Annabel Allison
- Statistics and Probability top 5%
- Surgery
- Economics and Econometrics
- General Health Professions
- Epidemiology
- Co-authors
- Laura FlightMunyaradzi DimairoSteven A. JuliousBradley E. SmithStephen J. WaltersSimon BondLaura MandefieldEllen Lee
- Topics
- Statistical Methods in Clinical Trials (4 papers)Health Systems, Economic Evaluations, Quality of Life (3 papers)Anesthesia and Pain Management (2 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyOrthopedics and Sports Medicine
- Journals
- SHILAP Revista de lepidopterologíaBMC Medical Research MethodologyPsycho-Oncology
- Partner nations
- United KingdomSwitzerlandAustria
In The Last Decade
Annabel Allison
11 papers receiving 188 citations
Peers
Comparison fields: 5 of 62
- Statistics and Probability 59
- Surgery 49
- Economics and Econometrics 40
- General Health Professions 26
- Epidemiology 26
Countries citing papers authored by Annabel Allison
This map shows the geographic impact of Annabel Allison'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 Annabel Allison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annabel Allison more than expected).
Fields of papers citing papers by Annabel Allison
This network shows the impact of papers produced by Annabel Allison. 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 Annabel Allison. The network helps show where Annabel Allison may publish in the future.
Co-authorship network of co-authors of Annabel Allison
This figure shows the co-authorship network connecting the top 25 collaborators of Annabel Allison. A scholar is included among the top collaborators of Annabel Allison 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 Annabel Allison. Annabel Allison 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 | 6 | |
| 3 | 3 | |
| 4 | 16 | |
| 5 | 25 | |
| 6 | 9 | |
| 7 | 30 | |
| 8 | 23 | |
| 9 | 58 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 15 |
About Annabel Allison
Annabel Allison is a scholar working on Statistics and Probability, Internal Medicine and Statistics, Probability and Uncertainty, having authored 12 papers that have together received 190 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Anesthesia and Pain Management (2 papers). The work is most often cited by research in Statistics and Probability (59 citations), Statistics, Probability and Uncertainty (23 citations) and Orthopedics and Sports Medicine (14 citations). Annabel Allison has collaborated with scholars based in United Kingdom, Switzerland and Austria. Frequent co-authors include Laura Flight, Munyaradzi Dimairo, Steven A. Julious, Bradley E. Smith, Stephen J. Walters, Simon Bond, Laura Mandefield, Ellen Lee, Lynda Wyld and Malcolm Reed. Their work appears in journals such as SHILAP Revista de lepidopterología, BMC Medical Research Methodology and Psycho-Oncology.
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.