Anna V. McGann

425 total citations
13 papers, 290 citations indexed

About

Anna V. McGann is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Computer Networks and Communications. According to data from OpenAlex, Anna V. McGann has authored 13 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Modeling and Simulation, 7 papers in Public Health, Environmental and Occupational Health and 2 papers in Computer Networks and Communications. Recurrent topics in Anna V. McGann's work include Fractional Differential Equations Solutions (11 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers) and COVID-19 epidemiological studies (4 papers). Anna V. McGann is often cited by papers focused on Fractional Differential Equations Solutions (11 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers) and COVID-19 epidemiological studies (4 papers). Anna V. McGann collaborates with scholars based in Australia, South Africa and Spain. Anna V. McGann's 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 and has published in prestigious journals such as Physica A Statistical Mechanics and its Applications, SIAM Review and Chaos Solitons & Fractals.

In The Last Decade

Anna V. McGann

12 papers receiving 281 citations

Peers

Anna V. McGann
Anna V. McGann
Citations per year, relative to Anna V. McGann Anna V. McGann (= 1×) peers Leila Torkzadeh

Countries citing papers authored by Anna V. McGann

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

13 of 13 papers shown
1.
Angstmann, Christopher N., et al.. (2025). Delay infectivity and delay recovery SIR model. Physica A Statistical Mechanics and its Applications. 670. 130627–130627.
2.
Angstmann, Christopher N., et al.. (2021). A General Framework for Fractional Order Compartment Models. SIAM Review. 63(2). 375–392. 26 indexed citations
3.
Abad, E., et al.. (2020). Reaction-diffusion and reaction-subdiffusion equations on arbitrarily evolving domains. Physical review. E. 102(3). 32111–32111. 13 indexed citations
4.
Angstmann, Christopher N., B. I. Henry, & Anna V. McGann. (2019). Time-fractional geometric Brownian motion from continuous time random walks. Physica A Statistical Mechanics and its Applications. 526. 121002–121002. 6 indexed citations
5.
Angstmann, Christopher N., B. I. Henry, Byron A. Jacobs, & Anna V. McGann. (2018). An explicit numerical scheme for solving fractional order compartment models from the master equations of a stochastic process. Communications in Nonlinear Science and Numerical Simulation. 68. 188–202. 11 indexed citations
6.
Angstmann, Christopher N., B. I. Henry, Byron A. Jacobs, & Anna V. McGann. (2017). Integrablization of time fractional PDEs. Computers & Mathematics with Applications. 73(6). 1053–1062. 1 indexed citations
7.
Angstmann, Christopher N., B. I. Henry, & Anna V. McGann. (2017). Generalized fractional diffusion equations for subdiffusion in arbitrarily growing domains. Physical review. E. 96(4). 42153–42153. 10 indexed citations
8.
Angstmann, Christopher N., B. I. Henry, & Anna V. McGann. (2017). A Fractional-Order Infectivity and Recovery SIR Model. Fractal and Fractional. 1(1). 11–11. 38 indexed citations
9.
Angstmann, Christopher N., B. I. Henry, Byron A. Jacobs, & Anna V. McGann. (2017). A time-fractional generalised advection equation from a stochastic process. Chaos Solitons & Fractals. 102. 175–183. 15 indexed citations
10.
Angstmann, Christopher N., et al.. (2017). Fractional Order Compartment Models. SIAM Journal on Applied Mathematics. 77(2). 430–446. 39 indexed citations
11.
Walsh, James, Christopher N. Angstmann, Anna V. McGann, et al.. (2016). Patterning of the MinD cell division protein in cells of arbitrary shape can be predicted using a heuristic dispersion relation. AIMS Biophysics. 3(1). 119–145. 3 indexed citations
12.
Angstmann, Christopher N., B. I. Henry, & Anna V. McGann. (2016). A fractional-order infectivity SIR model. Physica A Statistical Mechanics and its Applications. 452. 86–93. 80 indexed citations
13.
Angstmann, Christopher N., B. I. Henry, & Anna V. McGann. (2015). A fractional order recovery SIR model from a stochastic process. arXiv (Cornell University). 48 indexed citations

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.

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