William A. P. Smith

3.2k total citations
109 papers, 1.5k citations indexed

About

William A. P. Smith is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, William A. P. Smith has authored 109 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Computer Vision and Pattern Recognition, 39 papers in Computational Mechanics and 24 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in William A. P. Smith's work include 3D Shape Modeling and Analysis (37 papers), Advanced Vision and Imaging (32 papers) and Face recognition and analysis (30 papers). William A. P. Smith is often cited by papers focused on 3D Shape Modeling and Analysis (37 papers), Advanced Vision and Imaging (32 papers) and Face recognition and analysis (30 papers). William A. P. Smith collaborates with scholars based in United Kingdom, United States and France. William A. P. Smith's co-authors include Edwin R. Hancock, Nick Pears, Hang Dai, Ankur Patel, Ye Yu, Christian A. Duncan, Angela E. Douglas, David A. Ashford, Jing Wu and Ravi Ramamoorthi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Remote Sensing of Environment.

In The Last Decade

William A. P. Smith

100 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William A. P. Smith United Kingdom 22 1.0k 369 204 104 101 109 1.5k
Silvia Zuffi Italy 14 609 0.6× 277 0.8× 90 0.4× 103 1.0× 28 0.3× 47 1.2k
Shoji Tominaga Japan 19 954 0.9× 65 0.2× 196 1.0× 131 1.3× 21 0.2× 186 1.6k
Katja Bühler Austria 18 535 0.5× 241 0.7× 355 1.7× 188 1.8× 23 0.2× 69 1.1k
Stephen Lin China 34 1.8k 1.8× 648 1.8× 838 4.1× 370 3.6× 36 0.4× 72 2.9k
Christophe Stolz France 13 280 0.3× 124 0.3× 17 0.1× 210 2.0× 21 0.2× 43 531
Jörg Haber Germany 16 662 0.7× 325 0.9× 153 0.8× 81 0.8× 63 0.6× 38 957
Lawrence B. Wolff United States 25 1.2k 1.2× 328 0.9× 360 1.8× 802 7.7× 100 1.0× 87 2.2k
Dan Gelb United States 14 654 0.6× 148 0.4× 343 1.7× 45 0.4× 53 0.5× 28 1.1k
Micah K. Johnson United States 19 1.8k 1.8× 150 0.4× 322 1.6× 223 2.1× 95 0.9× 30 2.2k
Xiuming Zhang China 15 323 0.3× 146 0.4× 191 0.9× 59 0.6× 14 0.1× 35 780

Countries citing papers authored by William A. P. Smith

Since Specialization
Citations

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

Fields of papers citing papers by William A. P. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William A. P. Smith. 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 William A. P. Smith. The network helps show where William A. P. Smith may publish in the future.

Co-authorship network of co-authors of William A. P. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of William A. P. Smith. A scholar is included among the top collaborators of William A. P. Smith 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 William A. P. Smith. William A. P. Smith 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.
Smith, William A. P., et al.. (2025). Unsupervised anomaly detection with a temporal continuation, confidence-aware VAE-GAN. Pattern Recognition. 166. 111699–111699.
2.
Geangu, Elena, William A. P. Smith, David K. Hunter, et al.. (2023). EgoActive: Integrated Wireless Wearable Sensors for Capturing Infant Egocentric Auditory–Visual Statistics and Autonomic Nervous System Function ‘in the Wild’. Sensors. 23(18). 7930–7930. 6 indexed citations
3.
Smith, William A. P., et al.. (2023). Self-supervised Relative Pose with Homography Model-fitting in the Loop. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 5694–5703. 2 indexed citations
4.
Smith, William A. P., et al.. (2022). Structure-From-Motion With Varying Principal Point. IEEE Geoscience and Remote Sensing Letters. 19. 1–5.
5.
Cooper, Michael, et al.. (2022). Unravelling the long-term, locally heterogenous response of Greenland glaciers observed in archival photography. ˜The œcryosphere. 16(6). 2449–2470. 4 indexed citations
6.
Bos, Jeremy P., et al.. (2021). Unstructured with a Point: Validation and Robustness Evaluation of Point-Cloud Based Path Planning. SAE International Journal of Advances and Current Practices in Mobility. 3(4). 1776–1789. 1 indexed citations
7.
8.
Smith, William A. P., et al.. (2020). Low-Order Spherical Harmonic HRTF Restoration Using a Neural Network Approach. Applied Sciences. 10(17). 5764–5764. 4 indexed citations
9.
Huang, Weimin, et al.. (2019). A shadow constrained conditional generative adversarial net for SRTM data restoration. Remote Sensing of Environment. 237. 111602–111602. 35 indexed citations
10.
Huang, Weimin, et al.. (2019). Filling Voids in Elevation Models Using a Shadow-Constrained Convolutional Neural Network. IEEE Geoscience and Remote Sensing Letters. 17(4). 592–596. 9 indexed citations
11.
Sormaz, Mladen, David Watson, William A. P. Smith, Andrew W. Young, & Timothy J. Andrews. (2016). Modelling the perceptual similarity of facial expressions from image statistics and neural responses. NeuroImage. 129. 64–71. 18 indexed citations
12.
Smith, William A. P., et al.. (2012). Inverse Rendering of Faces with a 3D Morphable Model. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(5). 1080–1093. 112 indexed citations
13.
Patel, Aman M. & William A. P. Smith. (2011). Automated Construction of Low-Resolution, Texture-Mapped, Class-Optimal Meshes. IEEE Transactions on Visualization and Computer Graphics. 18(3). 434–446.
14.
Casas, Fernando, et al.. (2010). Cycle Testing of the MagScrew Total Artificial Heart External Battery Pack: Update I. Artificial Organs. 35(2). 188–191. 1 indexed citations
15.
Smith, William A. P.. (2008). The Donut: A Canadian History. British Journal of Canadian Studies. 21(2). 293. 4 indexed citations
16.
Wu, Jing, William A. P. Smith, & Edwin R. Hancock. (2007). Gender Classification using Shape from Shading. 5 indexed citations
17.
Smith, William A. P., et al.. (2007). A Coupled Statistical Model for Face Shape Recovery From Brightness Images. IEEE Transactions on Image Processing. 16(4). 1139–1151. 34 indexed citations
18.
Ashford, David A., William A. P. Smith, & Angela E. Douglas. (2000). Living on a high sugar diet: the fate of sucrose ingested by a phloem-feeding insect, the pea aphid Acyrthosiphon pisum. Journal of Insect Physiology. 46(3). 335–341. 109 indexed citations
19.
Smith, William A. P., et al.. (1998). High Efficiency Magnetic Bearing for a Rotary Blood Pump. ASAIO Journal. 44(5). M728–M732. 4 indexed citations
20.
Tominaga, Ryuji, William A. P. Smith, Alex Massiello, Hiroaki Harasaki, & Leonard A.R. Golding. (1996). Chronic nonpulsatile blood flow. II. Hemodynamic responses to progressive exercise in calves with chronic nonpulsatile biventricular bypass. Journal of Thoracic and Cardiovascular Surgery. 111(4). 857–862. 11 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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