Norman T. J. Bailey
- Public Health, Environmental and Occupational Health top 1%
- Modeling and Simulation top 0.2%
- Genetics top 2%
- Molecular Biology
- Ecology top 2%
- Co-authors
- J. F. C. KingmánRonald Aylmer FisherCedric A. B. SmithDavid BartonM. S. BartlettVincent SchultzJames D. LawreyJ. L. Fyfe
- Topics
- COVID-19 epidemiological studies (26 papers)Mathematical and Theoretical Epidemiology and Ecology Models (10 papers)Healthcare Operations and Scheduling Optimization (6 papers)
- Partner nations
- United KingdomSwitzerlandPakistan
In The Last Decade
Norman T. J. Bailey
88 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 217
- Public Health, Environmental and Occupational Health 1.2k
- Modeling and Simulation 1.1k
- Genetics 977
- Molecular Biology 682
- Ecology 670
Countries citing papers authored by Norman T. J. Bailey
This map shows the geographic impact of Norman T. J. Bailey'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 Norman T. J. Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norman T. J. Bailey more than expected).
Fields of papers citing papers by Norman T. J. Bailey
This network shows the impact of papers produced by Norman T. J. Bailey. 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 Norman T. J. Bailey. The network helps show where Norman T. J. Bailey may publish in the future.
Co-authorship network of co-authors of Norman T. J. Bailey
This figure shows the co-authorship network connecting the top 25 collaborators of Norman T. J. Bailey. A scholar is included among the top collaborators of Norman T. J. Bailey 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 Norman T. J. Bailey. Norman T. J. Bailey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 11 | |
| 3 | 13 | |
| 4 | 22 | |
| 5 | The biomathematics of malaria | 140 |
| 6 | The Mathematical Theory of Infectious Diseases and Its Applicationsbreakdown → | 652 |
| 7 | 20 | |
| 8 | Mathematical models in biology and medicine : proceedings of the IFIP-TC4 Working Conference on Mathematical Models in Biology and Medicine, Varna, 6-11 September 1972 | 1 |
| 9 | 56 | |
| 10 | 76 | |
| 11 | The Elements of Stochastic Processes with Applications to the Natural Sciences.breakdown → | 331 |
| 12 | 3 | |
| 13 | Introduction to the mathematical theory of genetic linkage. | 210 |
| 14 | 2 | |
| 15 | 31 | |
| 16 | 32 | |
| 17 | 7 | |
| 18 | 18 | |
| 19 | 88 | |
| 20 | 4 |
About Norman T. J. Bailey
Norman T. J. Bailey is a scholar working on Modeling and Simulation, Statistics and Probability and Emergency Medical Services, having authored 91 papers that have together received 6.7k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (26 papers), Mathematical and Theoretical Epidemiology and Ecology Models (10 papers) and Healthcare Operations and Scheduling Optimization (6 papers). The work is most often cited by research in Modeling and Simulation (1.1k citations), Statistics and Probability (521 citations) and Emergency Medical Services (379 citations). Norman T. J. Bailey has collaborated with scholars based in United Kingdom, Switzerland and Pakistan. Frequent co-authors include J. F. C. Kingmán, Ronald Aylmer Fisher, Cedric A. B. Smith, David Barton, M. S. Bartlett, Vincent Schultz, James D. Lawrey, J. L. Fyfe, Rupert G. Miller and Lincoln E. Moses. Their work appears in journals such as Nature, Journal of the American Statistical Association and Biometrics.
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.