A. David Marshall

496 citations
20 papers · 341 · h-index 9

Impact in

Papers in

A. David Marshall

19 papers receiving 317 citations

Peers

A. David Marshall
Comparison fields: 5 of 64
  • Computer Graphics and Computer-Aided Design 53
  • Geology 65
  • Computer Vision and Pattern Recognition 192
  • Industrial and Manufacturing Engineering 66
  • Computational Mechanics 80
Replace Jiemin Fang with:
Jiemin Fang China
Xiawu Zheng China
Cheuk Yiu Ip United States
Yunqi Lei China
Tao Lu China
Géraldine Morin France
Zicheng Liao China
Karthik Narayan United States
Pedro Miraldo Portugal
Yujing Sun China
A. David Marshall relative to Jiemin Fang China Jiemin Fang's profile →
Citations per field
00.5×4.5×
Jiemin Fang · 1×
Citations per year

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-authors

The 13 scholars most cited alongside A. David Marshall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. David Marshall Line = papers co-authored together A. David Marshall links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200692
2 199238
3 201238
4 199837
5 200130
6 199121
7 200216
8 199610
9 199610
10 20038
11 20048
12 19977
13 20016
14 19964
15 19914
16 20043
17 19963
18 20163
19 19943
20 19920

About A. David Marshall

A. David Marshall is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Industrial and Manufacturing Engineering, Computational Mechanics and Computer Graphics and Computer-Aided Design, having authored 20 papers that have together received 341 indexed citations. Recurring topics across this work include Image and Object Detection Techniques (5 papers), 3D Shape Modeling and Analysis (5 papers), Industrial Vision Systems and Defect Detection (5 papers), Robotics and Sensor-Based Localization (5 papers), 3D Surveying and Cultural Heritage (3 papers), Advanced Vision and Imaging (3 papers), Human Pose and Action Recognition (2 papers) and Experimental Learning in Engineering (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (53 citations), Geology (65 citations), Computer Vision and Pattern Recognition (192 citations), Industrial and Manufacturing Engineering (66 citations) and Computational Mechanics (80 citations). A. David Marshall has collaborated with scholars based in United Kingdom, New Zealand and China. Frequent co-authors include Paul L. Rosin, Frank C. Langbein, R. R. Martin, Ralph R. Martin, S. Hurley, R. R. Martin, Jing Wu, Yu‐Kun Lai, Xianfang Sun and Chang Gao. Their work appears in journals such as Computer-Aided Design, Image and Vision Computing, Multimedia Tools and Applications, Pattern Recognition Letters and ORCA Online Research @Cardiff (Cardiff University).

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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