Marshall, & Ralph R. Martin. (1992). <title>Accurate estimation of surface properties by integrating information using Bayesian networks</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1828. 240–249.
18.
Marshall, A. David & R. R. Martin. (1992). Computer Vision, Models and Inspection. 38 indexed citations
19.
Marshall, A. David. (1991). <title>Automatically inspecting gross features of machined objects using three-dimensional depth data</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1386. 243–254. 4 indexed citations
20.
Marshall, A. David, et al.. (1991). Automatic inspection of mechanical parts using geometric models and laser range finder data. Image and Vision Computing. 9(6). 385–405. 21 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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