Anna V. McGann
- Modeling and Simulation top 1%
- Public Health, Environmental and Occupational Health top 10%
- Statistical and Nonlinear Physics top 10%
- Applied Mathematics top 10%
- Numerical Analysis
- Co-authors
- B. I. HenryChristopher N. AngstmannJohn M. MurrayJames NicholsByron A. JacobsE. AbadS. B. YusteIain G. Duggin
- Topics
- Fractional Differential Equations Solutions (11 papers)Mathematical and Theoretical Epidemiology and Ecology Models (7 papers)COVID-19 epidemiological studies (4 papers)
- Cited by
- Modeling and SimulationNumerical AnalysisPublic Health, Environmental and Occupational Health
- Partner nations
- AustraliaSouth AfricaSpain
In The Last Decade
Anna V. McGann
12 papers receiving 281 citations
Peers
Comparison fields: 5 of 59
- Modeling and Simulation 215
- Public Health, Environmental and Occupational Health 139
- Statistical and Nonlinear Physics 50
- Applied Mathematics 44
- Numerical Analysis 27
Countries citing papers authored by Anna V. McGann
This map shows the geographic impact of Anna V. McGann'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 Anna V. McGann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna V. McGann more than expected).
Fields of papers citing papers by Anna V. McGann
This network shows the impact of papers produced by Anna V. McGann. 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 Anna V. McGann. The network helps show where Anna V. McGann may publish in the future.
Co-authorship network of co-authors of Anna V. McGann
This figure shows the co-authorship network connecting the top 25 collaborators of Anna V. McGann. A scholar is included among the top collaborators of Anna V. McGann 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 Anna V. McGann. Anna V. McGann 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 | 26 | |
| 3 | 13 | |
| 4 | 6 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 38 | |
| 9 | 15 | |
| 10 | 39 | |
| 11 | 3 | |
| 12 | 80 | |
| 13 | 48 |
About Anna V. McGann
Anna V. McGann is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Numerical Analysis, having authored 13 papers that have together received 290 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (11 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers) and COVID-19 epidemiological studies (4 papers). The work is most often cited by research in Modeling and Simulation (215 citations), Numerical Analysis (27 citations) and Public Health, Environmental and Occupational Health (139 citations). Anna V. McGann has collaborated with scholars based in Australia, South Africa and Spain. Frequent co-authors include B. I. Henry, Christopher N. Angstmann, John M. Murray, James Nichols, Byron A. Jacobs, E. Abad, S. B. Yuste, Iain G. Duggin, Paul M. G. Curmi and James Walsh. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, SIAM Review and Chaos Solitons & Fractals.
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.