Jane Galbraith
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
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- Psychometric Methodologies and Testing
Papers in
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- Global Health Care Issues 2
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- Statistical and numerical algorithms 2
- Co-authors
- Virginia A. Clark (1 shared paper)Olive Jean Dunn (1 shared paper)David J. Bartholomew (2 shared papers)Fiona Steele (2 shared papers)Irini Moustaki (2 shared papers)R. F. Galbraith (3 shared papers)Mervyn Stone (2 shared papers)M.A. Horton (1 shared paper)
- Journals
- Journal of the Royal Statistical Society Series A (Statistics in Society) (2 papers)Journal of Applied Probability (2 papers)Materials (1 paper)Biometrics (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Jane Galbraith
15 papers receiving 631 citations
Peers
Comparison fields: 5 of 164
- Statistics and Probability 101
- Management Science and Operations Research 51
- Finance 32
- Space and Planetary Science 4
- Bioengineering 15
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-authors
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 | 2002 | 228 | |
| 2 | 1975 | 182 | |
| 3 | 2006 | 92 | |
| 4 | 1974 | 68 | |
| 5 | 1991 | 21 | |
| 6 | 2022 | 20 | |
| 7 | 2005 | 19 | |
| 8 | 1994 | 13 | |
| 9 | Analysis of Multivariate Social Science Data, Second Edition | 2008 | 11 |
| 10 | 1991 | 10 | |
| 11 | 1991 | 10 | |
| 12 | 1974 | 8 | |
| 13 | 2011 | 8 | |
| 14 | 2009 | 1 | |
| 15 | 2000 | 1 |
About Jane Galbraith
Jane Galbraith is a scholar working on General Health Professions, Applied Mathematics, Economics and Econometrics, Statistics and Probability and Automotive Engineering, having authored 15 papers that have together received 692 indexed citations. Recurring topics across this work include Global Health Care Issues (2 papers), Statistical and numerical algorithms (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Healthcare Policy and Management (2 papers), Statistical Methods and Bayesian Inference (2 papers), Demographic Trends and Gender Preferences (1 paper), Archaeology and ancient environmental studies (1 paper) and Force Microscopy Techniques and Applications (1 paper). The work is most often cited by research in Statistics and Probability (101 citations), Management Science and Operations Research (51 citations), Finance (32 citations), Space and Planetary Science (4 citations) and Bioengineering (15 citations). Jane Galbraith has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Virginia A. Clark, Olive Jean Dunn, David J. Bartholomew, Fiona Steele, Irini Moustaki, R. F. Galbraith, Mervyn Stone, M.A. Horton, Rachel A. McKendry and Marilyne Sousa. Their work appears in journals such as Journal of the Royal Statistical Society Series A (Statistics in Society), Journal of Applied Probability, Materials, Biometrics and Journal of the American Chemical Society.
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.