Jane Galbraith
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference 2
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- Healthcare Policy and Management 2
- Health Systems, Economic Evaluations, Quality of Life 2
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- Statistical and numerical algorithms 2
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- Global Health Care Issues 2
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- Force Microscopy Techniques and Applications 1
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- Advanced MEMS and NEMS Technologies 1
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- Bone Tissue Engineering Materials 1
- Co-authors
- Virginia A. ClarkOlive Jean DunnFiona SteeleDavid J. BartholomewIrini MoustakiR. F. GalbraithMervyn StoneM.A. Horton
- Journals
- Journal of Applied Probability (2 papers)Journal of the Royal Statistical Society Series A (Statistics in Society) (2 papers)Quality & Quantity (1 paper)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Jane Galbraith
15 papers receiving 592 citations
Peers
Comparison fields: 5 of 170
- Statistics and Probability 95
- Management Science and Operations Research 48
- Finance 32
- Space and Planetary Science 4
- Bioengineering 14
Countries citing papers authored by Jane Galbraith
This map shows the geographic impact of Jane Galbraith'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 Jane Galbraith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Galbraith more than expected).
Fields of papers citing papers by Jane Galbraith
This network shows the impact of papers produced by Jane Galbraith. 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 Jane Galbraith. The network helps show where Jane Galbraith may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jane Galbraith, 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 | 2022 | 17 | |
| 2 | 2011 | 8 | |
| 3 | 2009 | 1 | |
| 4 | Analysis of Multivariate Social Science Data, Second Edition | 2008 | 9 |
| 5 | 2006 | 86 | |
| 6 | 2005 | 18 | |
| 7 | 2002 | 210 | |
| 8 | 2000 | 1 | |
| 9 | 1994 | 12 | |
| 10 | 1991 | 9 | |
| 11 | 1991 | 10 | |
| 12 | 1991 | 21 | |
| 13 | 1975 | 174 | |
| 14 | 1974 | 6 | |
| 15 | 1974 | 63 |
About Jane Galbraith
Jane Galbraith is a scholar working on Statistics and Probability, Applied Mathematics and Geochemistry and Petrology, having authored 15 papers that have together received 645 indexed citations. Recurring topics across this work include Healthcare Policy and Management (2 papers), Statistical and numerical algorithms (2 papers), Statistical Methods and Bayesian Inference (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Global Health Care Issues (2 papers), Force Microscopy Techniques and Applications (1 paper), Advanced MEMS and NEMS Technologies (1 paper) and Bone Tissue Engineering Materials (1 paper). The work is most often cited by research in Statistics and Probability (95 citations), Management Science and Operations Research (48 citations) and Finance (32 citations). Jane Galbraith has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Virginia A. Clark, Olive Jean Dunn, Fiona Steele, David J. Bartholomew, Irini Moustaki, R. F. Galbraith, Mervyn Stone, M.A. Horton, Christoph Gerber and H.P. Lang. Their work appears in journals such as Journal of Applied Probability, Journal of the Royal Statistical Society Series A (Statistics in Society), Quality & Quantity, Journal of the American Chemical Society and Materials.
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.