Sam Cushman
Impact in
- Ecological Modeling top 1%
- Species Distribution and Climate Change
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- Ecology and Vegetation Dynamics Studies
- Fish Ecology and Management Studies
Papers in
- Co-authors
- Kevin McGarigal (7 shared papers)Susan G. Stafford (7 shared papers)Erin L. Landguth (4 shared papers)Gordon Luikart (2 shared papers)Michael K. Schwartz (2 shared papers)Melanie A. Murphy (2 shared papers)Kevin S. McKelvey (1 shared paper)Niko Balkenhol (3 shared papers)
- Journals
- Animal Conservation (3 papers)Landscape Ecology (2 papers)Molecular Ecology (2 papers)Molecular Ecology Resources (1 paper)Frontiers in Genetics (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Sam Cushman
21 papers receiving 2.4k citations
Sam Cushman's Hit Papers
Peers
Comparison fields: 5 of 131
- Ecological Modeling 410
- Nature and Landscape Conservation 749
- Ecology 1.6k
- Genetics 795
- Developmental Biology 61
Countries citing papers authored by Sam Cushman
This map shows the geographic impact of Sam Cushman'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 Sam Cushman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Cushman more than expected).
Fields of papers citing papers by Sam Cushman
This network shows the impact of papers produced by Sam Cushman. 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 Sam Cushman. The network helps show where Sam Cushman may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam Cushman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multivariate Statistics for Wildlife and Ecology Research Hit paper breakdown → | 2000 | 1308 |
| 2 | 2010 | 430 | |
| 3 | 2009 | 170 | |
| 4 | 2011 | 169 | |
| 5 | 2012 | 136 | |
| 6 | 2015 | 120 | |
| 7 | 2000 | 74 | |
| 8 | 2014 | 70 | |
| 9 | 2016 | 46 | |
| 10 | 2016 | 35 | |
| 11 | 2014 | 26 | |
| 12 | 2000 | 14 | |
| 13 | 2000 | 12 | |
| 14 | 2020 | 10 | |
| 15 | 2000 | 9 | |
| 16 | 2019 | 5 | |
| 17 | 2000 | 4 | |
| 18 | 2000 | 4 | |
| 19 | 2021 | 2 | |
| 20 | 2000 | 2 |
About Sam Cushman
Sam Cushman is a scholar working on Ecology, Genetics, Ecological Modeling, Nature and Landscape Conservation and Insect Science, having authored 22 papers that have together received 2.6k indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (8 papers), Genetic diversity and population structure (6 papers), Species Distribution and Climate Change (5 papers), Wildlife-Road Interactions and Conservation (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Genetic and phenotypic traits in livestock (4 papers), Statistical Methods and Applications (2 papers) and Advanced Statistical Methods and Models (1 paper). The work is most often cited by research in Ecological Modeling (410 citations), Nature and Landscape Conservation (749 citations), Ecology (1.6k citations), Genetics (795 citations) and Developmental Biology (61 citations). Sam Cushman has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Kevin McGarigal, Susan G. Stafford, Erin L. Landguth, Gordon Luikart, Michael K. Schwartz, Melanie A. Murphy, Kevin S. McKelvey, Niko Balkenhol, María C. Mateo‐Sánchez and Santiago Saura. Their work appears in journals such as Animal Conservation, Landscape Ecology, Molecular Ecology, Molecular Ecology Resources and Frontiers in Genetics.
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.