David Page

3.2k citations
107 papers · 2.1k indexed · h-index 22

Impact in

Papers in

David Page

99 papers receiving 1.9k citations

Peers

David Page
Comparison fields: 5 of 163
  • Computer Graphics and Computer-Aided Design 174
  • Computer Vision and Pattern Recognition 918
  • Media Technology 214
  • Geology 125
  • Computational Mechanics 226
Replace Lu Fang with:
Lu Fang China
Yanwen Guo China
Yi Fang United States
Stefan Popov United States
Xinchen Yan United States
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Richard Zhang United States
Xu Wang China
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Citations per field
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Citations per year

Countries citing papers authored by David Page

Since Specialization
Citations

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

Fields of papers citing papers by David Page

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006243
2 2002132
3 200493
4 200287
5 200785
6
Multiple Instance Regression
200183
7 200369
8 201364
9 200260
10 200858
11 200556
12 201855
13 200655
14 200952
15 200351
16 200346
17 200541
18 200635
19 200834
20 201133

About David Page

David Page is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Molecular Biology and Computational Mechanics, having authored 107 papers that have together received 2.1k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (22 papers), Advanced Vision and Imaging (12 papers), 3D Shape Modeling and Analysis (12 papers), 3D Surveying and Cultural Heritage (11 papers), Computer Graphics and Visualization Techniques (10 papers), Advanced Image and Video Retrieval Techniques (10 papers), Video Surveillance and Tracking Methods (9 papers) and Remote Sensing and LiDAR Applications (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (174 citations), Computer Vision and Pattern Recognition (918 citations), Media Technology (214 citations), Geology (125 citations) and Computational Mechanics (226 citations). David Page has collaborated with scholars based in United States, France and Australia. Frequent co-authors include M.A. Abidi, Andreas Koschan, Besma Abidi, Mongi A. Abidi, Zhiyu Chen, Jeremy D. Glasner, Soumya Ray, Sreenivas R. Sukumar, Joonki Paik and Irene M. Ong. Their work appears in journals such as IEEE Transactions on Image Processing, JAMA Network Open, Bioinformatics, Industrial Robot the international journal of robotics research and application and SAE technical papers on CD-ROM/SAE technical paper series.

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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