William M. Schaffer

7.6k total citations · 3 hit papers
74 papers, 5.6k citations indexed

About

William M. Schaffer is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Ecology. According to data from OpenAlex, William M. Schaffer has authored 74 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Public Health, Environmental and Occupational Health, 21 papers in Genetics and 16 papers in Ecology. Recurrent topics in William M. Schaffer's work include Mathematical and Theoretical Epidemiology and Ecology Models (25 papers), Evolution and Genetic Dynamics (16 papers) and Nonlinear Dynamics and Pattern Formation (15 papers). William M. Schaffer is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (25 papers), Evolution and Genetic Dynamics (16 papers) and Nonlinear Dynamics and Pattern Formation (15 papers). William M. Schaffer collaborates with scholars based in United States, Denmark and India. William M. Schaffer's co-authors include Mark Kot, Lars Folke Olsen, Eric L. Charnov, M. Valentine Schaffer, Paul F. Elson, Michael L. Rosenzweig, Jeffrey C. Allen, Aaron A. King, Stephen L. Buchmann and Richard S. Inouye and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

William M. Schaffer

72 papers receiving 4.6k citations

Hit Papers

Selection for Optimal Life Histories: The Effects of Age ... 1973 2026 1990 2008 1974 1974 1973 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William M. Schaffer United States 38 1.8k 1.7k 1.7k 1.5k 1.3k 74 5.6k
Mark Kot United States 28 918 0.5× 1.9k 1.1× 1.3k 0.8× 1.2k 0.8× 2.2k 1.8× 48 5.0k
W. S. C. Gurney United Kingdom 38 701 0.4× 1.6k 0.9× 1.5k 0.9× 1.1k 0.7× 2.1k 1.6× 78 4.9k
Brian Dennis United States 40 1.3k 0.7× 1.8k 1.0× 3.4k 2.1× 2.4k 1.6× 1.4k 1.1× 86 7.1k
Nanako Shigesada Japan 27 759 0.4× 1.3k 0.8× 1.3k 0.8× 904 0.6× 1.7k 1.3× 52 4.3k
Alan A. Berryman United States 37 1.1k 0.6× 911 0.5× 3.2k 1.9× 915 0.6× 842 0.7× 78 5.0k
Peter Yodzis Canada 27 1.5k 0.9× 1.2k 0.7× 2.1k 1.3× 1.3k 0.9× 736 0.6× 54 4.8k
Roger Arditi France 35 865 0.5× 2.6k 1.5× 1.3k 0.8× 805 0.5× 2.8k 2.2× 78 5.0k
Alan J. McKane United Kingdom 41 1.2k 0.7× 1.6k 0.9× 802 0.5× 870 0.6× 758 0.6× 144 6.0k
Luděk Berec Czechia 27 1.1k 0.6× 1.7k 1.0× 1.5k 0.9× 888 0.6× 1.6k 1.3× 71 4.2k
Lewi Stone Israel 44 1.1k 0.6× 1.2k 0.7× 1.6k 1.0× 1.0k 0.7× 1.3k 1.0× 173 7.4k

Countries citing papers authored by William M. Schaffer

Since Specialization
Citations

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

Fields of papers citing papers by William M. Schaffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William M. Schaffer

This figure shows the co-authorship network connecting the top 25 collaborators of William M. Schaffer. A scholar is included among the top collaborators of William M. Schaffer 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 William M. Schaffer. William M. Schaffer 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.
Schaffer, William M., et al.. (2009). Controlling malaria: competition, seasonality and ‘slingshotting’ transgenic mosquitoes into natural populations. Journal of Biological Dynamics. 3(2-3). 286–304. 1 indexed citations
2.
Schaffer, William M.. (2008). Human population and carbon dioxide. Energy Policy. 36(7). 2761–2764. 2 indexed citations
3.
Schaffer, William M., et al.. (2007). Parametric dependence in model epidemics. I: Contact-related parameters. Journal of Biological Dynamics. 1(2). 183–195. 3 indexed citations
4.
Schaffer, William M., et al.. (2007). Parametric dependence in model epidemics. II: Non-contact rate-related parameters. Journal of Biological Dynamics. 1(3). 231–248. 2 indexed citations
5.
King, Aaron A. & William M. Schaffer. (2001). THE GEOMETRY OF A POPULATION CYCLE: A MECHANISTIC MODEL OF SNOWSHOE HARE DEMOGRAPHY. Ecology. 82(3). 814–830. 66 indexed citations
6.
King, Aaron A. & William M. Schaffer. (1999). The rainbow bridge: Hamiltonian limits and resonance in predator-prey dynamics. Journal of Mathematical Biology. 39(5). 439–469. 50 indexed citations
7.
Schaffer, William M., et al.. (1993). Transient periodicity and episodic predictability in biological dynamics. Mathematical Medicine and Biology A Journal of the IMA. 10(4). 227–247. 26 indexed citations
8.
Olsen, Lars Folke, et al.. (1993). The case for chaos in childhood epidemics. II. Predicting historical epidemics from mathematical models. Proceedings of the Royal Society B Biological Sciences. 254(1341). 257–273. 46 indexed citations
9.
Allen, Jeffrey C., et al.. (1993). Chaos reduces species extinction by amplifying local population noise. Nature. 364(6434). 229–232. 281 indexed citations
10.
Olsen, Lars Folke, et al.. (1993). Nonlinear analyses of periodic and chaotic time series from the peroxidase-oxidase reaction. The Journal of Physical Chemistry. 97(32). 8431–8441. 13 indexed citations
11.
Schaffer, William M., et al.. (1991). Population cycles in mammals and birds: Does periodicity scale with body size?. Journal of Theoretical Biology. 148(4). 469–493. 33 indexed citations
12.
Olsen, Lars Folke & William M. Schaffer. (1990). Chaos Versus Noisy Periodicity: Alternative Hypotheses for Childhood Epidemics. Science. 249(4968). 499–504. 235 indexed citations
13.
Olsen, Lars Folke, et al.. (1988). Oscillations and chaos in epidemics: A nonlinear dynamic study of six childhood diseases in Copenhagen, Denmark. Theoretical Population Biology. 33(3). 344–370. 160 indexed citations
14.
Kot, Mark & William M. Schaffer. (1986). Discrete-time growth-dispersal models. Mathematical Biosciences. 80(1). 109–136. 217 indexed citations
15.
Schaffer, William M. & Mark Kot. (1986). Chaos in ecological systems: The coals that Newcastle forgot. Trends in Ecology & Evolution. 1(3). 58–63. 115 indexed citations
16.
Schaffer, William M.. (1985). Can Nonlinear Dynamics Elucidate Mechanisms in Ecology and Epidemiology?. Mathematical Medicine and Biology A Journal of the IMA. 2(4). 221–252. 72 indexed citations
17.
Schaffer, William M.. (1978). A Note on the Theory of Reciprocal Altruism. The American Naturalist. 112(983). 250–254. 22 indexed citations
18.
Schaffer, William M.. (1977). Evolution, population dynamics, and stability: A comment. Theoretical Population Biology. 11(3). 326–329. 6 indexed citations
19.
Charnov, Eric L. & William M. Schaffer. (1973). Life-History Consequences of Natural Selection: Cole's Result Revisited. The American Naturalist. 107(958). 791–793. 384 indexed citations breakdown →
20.
Schaffer, William M.. (1968). Character Displacement and the Evolution of the Hominidae. The American Naturalist. 102(928). 559–571. 10 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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