C. Connell McCluskey

2.8k total citations
35 papers, 2.3k citations indexed

About

C. Connell McCluskey is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, C. Connell McCluskey has authored 35 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Public Health, Environmental and Occupational Health, 25 papers in Modeling and Simulation and 22 papers in Genetics. Recurrent topics in C. Connell McCluskey's work include Mathematical and Theoretical Epidemiology and Ecology Models (31 papers), COVID-19 epidemiological studies (22 papers) and Evolution and Genetic Dynamics (22 papers). C. Connell McCluskey is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (31 papers), COVID-19 epidemiological studies (22 papers) and Evolution and Genetic Dynamics (22 papers). C. Connell McCluskey collaborates with scholars based in Canada, United States and France. C. Connell McCluskey's co-authors include P. van den Driessche, Pierre Magal, Julien Arino, Glenn F. Webb, Yu Yang, Abba B. Gumel, James Watmough, James S. Muldowney, Fei Xu and Patrick De Leenheer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and SIAM Review.

In The Last Decade

C. Connell McCluskey

34 papers receiving 2.1k citations

Peers

C. Connell McCluskey

PHEOH

GENET

SPS

Andrei Korobeinikov Spain

Yicang Zhou China

Baojun Song United States

Wanbiao Ma China

Khalid Hattaf Morocco

Toshikazu Kuniya Japan

Jean M. Tchuenche Tanzania

Hai‐Feng Huo China

Wenzhang Huang United States

Noura Yousfi Morocco

Andrei Korobeinikov Spain

C. Connell McCluskey

2.3k ×1.2

PHEOH

1.7k ×1.0

1.5k ×1.1

GENET

227 ×1.3

206 ×1.2

SPS

Citations per year, relative to C. Connell McCluskey C. Connell McCluskey (= 1×) peers Andrei Korobeinikov

Countries citing papers authored by C. Connell McCluskey

Since Specialization

Citations

This map shows the geographic impact of C. Connell McCluskey'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 C. Connell McCluskey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Connell McCluskey more than expected).

Fields of papers citing papers by C. Connell McCluskey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Connell McCluskey. 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 C. Connell McCluskey. The network helps show where C. Connell McCluskey may publish in the future.

Co-authorship network of co-authors of C. Connell McCluskey

This figure shows the co-authorship network connecting the top 25 collaborators of C. Connell McCluskey. A scholar is included among the top collaborators of C. Connell McCluskey 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 C. Connell McCluskey. C. Connell McCluskey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

McCluskey, C. Connell. (2020). Lyapunov functions for disease models with immigration of infected hosts. Discrete and Continuous Dynamical Systems - B. 26(8). 4479–4491. 3 indexed citations

McCluskey, C. Connell, et al.. (2019). The effect of immigration of infectives on disease-free equilibria. Journal of Mathematical Biology. 79(3). 1015–1028. 13 indexed citations

Xu, Fei & C. Connell McCluskey. (2019). An investigation of the combined effect of an annual mass gathering event and seasonal infectiousness on disease outbreak. Mathematical Biosciences. 312. 50–58. 6 indexed citations

McCluskey, C. Connell, et al.. (2015). Global stability of a vaccination model with immigration. SHILAP Revista de lepidopterología. 12 indexed citations

McCluskey, C. Connell. (2015). Global stability for an $SEI$ model of infectious disease with age structure and immigration of infecteds. Mathematical Biosciences & Engineering. 13(2). 381–400. 27 indexed citations

McCluskey, C. Connell, et al.. (2014). Disease dynamics for the hometown of migrant workers. Mathematical Biosciences & Engineering. 11(5). 1175–1180. 8 indexed citations

McCluskey, C. Connell, et al.. (2014). Global stability for an SEI model of infectious disease with immigration. Applied Mathematics and Computation. 243. 684–689. 69 indexed citations

McCluskey, C. Connell, et al.. (2012). Global stability for an SEI epidemiological model with continuous age-structure in the exposed and infectious classes. Mathematical Biosciences & Engineering. 9(4). 819–841. 99 indexed citations

McCluskey, C. Connell, et al.. (2010). Global stability of an $SIR$ epidemic model with delay and general nonlinear incidence. Mathematical Biosciences & Engineering. 7(4). 837–850. 70 indexed citations

10.

Arino, Julien & C. Connell McCluskey. (2010). Effect of a sharp change of the incidence function on the dynamics of a simple disease. Journal of Biological Dynamics. 4(5). 490–505. 5 indexed citations

11.

McCluskey, C. Connell & David J. D. Earn. (2010). Attractivity of coherent manifolds in metapopulation models. Journal of Mathematical Biology. 62(4). 509–541. 1 indexed citations

12.

McCluskey, C. Connell. (2007). Global stability for a class of mass action systems allowing for latency in tuberculosis. Journal of Mathematical Analysis and Applications. 338(1). 518–535. 45 indexed citations

13.

Gumel, Abba B., et al.. (2006). An sveir model for assessing potential impact of an imperfect anti-SARS vaccine. Mathematical Biosciences & Engineering. 3(3). 485–512. 119 indexed citations

14.

Gumel, Abba B., C. Connell McCluskey, & P. van den Driessche. (2006). Mathematical Study of a Staged-Progression HIV Model with Imperfect Vaccine. Bulletin of Mathematical Biology. 68(8). 2105–2128. 68 indexed citations

15.

McCluskey, C. Connell, et al.. (2006). Lyapunov functions for tuberculosis models with fast and slow progression. Mathematical Biosciences & Engineering. 3(4). 603–614. 110 indexed citations

16.

McCluskey, C. Connell. (2005). A strategy for constructing Lyapunov functions for non-autonomous linear differential equations. Linear Algebra and its Applications. 409. 100–110. 18 indexed citations

17.

McCluskey, C. Connell, Eric Abella Roth, & P. van den Driessche. (2005). Implication of Ariaal sexual mixing on gonorrhea. American Journal of Human Biology. 17(3). 293–301. 4 indexed citations

18.

Ballyk, Mary, C. Connell McCluskey, & Gail S. K. Wolkowicz. (2005). Global analysis of competition for perfectly substitutable resources with linear response. Journal of Mathematical Biology. 51(4). 458–490. 28 indexed citations

19.

McCluskey, C. Connell & P. van den Driessche. (2004). Global Analysis of Two Tuberculosis Models. Journal of Dynamics and Differential Equations. 16(1). 139–166. 67 indexed citations

20.

McCluskey, C. Connell. (2002). A model of HIV/AIDS with staged progression and amelioration. Mathematical Biosciences. 181(1). 1–16. 82 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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