Colin Goodall
Impact in
- Statistics and Probability top 0.5%
- Advanced Statistical Methods and Models
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- Face and Expression Recognition
- Image Retrieval and Classification Techniques
Papers in
-
- Morphological variations and asymmetry 8
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- Artificial Intelligence in Healthcare 2
- Co-authors
- Ian T. JolliffeJoe WhittakerKanti V. MardiaE. J. RedfernFrancisco AlonsoPeter J. FosPaul B. GreenMinoru Siotani
- Journals
- Technometrics (7 papers)Journal of Computational and Graphical Statistics (4 papers)Advances in Applied Probability (3 papers)The American Statistician (2 papers)Artificial Intelligence in Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomSaint Kitts and Nevis
In The Last Decade
Colin Goodall
34 papers receiving 9.6k citations
Hit Papers
Peers
Comparison fields: 5 of 226
- Statistics and Probability 919
- Computer Vision and Pattern Recognition 2.2k
- Geometry and Topology 905
- Signal Processing 1.1k
- Analytical Chemistry 800
Countries citing papers authored by Colin Goodall
This map shows the geographic impact of Colin Goodall'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 Colin Goodall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colin Goodall more than expected).
Fields of papers citing papers by Colin Goodall
This network shows the impact of papers produced by Colin Goodall. 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 Colin Goodall. The network helps show where Colin Goodall may publish in the future.
Co-authors
The 25 scholars most cited alongside Colin Goodall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 11 | |
| 2 | 2002 | 108 | |
| 3 | 1999 | 9 | |
| 4 | 1999 | 17 | |
| 5 | 1998 | 3 | |
| 6 | 1998 | 152 | |
| 7 | 1998 | 14 | |
| 8 | 1998 | 24 | |
| 9 | 1996 | 8 | |
| 10 | 1996 | 11 | |
| 11 | Form Comparison Without Anatomical Landmarks | 1992 | 1 |
| 12 | 1992 | 14 | |
| 13 | 1992 | 162 | |
| 14 | Procrustes Methods in the Statistical Analysis of Shape Hit paper breakdown → | 1991 | 1460 |
| 15 | Graphical Models in Applied Multivariate Statistics Hit paper breakdown → | 1991 | 1148 |
| 16 | 1990 | 11 | |
| 17 | 1990 | 9 | |
| 18 | 1988 | 4 | |
| 19 | 1986 | 3 | |
| 20 | 1986 | 45 |
About Colin Goodall
Colin Goodall is a scholar working on Geometry and Topology, Health Information Management, Statistics and Probability, Analytical Chemistry and Transportation, having authored 34 papers that have together received 10.4k indexed citations. Recurring topics across this work include Morphological variations and asymmetry (8 papers), Advanced Statistical Methods and Models (4 papers), Spectroscopy and Chemometric Analyses (4 papers), Soil Geostatistics and Mapping (4 papers), Health disparities and outcomes (2 papers), Healthcare Policy and Management (2 papers), Artificial Intelligence in Healthcare (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Statistics and Probability (919 citations), Computer Vision and Pattern Recognition (2.2k citations), Geometry and Topology (905 citations), Signal Processing (1.1k citations) and Analytical Chemistry (800 citations). Colin Goodall has collaborated with scholars based in United States, United Kingdom and Saint Kitts and Nevis. Frequent co-authors include Ian T. Jolliffe, Joe Whittaker, Kanti V. Mardia, E. J. Redfern, Francisco Alonso, Peter J. Fos, Paul B. Green, Minoru Siotani, Yasunori Fujikoshi and Takesi Hayakawa. Their work appears in journals such as Technometrics, Journal of Computational and Graphical Statistics, Advances in Applied Probability, The American Statistician and Artificial Intelligence in Medicine.
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.