P. Wayne Power

654 citations
11 papers · 524 · h-index 8

Impact in

Papers in

P. Wayne Power

10 papers receiving 493 citations

Peers

P. Wayne Power
Comparison fields: 5 of 83
  • Computer Vision and Pattern Recognition 217
  • Earth-Surface Processes 48
  • Computational Mechanics 140
  • Computer Graphics and Computer-Aided Design 24
  • Oceanography 72
Replace Isabelle Herlin with:
Isabelle Herlin France
Kevin Amaratunga United States
Xiaohong Chen China
Seizo Tanaka Japan
Filippo Bergamasco Italy
Eduardo Rodríguez Spain
R. B. Simpson Canada
Xiaoxing He China
Shuyu Zhang China
Rongting Zhang China
P. Wayne Power relative to Isabelle Herlin France Isabelle Herlin's profile →
Citations per field
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Isabelle Herlin · 1×
Citations per year

Countries citing papers authored by P. Wayne Power

Since Specialization
Citations

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

Fields of papers citing papers by P. Wayne Power

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Wayne Power. 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 P. Wayne Power. The network helps show where P. Wayne Power may publish in the future.

Co-authors

The 15 scholars most cited alongside P. Wayne Power, 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 P. Wayne Power Line = papers co-authored together P. Wayne Power links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Understanding Background Mixture Models for Foreground Segmentation
2002211
2 2004152
3 200475
4 200630
5 200619
6 199612
7 199412
8 19957
9 19964
10 19922
11
Progress in the Automated Recognition of Sheep Pelt Building.
19980

About P. Wayne Power

P. Wayne Power is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Ocean Engineering, Atmospheric Science and Industrial and Manufacturing Engineering, having authored 11 papers that have together received 524 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (4 papers), Computational Fluid Dynamics and Aerodynamics (4 papers), Industrial Vision Systems and Defect Detection (2 papers), Image and Object Detection Techniques (2 papers), Medical Image Segmentation Techniques (1 paper), Fluid Dynamics and Turbulent Flows (1 paper), Remote Sensing and Land Use (1 paper) and Spectroscopy and Chemometric Analyses (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (217 citations), Earth-Surface Processes (48 citations), Computational Mechanics (140 citations), Computer Graphics and Computer-Aided Design (24 citations) and Oceanography (72 citations). P. Wayne Power has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Christopher C. Pain, Matthew D. Piggott, Gerard Gorman, A.J.H. Goddard, F. Fang, David P. Marshall, M.D. Eaton, C. Mendes de Oliveira, I. M. Navon and Alan M. McIvor. Their work appears in journals such as Ocean Modelling, Computers & Mathematics with Applications, The APEA Journal and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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