Axel Gandy
- Modeling and Simulation top 1%
- Economics and Econometrics top 5%
- Infectious Diseases top 10%
- Statistics and Probability top 5%
- Epidemiology
- Co-authors
- Uwe JensenLuitgard Anna Maria VeraartDavid BrayshawSwapnil MishraSeth FlaxmanH. Juliette T. UnwinThomas A. MellanDaniel J. Laydon
- Topics
- Statistical Methods and Inference (14 papers)COVID-19 epidemiological studies (7 papers)Advanced Statistical Process Monitoring (6 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Axel Gandy
42 papers receiving 704 citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Modeling and Simulation 264
- Economics and Econometrics 175
- Infectious Diseases 128
- Statistics and Probability 108
- Epidemiology 80
Countries citing papers authored by Axel Gandy
This map shows the geographic impact of Axel Gandy'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 Axel Gandy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Axel Gandy more than expected).
Fields of papers citing papers by Axel Gandy
This network shows the impact of papers produced by Axel Gandy. 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 Axel Gandy. The network helps show where Axel Gandy may publish in the future.
Co-authorship network of co-authors of Axel Gandy
This figure shows the co-authorship network connecting the top 25 collaborators of Axel Gandy. A scholar is included among the top collaborators of Axel Gandy 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 Axel Gandy. Axel Gandy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 15 | |
| 7 | 36 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 6 | |
| 11 | AN ALGORITHM TO COMPUTE THE POWER OF MONTE CARLO TESTS WITH GUARANTEED PRECISION1 | 3 |
| 12 | 28 | |
| 13 | 5 | |
| 14 | 23 | |
| 15 | 25 | |
| 16 | 5 | |
| 17 | 2 | |
| 18 | Sequential Computation of p-values based on (Re-)Sampling with a Guaranteed Error Bound | 1 |
| 19 | 9 | |
| 20 | A non-parametric approach to software reliability: Research Articles | 4 |
About Axel Gandy
Axel Gandy is a scholar working on Statistics and Probability, Modeling and Simulation and Statistics, Probability and Uncertainty, having authored 45 papers that have together received 727 indexed citations. Recurring topics across this work include Statistical Methods and Inference (14 papers), COVID-19 epidemiological studies (7 papers) and Advanced Statistical Process Monitoring (6 papers). The work is most often cited by research in Modeling and Simulation (264 citations), Statistics and Probability (108 citations) and Statistics, Probability and Uncertainty (60 citations). Axel Gandy has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Uwe Jensen, Luitgard Anna Maria Veraart, David Brayshaw, Swapnil Mishra, Seth Flaxman, H. Juliette T. Unwin, Thomas A. Mellan, Daniel J. Laydon, Katy A. M. Gaythorpe and Christl A. Donnelly. Their work appears in journals such as PLoS ONE, Management Science and Journal of Virology.
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.