Dawn M. Kaufman
- Nature and Landscape Conservation top 0.1%
- Ecology top 0.2%
- Ecological Modeling top 0.05%
- Ecology, Evolution, Behavior and Systematics top 0.2%
- Global and Planetary Change top 1%
- Co-authors
- Michael R. WilligRichard D. StevensJames H. BrownGeorge C. StevensEileen M. O’BrienJeremy T. KerrDavid J. CurrieBradford A. Hawkins
- Topics
- Ecology and Vegetation Dynamics Studies (11 papers)Wildlife Ecology and Conservation (10 papers)Animal Ecology and Behavior Studies (7 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Dawn M. Kaufman
23 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Nature and Landscape Conservation 4.2k
- Ecology 3.8k
- Ecological Modeling 3.4k
- Ecology, Evolution, Behavior and Systematics 2.6k
- Global and Planetary Change 1.5k
Countries citing papers authored by Dawn M. Kaufman
This map shows the geographic impact of Dawn M. Kaufman'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 Dawn M. Kaufman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawn M. Kaufman more than expected).
Fields of papers citing papers by Dawn M. Kaufman
This network shows the impact of papers produced by Dawn M. Kaufman. 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 Dawn M. Kaufman. The network helps show where Dawn M. Kaufman may publish in the future.
Co-authorship network of co-authors of Dawn M. Kaufman
This figure shows the co-authorship network connecting the top 25 collaborators of Dawn M. Kaufman. A scholar is included among the top collaborators of Dawn M. Kaufman 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 Dawn M. Kaufman. Dawn M. Kaufman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 229 | |
| 7 | 156 | |
| 8 | 124 | |
| 9 | Predictions and tests of climate‐based hypotheses of broad‐scale variation in taxonomic richnessbreakdown → | 976 |
| 10 | Similarities in body size distributions of small-bodied flying vertebrates | 21 |
| 11 | 161 | |
| 12 | 121 | |
| 13 | 296 | |
| 14 | ENERGY, WATER, AND BROAD-SCALE GEOGRAPHIC PATTERNS OF SPECIES RICHNESSbreakdown → | 1885 |
| 15 | 408 | |
| 16 | 76 | |
| 17 | 3 | |
| 18 | 4 | |
| 19 | 140 | |
| 20 | 3 |
About Dawn M. Kaufman
Dawn M. Kaufman is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Paleontology, having authored 23 papers that have together received 7.9k indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (11 papers), Wildlife Ecology and Conservation (10 papers) and Animal Ecology and Behavior Studies (7 papers). The work is most often cited by research in Ecological Modeling (3.4k citations), Nature and Landscape Conservation (4.2k citations) and Ecology (3.8k citations). Dawn M. Kaufman has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Michael R. Willig, Richard D. Stevens, James H. Brown, George C. Stevens, Eileen M. O’Brien, Jeremy T. Kerr, David J. Currie, Bradford A. Hawkins, Thierry Oberdorff and Richard Field. Their work appears in journals such as Ecology, The American Naturalist and Global Change Biology.
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.