David Marshall

94 papers receiving 2.4k citations

David Marshall's Hit Papers

Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid 2012 · 464 citations
4640+4+9Years since publication100200300400

Peers

David Marshall
Comparison fields: 5 of 167
  • Geology 237
  • Computer Vision and Pattern Recognition 861
  • Computer Graphics and Computer-Aided Design 122
  • Orthodontics 78
  • Ophthalmology 142
Replace Sim Heng Ong with:
Sim Heng Ong Singapore
Shaoyi Du China
Pierre Boulanger Canada
James Graham United States
Concetto Spampinato Italy
Atsushi Yamashita Japan
Josephine Sullivan Sweden
Fernando De la Torre United States
Marco Leo Italy
Xuehan Xiong United States
David Marshall relative to Sim Heng Ong Singapore Sim Heng Ong's profile →
Citations per field
00.5×5.9×
Sim Heng Ong · 1×
Citations per year

Countries citing papers authored by David Marshall

Since Specialization
Citations

This map shows the geographic impact of 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 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 David Marshall more than expected).

Fields of papers citing papers by David Marshall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside 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 David Marshall Line = papers co-authored together David Marshall links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid
Hit paper breakdown →
2012464
2 2013156
3 2001150
4 2001126
5 2010103
6 201199
7 201797
8 201287
9 200187
10 202261
11 201049
12 201349
13 200246
14 201539
15 201738
16 200836
17 201134
18 200833
19 201232
20 201032

About David Marshall

David Marshall is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 98 papers that have together received 2.5k indexed citations. Recurring topics across this work include Face recognition and analysis (11 papers), EEG and Brain-Computer Interfaces (7 papers), Face and Expression Recognition (6 papers), Retinal Imaging and Analysis (6 papers), Orthodontics and Dentofacial Orthopedics (6 papers), Emotion and Mood Recognition (6 papers), Speech and Audio Processing (6 papers) and 3D Surveying and Cultural Heritage (5 papers). The work is most often cited by research in Geology (237 citations), Computer Vision and Pattern Recognition (861 citations), Computer Graphics and Computer-Aided Design (122 citations), Orthodontics (78 citations) and Ophthalmology (142 citations). David Marshall has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Paul L. Rosin, R. R. Martin, Darren Cosker, Stephen Richmond, Yu‐Kun Lai, Gary K.L. Tam, Zhi‐Quan Cheng, Yonghuai Liu, Frank C. Langbein and Xianfang Sun. Their work appears in journals such as PLoS ONE, Orthodontics and Craniofacial Research, Pattern Recognition, Machine Vision and Applications and Otolaryngology.

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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