Matthew J. Kauffman
- Ecological Modeling top 0.5%
- Species Distribution and Climate Change 10
- Ecology top 0.2%
- Wildlife Ecology and Conservation 84
- Rangeland and Wildlife Management 37
- Ecology and biodiversity studies 20
- Wildlife-Road Interactions and Conservation 14
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- Ecology and Vegetation Dynamics Studies 16
- Small Animals top 0.5%
- Animal Behavior and Welfare Studies 16
- Developmental Biology top 2%
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- Rangeland Management and Livestock Ecology 12
- Co-authors
- Hall SawyerJerod A. MerkleKevin L. MonteithArthur D. MiddletonRyan M. NielsonErik S. JulesEllen O. AikensDouglas E. McWhirter
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Matthew J. Kauffman
107 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 133
- Ecological Modeling 808
- Ecology 4.3k
- Nature and Landscape Conservation 1.2k
- Small Animals 590
- Developmental Biology 141
Countries citing papers authored by Matthew J. Kauffman
This map shows the geographic impact of Matthew J. Kauffman'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 J. Kauffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Kauffman more than expected).
Fields of papers citing papers by Matthew J. Kauffman
This network shows the impact of papers produced by Matthew J. Kauffman. 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 J. Kauffman. The network helps show where Matthew J. Kauffman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew J. Kauffman, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 20 | |
| 12 | 2022 | 12 | |
| 13 | 2022 | 10 | |
| 14 | 2021 | 23 | |
| 15 | 2020 | 4 | |
| 16 | 2012 | 56 | |
| 17 | NUTRITONAL CONDITION OF ADULT FEMALE SHIRAS MOOSE IN NORTHWEST WYOMING | 2010 | 5 |
| 18 | 2009 | 4 | |
| 19 | 2009 | 237 | |
| 20 | 2007 | 271 |
About Matthew J. Kauffman
Matthew J. Kauffman is a scholar working on Ecology, Ecological Modeling and Small Animals, having authored 113 papers that have together received 5.4k indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (84 papers), Rangeland and Wildlife Management (37 papers), Ecology and biodiversity studies (20 papers), Ecology and Vegetation Dynamics Studies (16 papers), Animal Behavior and Welfare Studies (16 papers), Wildlife-Road Interactions and Conservation (14 papers), Rangeland Management and Livestock Ecology (12 papers) and Species Distribution and Climate Change (10 papers). The work is most often cited by research in Ecological Modeling (808 citations), Ecology (4.3k citations) and Nature and Landscape Conservation (1.2k citations). Matthew J. Kauffman has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Hall Sawyer, Jerod A. Merkle, Kevin L. Monteith, Arthur D. Middleton, Ryan M. Nielson, Erik S. Jules, Ellen O. Aikens, Douglas E. McWhirter, Matthew M. Hayes and Daniel R. MacNulty. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.