C. A. McGilchrist
- Statistics and Probability top 0.5%
- Plant Science top 10%
- Agronomy and Crop Science top 2%
- Artificial Intelligence top 5%
- Economics and Econometrics top 5%
- Co-authors
- Chris AisbettB. R. TrenbathKelvin K.W. YauR. L. SandlandK. D. WoodyerR. B. BlacketB. LeelarthaepinJoan Mary Woodhill
- Topics
- Statistical Methods and Inference (15 papers)Genetic and phenotypic traits in livestock (12 papers)Statistical Methods and Bayesian Inference (11 papers)
- Journals
- Journal of the American Statistical AssociationApplied and Environmental MicrobiologyTechnometrics
- Partner nations
- AustraliaUnited StatesHong Kong
In The Last Decade
C. A. McGilchrist
79 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 152
- Statistics and Probability 821
- Plant Science 348
- Agronomy and Crop Science 307
- Artificial Intelligence 210
- Economics and Econometrics 206
Countries citing papers authored by C. A. McGilchrist
This map shows the geographic impact of C. A. McGilchrist'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. McGilchrist 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. McGilchrist more than expected).
Fields of papers citing papers by C. A. McGilchrist
This network shows the impact of papers produced by C. A. McGilchrist. 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. McGilchrist. The network helps show where C. A. McGilchrist may publish in the future.
Co-authorship network of co-authors of C. A. McGilchrist
This figure shows the co-authorship network connecting the top 25 collaborators of C. A. McGilchrist. A scholar is included among the top collaborators of C. A. McGilchrist 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 C. A. McGilchrist. C. A. McGilchrist is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 55 | |
| 2 | 4 | |
| 3 | 9 | |
| 4 | 4 | |
| 5 | 13 | |
| 6 | 13 | |
| 7 | 50 | |
| 8 | 153 | |
| 9 | 2 | |
| 10 | 16 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 9 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 1 |
About C. A. McGilchrist
C. A. McGilchrist is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Environmental Engineering, having authored 86 papers that have together received 2.0k indexed citations. Recurring topics across this work include Statistical Methods and Inference (15 papers), Genetic and phenotypic traits in livestock (12 papers) and Statistical Methods and Bayesian Inference (11 papers). The work is most often cited by research in Statistics and Probability (821 citations), Agronomy and Crop Science (307 citations) and Forestry (108 citations). C. A. McGilchrist has collaborated with scholars based in Australia, United States and Hong Kong. Frequent co-authors include Chris Aisbett, B. R. Trenbath, Kelvin K.W. Yau, R. L. Sandland, K. D. Woodyer, R. B. Blacket, B. Leelarthaepin, Joan Mary Woodhill, Andrew Palmer and B. R. Cullis. Their work appears in journals such as Journal of the American Statistical Association, Applied and Environmental Microbiology and Technometrics.
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.