C. A. Glasbey

117 papers receiving 2.9k citations

Hit Papers

Plant Growth Curves-the Functional Approach to Plant Growth Analysis. 1983 · 516 citations
5161983202619972011100200300400500

Peers

C. A. Glasbey
Comparison fields: 5 of 175
  • Computer Vision and Pattern Recognition 560
  • Biophysics 139
  • Plant Science 747
  • Animal Science and Zoology 192
  • Environmental Engineering 266
Replace Ramón Díaz‐Uriarte with:
Ramón Díaz‐Uriarte Spain
Xiuwen Liu United States
Willem Waegeman Belgium
George E. Meyer United States
Adele Cutler United States
Bjørn‐Helge Mevik Norway
Dick de Ridder Netherlands
Mark Berman Australia
Richard E. Woods Australia
K. E. Basford Australia
C. A. Glasbey relative to Ramón Díaz‐Uriarte Spain Ramón Díaz‐Uriarte's profile →
Citations per field
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Citations per year

Countries citing papers authored by C. A. Glasbey

Since Specialization
Citations

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

Fields of papers citing papers by C. A. Glasbey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. A. Glasbey. 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 C. A. Glasbey. The network helps show where C. A. Glasbey may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Associations betwen beef density by X-ray computed tomography, intramuscular fat and fatty acid composition: preliminary results
20093
2 200917
3
multiscan: R package for combining multiple scans
20081
4 20082
5 20074
6 200711
7 200651
8 20059
9
Clustering objects on subsets of attributes
200423
10 200440
11 20049
12 200223
13 20023
14
Optimal linear interpolation of images with known point spread function
20013
15
Estimation of tissue proportions in X-ray CT images using a new mixed pixel distribution
19998
16
Ultrasound Image Segmentation using Stochastic Templates
19986
17 1998209
18 199527
19 198817
20 19851

About C. A. Glasbey

C. A. Glasbey is a scholar working on Animal Science and Zoology, Statistics and Probability, Small Animals, Biophysics and Computer Vision and Pattern Recognition, having authored 119 papers that have together received 3.2k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (17 papers), Animal Behavior and Welfare Studies (9 papers), Medical Image Segmentation Techniques (9 papers), Gene expression and cancer classification (9 papers), Spectroscopy and Chemometric Analyses (8 papers), Soil Geostatistics and Mapping (7 papers), Cell Image Analysis Techniques (7 papers) and Agricultural Engineering and Mechanization (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (560 citations), Biophysics (139 citations), Plant Science (747 citations), Animal Science and Zoology (192 citations) and Environmental Engineering (266 citations). C. A. Glasbey has collaborated with scholars based in United Kingdom, Hungary and Netherlands. Frequent co-authors include Roderick Hunt, Kanti V. Mardia, David J. Allcroft, Graham Horgan, M.B. McGechan, G. Polder, G.W.A.M. van der Heijden, A.B. Lawrence, Marie J. Haskell and Kenny Rutherford. Their work appears in journals such as Journal of the Royal Statistical Society Series C (Applied Statistics), Biometrics, The Journal of Agricultural Science, Biometrical Journal and Biometrika.

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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