Andrew Webb

607 total citations
21 papers, 278 citations indexed

About

Andrew Webb is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Andrew Webb has authored 21 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Andrew Webb's work include Image and Signal Denoising Methods (2 papers), Pain Management and Opioid Use (2 papers) and Face Recognition and Perception (2 papers). Andrew Webb is often cited by papers focused on Image and Signal Denoising Methods (2 papers), Pain Management and Opioid Use (2 papers) and Face Recognition and Perception (2 papers). Andrew Webb collaborates with scholars based in United Kingdom, Netherlands and Austria. Andrew Webb's co-authors include Keith D. Copsey, Gregory J. Hobbs, Michael R. MacAskill, David Lowe, Alistair Knott, Raghu Machiraju, Kun Huang, Rob Remis, Helen Chamberlin and Wyger Brink and has published in prestigious journals such as Industrial & Engineering Chemistry Research, IEEE Transactions on Medical Imaging and Anesthesia & Analgesia.

In The Last Decade

Andrew Webb

20 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Webb United Kingdom 9 80 58 47 31 24 21 278
Peter Cho United States 13 45 0.6× 62 1.1× 58 1.2× 8 0.3× 20 0.8× 31 617
Alexander Bauer Germany 10 84 1.1× 24 0.4× 145 3.1× 9 0.3× 10 0.4× 32 448
Tao Pang China 9 55 0.7× 80 1.4× 38 0.8× 39 1.3× 8 0.3× 56 280
Maria Hansson-Sandsten Sweden 10 163 2.0× 9 0.2× 55 1.2× 26 0.8× 19 0.8× 28 348
Suren Jayasuriya United States 12 66 0.8× 35 0.6× 189 4.0× 16 0.5× 5 0.2× 62 490
J.P. Reilly Canada 8 20 0.3× 76 1.3× 48 1.0× 56 1.8× 15 0.6× 22 307
Miriam Cha United States 8 108 1.4× 73 1.3× 147 3.1× 23 0.7× 6 0.3× 18 435
J. Jacobson United States 13 103 1.3× 148 2.6× 59 1.3× 99 3.2× 4 0.2× 33 578
Hong Leung United States 12 296 3.7× 48 0.8× 76 1.6× 9 0.3× 9 0.4× 41 522
Patrick L. Love United States 11 38 0.5× 4 0.1× 25 0.5× 26 0.8× 17 0.7× 21 638

Countries citing papers authored by Andrew Webb

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Webb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Webb

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Webb. A scholar is included among the top collaborators of Andrew Webb 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 Andrew Webb. Andrew Webb 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.
Salehi, Amin, Marián Mach, Chloé Najac, et al.. (2024). Denoising low-field MR images with a deep learning algorithm based on simulated data from easily accessible open-source software. Journal of Magnetic Resonance. 370. 107812–107812. 4 indexed citations
2.
Constantinou, Achilleas, Sanaa Hafeez, Eleana Harkou, et al.. (2024). Fuel Quality from Thermochemical Conversion and Biological Treatment of Biomass. Industrial & Engineering Chemistry Research. 63(44). 18699–18723. 1 indexed citations
3.
Allmendinger, Richard, et al.. (2021). HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis. IEEE Transactions on Evolutionary Computation. 26(6). 1206–1220. 5 indexed citations
4.
Börnert, Peter, et al.. (2021). Stochastic neighbor embedding as a tool for visualizing the encoding capability of magnetic resonance fingerprinting dictionaries. Magnetic Resonance Materials in Physics Biology and Medicine. 35(2). 223–234. 4 indexed citations
5.
Daube, Christoph, Xu Tian, Andrew Webb, et al.. (2021). Grounding deep neural network predictions of human categorization behavior in understandable functional features: The case of face identity. Patterns. 2(10). 100348–100348. 17 indexed citations
6.
Allmendinger, Richard, et al.. (2019). Evolving controllably difficult datasets for clustering. Proceedings of the Genetic and Evolutionary Computation Conference. 463–471. 7 indexed citations
7.
Zivkovic, Irena, et al.. (2018). Design of a passive feed network to increase the transmit efficiency of dipoles at 7 Tesla.
8.
Brink, Wyger, et al.. (2016). An Efficient Methodology for the Analysis of Dielectric Shimming Materials in Magnetic Resonance Imaging. IEEE Transactions on Medical Imaging. 36(2). 666–673. 15 indexed citations
9.
Webb, Andrew, Julia Handl, & Joshua Knowles. (2015). How Much Should You Select for Evolvability?. University of Birmingham Research Portal (University of Birmingham). 487–494. 1 indexed citations
10.
Yates, Andrew, et al.. (2014). Visualizing Multidimensional Data with Glyph SPLOMs. Computer Graphics Forum. 33(3). 301–310. 21 indexed citations
11.
Wagner, Jochen, F. Angelini, M. Blumthaler, et al.. (2011). Investigation of the 3-D actinic flux field in mountainous terrain. Atmospheric Research. 102(3). 300–310. 6 indexed citations
12.
Webb, Andrew, Alistair Knott, & Michael R. MacAskill. (2009). Eye movements during transitive action observation have sequential structure. Acta Psychologica. 133(1). 51–56. 33 indexed citations
13.
Blumthaler, M., Alkiviadis Bais, Andrew Webb, et al.. (2006). Variations of solar radiation at the Earth's surface during the total solar eclipse of 29 March 2006. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6362. 63620F–63620F. 12 indexed citations
14.
Copsey, Keith D. & Andrew Webb. (2003). Bayesian gamma mixture model approach to radar target recognition. IEEE Transactions on Aerospace and Electronic Systems. 39(4). 1201–1217. 79 indexed citations
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17.
Webb, Andrew. (1998). Application of genetic algorithm to a network optimisation problem. 1998. 62–66. 1 indexed citations
18.
Webb, Andrew, Paul R. Yarnold, & Robert C. Soltysik. (1997). Review of ODA 1.0 optimal data analysis for DOSTM. Statistics and Computing. 7(1). 69–73. 3 indexed citations
19.
Lowe, David & Andrew Webb. (1990). Exploiting prior knowledge in network optimization: an illustration from medical prognosis. Network Computation in Neural Systems. 1(3). 299–323. 21 indexed citations
20.
Webb, Andrew. (1986). Application of the singular value method and signal sub-space methods to sampled radar images. Pattern Recognition Letters. 4(4). 259–267. 1 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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