Brad H. McRae
- Ecology top 0.1%
- Global and Planetary Change top 0.5%
- Genetics top 0.5%
- Ecological Modeling top 0.2%
- Nature and Landscape Conservation top 0.5%
- Co-authors
- Paul BeierBrett G. DicksonViral B. ShahTimothy H. KeittDavid M. TheobaldJoshua J. LawlerKim T. ScribnerMarie-Josée Fortin
- Topics
- Wildlife Ecology and Conservation (23 papers)Wildlife-Road Interactions and Conservation (20 papers)Species Distribution and Climate Change (16 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Brad H. McRae
35 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Ecology 5.2k
- Global and Planetary Change 2.3k
- Genetics 2.0k
- Ecological Modeling 1.9k
- Nature and Landscape Conservation 1.5k
Countries citing papers authored by Brad H. McRae
This map shows the geographic impact of Brad H. McRae'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 Brad H. McRae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brad H. McRae more than expected).
Fields of papers citing papers by Brad H. McRae
This network shows the impact of papers produced by Brad H. McRae. 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 Brad H. McRae. The network helps show where Brad H. McRae may publish in the future.
Co-authorship network of co-authors of Brad H. McRae
This figure shows the co-authorship network connecting the top 25 collaborators of Brad H. McRae. A scholar is included among the top collaborators of Brad H. McRae 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 Brad H. McRae. Brad H. McRae is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 122 | |
| 3 | 224 | |
| 4 | 69 | |
| 5 | 143 | |
| 6 | 33 | |
| 7 | 76 | |
| 8 | 151 | |
| 9 | 283 | |
| 10 | 10 | |
| 11 | 206 | |
| 12 | 39 | |
| 13 | 202 | |
| 14 | 148 | |
| 15 | Use of resistance surfaces for landscape genetic studies: considerations for parameterization and analysisbreakdown → | 525 |
| 16 | 72 | |
| 17 | USING CIRCUIT THEORY TO MODEL CONNECTIVITY IN ECOLOGY, EVOLUTION, AND CONSERVATIONbreakdown → | 1618 |
| 18 | Circuit theory predicts gene flow in plant and animal populationsbreakdown → | 788 |
| 19 | Isolation by resistance.breakdown → | 763 |
| 20 | 123 |
About Brad H. McRae
Brad H. McRae is a scholar working on Ecological Modeling, Ecology and Nature and Landscape Conservation, having authored 35 papers that have together received 7.2k indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (23 papers), Wildlife-Road Interactions and Conservation (20 papers) and Species Distribution and Climate Change (16 papers). The work is most often cited by research in Ecological Modeling (1.9k citations), Ecology (5.2k citations) and Nature and Landscape Conservation (1.5k citations). Brad H. McRae has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Paul Beier, Brett G. Dickson, Viral B. Shah, Timothy H. Keitt, David M. Theobald, Joshua J. Lawler, Kim T. Scribner, Marie-Josée Fortin, Niko Balkenhol and Stephen F. Spear. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Ecology.
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.