David Page

3.2k total citations
107 papers, 2.1k citations indexed

About

David Page is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, David Page has authored 107 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 27 papers in Artificial Intelligence and 24 papers in Aerospace Engineering. Recurrent topics in David Page's work include Robotics and Sensor-Based Localization (22 papers), Advanced Vision and Imaging (12 papers) and 3D Shape Modeling and Analysis (12 papers). David Page is often cited by papers focused on Robotics and Sensor-Based Localization (22 papers), Advanced Vision and Imaging (12 papers) and 3D Shape Modeling and Analysis (12 papers). David Page collaborates with scholars based in United States, France and Portugal. David Page's 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 and has published in prestigious journals such as Bioinformatics, The Science of The Total Environment and Scientific Reports.

In The Last Decade

David Page

99 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Page United States 22 918 385 348 228 226 107 2.1k
Davis United States 19 885 1.0× 146 0.4× 299 0.9× 190 0.8× 224 1.0× 121 2.3k
Yipeng Liu China 28 854 0.9× 204 0.5× 368 1.1× 194 0.9× 643 2.8× 171 2.6k
Xudong Sun China 16 618 0.7× 106 0.3× 359 1.0× 93 0.4× 142 0.6× 63 1.7k
Douglas E. Zongker United States 8 999 1.1× 222 0.6× 757 2.2× 47 0.2× 108 0.5× 9 2.1k
Martin Heusel Austria 6 1.7k 1.9× 304 0.8× 585 1.7× 31 0.1× 130 0.6× 6 2.5k
George Stockman United States 17 1.7k 1.9× 67 0.2× 366 1.1× 528 2.3× 153 0.7× 73 2.6k
Haoqian Wang China 26 1.5k 1.7× 130 0.3× 446 1.3× 307 1.3× 185 0.8× 144 3.0k
Meiling Wang China 24 745 0.8× 141 0.4× 364 1.0× 433 1.9× 42 0.2× 225 2.3k
Dan Schonfeld United States 26 1.8k 2.0× 151 0.4× 647 1.9× 163 0.7× 149 0.7× 207 2.7k
Hongkai Xiong China 29 2.0k 2.2× 88 0.2× 1.0k 3.0× 135 0.6× 202 0.9× 290 3.4k

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-authorship network of co-authors of David Page

This figure shows the co-authorship network connecting the top 25 collaborators of David Page. A scholar is included among the top collaborators of David Page 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 David Page. David Page 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.
Page, David, et al.. (2024). Closing the Water Balance with a Precision Small-Scale Field Lysimeter. Sensors. 24(7). 2039–2039.
2.
Page, David, et al.. (2022). Advancing artificial intelligence-assisted pre-screening for fragile X syndrome. BMC Medical Informatics and Decision Making. 22(1). 152–152. 10 indexed citations
3.
Page, David, Jinkuk Hong, Leann Smith DaWalt, et al.. (2021). Artificial intelligence–assisted phenotype discovery of fragile X syndrome in a population-based sample. Genetics in Medicine. 23(7). 1273–1280. 14 indexed citations
4.
Aardt, Jan van, et al.. (2020). Global Partitioning Elevation Normalization Applied to Building Footprint Prediction. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 3493–3502. 2 indexed citations
5.
Page, David, et al.. (2019). AUCμ: A Performance Metric for Multi-Class Machine Learning Models. International Conference on Machine Learning. 3439–3447. 6 indexed citations
6.
Melton, Chad, et al.. (2019). Temporal multispectral and 3D analysis of Cerro de Pasco, Peru. The Science of The Total Environment. 706. 135640–135640. 3 indexed citations
7.
Bao, Yujia, et al.. (2017). Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data. 177–190. 5 indexed citations
8.
Costa, Vı́tor Santos, et al.. (2014). Support Vector Machines for Differential Prediction. Lecture notes in computer science. 8725. 50–65. 15 indexed citations
9.
Hebbring, Scott J., Steven J. Schrodi, Zhenyu Ye, et al.. (2013). A PheWAS approach in studying HLA-DRB1*1501. Genes and Immunity. 14(3). 187–191. 64 indexed citations
10.
Davis, Jesse, Elizabeth Berg, David Page, et al.. (2011). Discovering latent structure in clinical databases. Lirias (KU Leuven). 8. 2 indexed citations
11.
Chen, Chung‐Hao, Cheng Chang, David Page, Andreas Koschan, & Mongi A. Abidi. (2006). Tracking a moving object with real-time obstacle avoidance. Industrial Robot the international journal of robotics research and application. 33(6). 460–468. 8 indexed citations
12.
Voisin, Sophie, David Page, Sebti Foufou, Frédéric Truchetet, & Mongi A. Abidi. (2006). Color influence on accuracy of 3D scanners based on structured light. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6070. 607009–607009. 6 indexed citations
13.
Chen, Zhiyu, Besma Abidi, David Page, & M.A. Abidi. (2006). Gray-level grouping (GLG): an automatic method for optimized image contrast Enhancement-part I: the basic method. IEEE Transactions on Image Processing. 15(8). 2290–2302. 243 indexed citations
14.
Page, David & Soumya Ray. (2003). Skewing: an efficient alternative to lookahead for decision tree induction. International Joint Conference on Artificial Intelligence. 601–607. 15 indexed citations
15.
Ong, Irene M., Jeremy D. Glasner, & David Page. (2002). Modelling regulatory pathways in E. coli from timeseries expression profiles. Bioinformatics. 18(suppl_1). S241–S248. 132 indexed citations
16.
Raedt, Luc De, David Page, & Stefan Wrobel. (2001). Special issue on inductive logic programming. Machine Learning. 43. 5–6. 2 indexed citations
17.
Ray, Soumya & David Page. (2001). Multiple Instance Regression. International Conference on Machine Learning. 425–432. 83 indexed citations
18.
Page, David, et al.. (2000). Registration and Integration of Multi-Sensor Data for Photo-realistic Scene Reconstruction. 74–84. 7 indexed citations
19.
Page, David. (1997). Study points to latex glove permeability.. PubMed. 11(10). 28–30. 1 indexed citations
20.
Page, David & R. S. Seth. (1988). A note on the effect of fiber strength on the tensile strength of paper. TAPPI Journal. 71(10). 182–183. 8 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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