Matthew M. Hayes
- Ecological Modeling top 5%
- Species Distribution and Climate Change 3
- Ecology top 5%
- Wildlife Ecology and Conservation 10
- Rangeland and Wildlife Management 3
- Ecology and biodiversity studies 3
- Small Animals top 5%
- Animal Behavior and Welfare Studies 4
- Global and Planetary Change top 10%
- Fire effects on ecosystems 4
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- Rangeland Management and Livestock Ecology 2
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- Genetic and phenotypic traits in livestock 2
- Co-authors
- Matthew J. KauffmanKevin L. MonteithHall SawyerMelanie A. MurphyScott N. MillerArthur D. MiddletonJonathan B. ArmstrongGaku Takimoto
- Journals
- Journal of Wildlife Management (3 papers)Ecology (2 papers)Ecological Applications (2 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Matthew M. Hayes
13 papers receiving 634 citations
Peers
Comparison fields: 5 of 63
- Ecological Modeling 113
- Ecology 553
- Nature and Landscape Conservation 172
- Small Animals 62
- Global and Planetary Change 128
Countries citing papers authored by Matthew M. Hayes
This map shows the geographic impact of Matthew M. Hayes'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 Matthew M. Hayes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew M. Hayes more than expected).
Fields of papers citing papers by Matthew M. Hayes
This network shows the impact of papers produced by Matthew M. Hayes. 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 Matthew M. Hayes. The network helps show where Matthew M. Hayes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew M. Hayes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2022 | 10 | |
| 3 | 2020 | 9 | |
| 4 | 2020 | 4 | |
| 5 | 2019 | 16 | |
| 6 | 2018 | 10 | |
| 7 | 2018 | 28 | |
| 8 | 2016 | 17 | |
| 9 | 2016 | 3 | |
| 10 | 2016 | 139 | |
| 11 | 2016 | 55 | |
| 12 | 2016 | 241 | |
| 13 | 2014 | 113 |
About Matthew M. Hayes
Matthew M. Hayes is a scholar working on Ecological Modeling, Small Animals and Ecology, having authored 13 papers that have together received 649 indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (10 papers), Animal Behavior and Welfare Studies (4 papers), Fire effects on ecosystems (4 papers), Rangeland and Wildlife Management (3 papers), Species Distribution and Climate Change (3 papers), Ecology and biodiversity studies (3 papers), Rangeland Management and Livestock Ecology (2 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Ecological Modeling (113 citations), Ecology (553 citations) and Nature and Landscape Conservation (172 citations). Matthew M. Hayes has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Matthew J. Kauffman, Kevin L. Monteith, Hall Sawyer, Melanie A. Murphy, Scott N. Miller, Arthur D. Middleton, Jonathan B. Armstrong, Gaku Takimoto, Daniel E. Schindler and Jerod A. Merkle. Their work appears in journals such as Journal of Wildlife Management, Ecology, Ecological Applications, Proceedings of the Royal Society B Biological Sciences and Ecology and Evolution.
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.