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- Jim M Cushing

Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
discipline in contrast to General H-index which accounts for publications across all
disciplines.
Citations
Publications
World Ranking
National Ranking

Mathematics
D-index
43
Citations
10,265
158
World Ranking
1142
National Ranking
526

2013 - Fellow of the American Mathematical Society

- Ecology
- Bifurcation theory
- Predation

The Mathematical analysis research Jim M. Cushing does as part of his general Attractor study is frequently linked to other disciplines of science, such as Statistical physics, therefore creating a link between diverse domains of science. Mathematical analysis and Attractor are frequently intertwined in his study. He integrates Statistical physics with Thermodynamics in his research. He brings together Thermodynamics and Volume (thermodynamics) to produce work in his papers. His Mathematical economics study integrates concerns from other disciplines, such as Machine learning, Stability (learning theory) and Population, Demography. Jim M. Cushing performs multidisciplinary studies into Machine learning and Stability (learning theory) in his work. Much of his study explores Population relationship to Population model. Jim M. Cushing regularly links together related areas like Population model in his Demography studies. Jim M. Cushing is researching Predation as part of the investigation of Predator and Cannibalism.

- Chaotic Dynamics in an Insect Population (380 citations)
- Bifurcation Analysis of a Mathematical Model for Malaria Transmission (344 citations)
- Nonlinear Demographic Dynamics: Mathematical Models, Statistical Methods, and Biological Experiments (215 citations)

Among his Ecology studies, you can observe a synthesis of other disciplines of science such as Competition (biology) and Predation. Jim M. Cushing carries out multidisciplinary research, doing studies in Predation and Ecology. His study on Population is mostly dedicated to connecting different topics, such as Population model. Population model and Population are commonly linked in his work. In his research, he performs multidisciplinary study on Demography and Statistics. Jim M. Cushing connects Statistics with Demography in his study. In his works, he undertakes multidisciplinary study on Applied mathematics and Mathematical analysis. He incorporates Mathematical analysis and Applied mathematics in his studies. In his work, he performs multidisciplinary research in Quantum mechanics and Statistical physics.

- Population (57.01%)
- Demography (57.01%)
- Applied mathematics (48.60%)

- Population (83.33%)
- Demography (83.33%)
- Mathematical economics (50.00%)

His research investigates the connection between Chromatography and topics such as Matrix (chemical analysis) that intersect with issues in Composite material. As part of his studies on Composite material, Jim M. Cushing often connects relevant areas like Matrix (chemical analysis). Cannibalism and Population cycle are the subject areas of his Predation study. His research on Population cycle often connects related topics like Population. His Population study frequently intersects with other fields, such as Leslie matrix. Jim M. Cushing undertakes multidisciplinary investigations into Leslie matrix and Density dependence in his work. He integrates Density dependence and Population growth in his studies. Jim M. Cushing connects Demography with Population growth in his research. Many of his studies on Mathematical economics apply to Evolutionarily stable strategy as well.

- The many guises of R0 (a didactic note) (53 citations)
- Backward bifurcations and strong Allee effects in matrix models for the dynamics of structured populations (31 citations)
- Difference equations as models of evolutionary population dynamics (17 citations)

- Genetics
- Evolutionary game theory
- Offspring

His Population study frequently draws connections to other fields, such as Basic reproduction number. His work often combines Demography and Leslie matrix studies. Jim M. Cushing connects Leslie matrix with Demography in his research. Jim M. Cushing performs multidisciplinary studies into Quantum mechanics and Statistical physics in his work. In his research, he performs multidisciplinary study on Statistical physics and Quantum mechanics. His studies link Population with Allee effect. In his work, he performs multidisciplinary research in Stability (learning theory) and Machine learning. Jim M. Cushing carries out multidisciplinary research, doing studies in Machine learning and Stability (learning theory). Bifurcation is closely attributed to Nonlinear system in his study.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Integrodifferential Equations and Delay Models in Population Dynamics

Jim M. Cushing.

**(1977)**

1201 Citations

Determining important parameters in the spread of malaria through the sensitivity analysis of a mathematical model.

Nakul Chitnis;Nakul Chitnis;Nakul Chitnis;James M. Hyman;James M. Hyman;Jim M. Cushing.

Bulletin of Mathematical Biology **(2008)**

1153 Citations

An introduction to structured population dynamics

J. M. Cushing.

**(1987)**

782 Citations

Chaotic Dynamics in an Insect Population

.

Science **(1997)**

516 Citations

Bifurcation Analysis of a Mathematical Model for Malaria Transmission

Nakul Chitnis;J. M. Cushing;James Mac Hyman.

Siam Journal on Applied Mathematics **(2006)**

483 Citations

Periodic Time-Dependent Predator-Prey Systems

J. M. Cushing.

Siam Journal on Applied Mathematics **(1977)**

343 Citations

Can noise induce chaos

Brian Dennis;Robert A. Desharnais;J. M. Cushing;Shandelle M. Henson.

Oikos **(2003)**

336 Citations

Chaos in Ecology: Experimental Nonlinear Dynamics

.

**(2002)**

312 Citations

NONLINEAR DEMOGRAPHIC DYNAMICS: MATHEMATICAL MODELS, STATISTICAL METHODS, AND BIOLOGICAL EXPERIMENTS'

.

Ecological Monographs **(1995)**

306 Citations

Experimentally induced transitions in the dynamic behaviour of insect populations

.

Nature **(1995)**

268 Citations

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