Clare A. McGrory
- Artificial Intelligence top 10%
- Statistics and Probability top 5%
- Molecular Biology
- Control and Systems Engineering
- Economics and Econometrics
- Co-authors
- D. M. TitteringtonA. N. PettittR. ReevesM. J. FaddyYou‐Gan WangJinran WuClair Alston‐KnoxKerrie Mengersen
- Topics
- Bayesian Methods and Mixture Models (12 papers)Statistical Methods and Bayesian Inference (9 papers)Gaussian Processes and Bayesian Inference (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEComputational Statistics & Data Analysis
- Partner nations
- AustraliaUnited KingdomChina
In The Last Decade
Clare A. McGrory
17 papers receiving 222 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 139
- Statistics and Probability 102
- Molecular Biology 18
- Control and Systems Engineering 16
- Economics and Econometrics 16
Countries citing papers authored by Clare A. McGrory
This map shows the geographic impact of Clare A. McGrory'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 Clare A. McGrory with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clare A. McGrory more than expected).
Fields of papers citing papers by Clare A. McGrory
This network shows the impact of papers produced by Clare A. McGrory. 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 Clare A. McGrory. The network helps show where Clare A. McGrory may publish in the future.
Co-authorship network of co-authors of Clare A. McGrory
This figure shows the co-authorship network connecting the top 25 collaborators of Clare A. McGrory. A scholar is included among the top collaborators of Clare A. McGrory 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 Clare A. McGrory. Clare A. McGrory is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 8 | |
| 14 | 19 | |
| 15 | 37 | |
| 16 | 29 | |
| 17 | 95 | |
| 18 | 5 |
About Clare A. McGrory
Clare A. McGrory is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research, having authored 18 papers that have together received 232 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (12 papers), Statistical Methods and Bayesian Inference (9 papers) and Gaussian Processes and Bayesian Inference (4 papers). The work is most often cited by research in Statistics and Probability (102 citations), Artificial Intelligence (139 citations) and Signal Processing (15 citations). Clare A. McGrory has collaborated with scholars based in Australia, United Kingdom and China. Frequent co-authors include D. M. Titterington, A. N. Pettitt, R. Reeves, M. J. Faddy, You‐Gan Wang, Jinran Wu, Clair Alston‐Knox, Kerrie Mengersen, Elizabeth A. Heron and Mark Griffin. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Computational Statistics & Data Analysis.
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.