J. M. Cushing

10.3k total citations · 3 hit papers
157 papers, 7.4k citations indexed

About

J. M. Cushing is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Sociology and Political Science. According to data from OpenAlex, J. M. Cushing has authored 157 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Public Health, Environmental and Occupational Health, 72 papers in Genetics and 34 papers in Sociology and Political Science. Recurrent topics in J. M. Cushing's work include Mathematical and Theoretical Epidemiology and Ecology Models (92 papers), Evolution and Genetic Dynamics (72 papers) and Evolutionary Game Theory and Cooperation (34 papers). J. M. Cushing is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (92 papers), Evolution and Genetic Dynamics (72 papers) and Evolutionary Game Theory and Cooperation (34 papers). J. M. Cushing collaborates with scholars based in United States, Switzerland and Portugal. J. M. Cushing's co-authors include Nakul Chitnis, James M. Hyman, Robert A. Desharnais, Brian Dennis, Shandelle M. Henson, R. F. Costantino, Andris Abakuks, Yicang Zhou, Aaron A. King and Odo Diekmann and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

J. M. Cushing

155 papers receiving 6.8k citations

Hit Papers

Determining Important Paramete... 1977 2026 1993 2009 2008 1977 1978 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. M. Cushing United States 38 4.6k 2.8k 1.7k 1.1k 1.0k 157 7.4k
Chris Cosner United States 36 3.6k 0.8× 2.6k 0.9× 1.5k 0.9× 796 0.7× 1.0k 1.0× 140 5.9k
Odo Diekmann Netherlands 43 4.9k 1.1× 3.2k 1.1× 3.8k 2.3× 1.1k 1.0× 618 0.6× 140 9.6k
Robert Stephen Cantrell United States 35 2.7k 0.6× 1.9k 0.7× 1.2k 0.7× 759 0.7× 834 0.8× 123 5.4k
Roger Arditi France 35 2.8k 0.6× 2.6k 0.9× 770 0.5× 711 0.6× 1.3k 1.2× 78 5.0k
H. I. Freedman Canada 41 6.1k 1.3× 4.0k 1.4× 2.6k 1.5× 1.4k 1.3× 538 0.5× 122 7.7k
Mark Kot United States 28 2.2k 0.5× 1.9k 0.7× 625 0.4× 517 0.5× 1.3k 1.3× 48 5.0k
Sergei Petrovskii United Kingdom 40 3.1k 0.7× 2.4k 0.8× 888 0.5× 738 0.7× 961 0.9× 164 5.4k
Yang Kuang United States 48 5.5k 1.2× 3.6k 1.3× 2.8k 1.7× 729 0.6× 650 0.6× 202 8.6k
W. S. C. Gurney United Kingdom 38 2.1k 0.5× 1.6k 0.6× 530 0.3× 606 0.5× 1.5k 1.4× 78 4.9k
Mats Gyllenberg Finland 38 2.0k 0.4× 2.1k 0.7× 591 0.4× 1.2k 1.1× 1.1k 1.1× 173 5.7k

Countries citing papers authored by J. M. Cushing

Since Specialization
Citations

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

Fields of papers citing papers by J. M. Cushing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. M. Cushing. 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 J. M. Cushing. The network helps show where J. M. Cushing may publish in the future.

Co-authorship network of co-authors of J. M. Cushing

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

All Works

20 of 20 papers shown
1.
Elaydi, Saber & J. M. Cushing. (2024). Discrete Mathematical Models in Population Biology. 7 indexed citations
2.
Olaru, Sorin, J. M. Cushing, Saber Elaydi, & René Lozi. (2024). Difference Equations, Discrete Dynamical Systems and Applications. Springer proceedings in mathematics & statistics.
3.
Cushing, J. M., Junpyo Park, Alex Farrell, & Nakul Chitnis. (2023). Treatment outcome in an SI model with evolutionary resistance: a Darwinian model for the evolution of resistance. Journal of Biological Dynamics. 17(1). 2255061–2255061. 8 indexed citations
4.
Cushing, J. M., Shandelle M. Henson, & James L. Hayward. (2023). Modeling Behavior and Population Dynamics. 2 indexed citations
5.
Cushing, J. M., et al.. (2021). A DARWINIAN DYNAMIC MODEL FOR THE EVOLUTION OF POST-REPRODUCTION SURVIVAL. Journal of Biological Systems. 29(2). 433–450. 12 indexed citations
6.
Cushing, J. M.. (2019). Difference equations as models of evolutionary population dynamics. Journal of Biological Dynamics. 13(1). 103–127. 24 indexed citations
7.
Cushing, J. M.. (2019). Discrete time darwinian dynamics and semelparity versus iteroparity. Mathematical Biosciences & Engineering. 16(4). 1815–1835. 9 indexed citations
8.
Cushing, J. M. & Shandelle M. Henson. (2018). Periodic matrix models for seasonal dynamics of structured populations with application to a seabird population. Journal of Mathematical Biology. 77(6-7). 1689–1720. 10 indexed citations
9.
Cushing, J. M., et al.. (2017). A bifurcation theorem for evolutionary matrix models with multiple traits. Journal of Mathematical Biology. 75(2). 491–520. 7 indexed citations
10.
Robertson, Suzanne L. & J. M. Cushing. (2011). Spatial segregation in stage-structured populations with an application toTribolium. Journal of Biological Dynamics. 5(5). 398–409. 7 indexed citations
11.
Cushing, J. M.. (2010). A bifurcation theorem for Darwinian matrix models. Nonlinear studies. 17(1). 1–13. 10 indexed citations
12.
Cushing, J. M.. (2010). On the dynamics of a class of Darwinian matrix models. 10(2). 103–116. 1 indexed citations
13.
Chitnis, Nakul, James M. Hyman, & J. M. Cushing. (2008). Determining Important Parameters in the Spread of Malaria Through the Sensitivity Analysis of a Mathematical Model. Bulletin of Mathematical Biology. 70(5). 1272–1296. 1231 indexed citations breakdown →
14.
Elaydi, Saber, J. M. Cushing, Rupert Lasser, et al.. (2007). Proceedings of the International Conference Difference Equations, special functions and orthogonal polynomials, Munich, Germany, 25-30 July 2005. WORLD SCIENTIFIC eBooks. 2 indexed citations
15.
Cushing, J. M.. (1985). Global branches of equilibrium solutions of the McKendrick equations for age-structured population growth. Computers & Mathematics with Applications. 11(1-3). 175–188. 11 indexed citations
16.
Cushing, J. M.. (1983). Bifurcation of time periodic solutions of the McKendrick equations with applications to population dynamics. Computers & Mathematics with Applications. 9(3). 459–478. 22 indexed citations
17.
Cushing, J. M.. (1975). Stability of perturbed Volterra integral equations. Journal of Mathematical Analysis and Applications. 50(2). 325–340. 3 indexed citations
18.
Cushing, J. M.. (1973). Nonlinear Steklov problems on nonsymmetric domains. Journal of Mathematical Analysis and Applications. 43(3). 743–753. 2 indexed citations
19.
Cushing, J. M.. (1972). Nonlinear Steklov problems on the unit circle. II (and a hydrodynamical application). Journal of Mathematical Analysis and Applications. 39(2). 267–278. 4 indexed citations
20.
Cushing, J. M.. (1969). Uniqueness and comparison of harmonic functions under nonlinear boundary conditions. Journal of Mathematical Analysis and Applications. 28(3). 581–589. 1 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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