Brad H. McRae
- Ecological Modeling top 0.2%
- Species Distribution and Climate Change 16
- Ecology top 0.1%
- Wildlife Ecology and Conservation 23
- Wildlife-Road Interactions and Conservation 20
- Nature and Landscape Conservation top 0.5%
- Ecology and Vegetation Dynamics Studies 11
- Global and Planetary Change top 0.5%
- Land Use and Ecosystem Services 5
- Genetics top 0.5%
- Genetic diversity and population structure 9
- Genetic and phenotypic traits in livestock 6
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- Animal Behavior and Reproduction 4
- Co-authors
- Paul BeierBrett G. DicksonViral B. ShahTimothy H. KeittDavid M. TheobaldJoshua J. LawlerKim T. ScribnerMarie-Josée Fortin
- 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
- Ecological Modeling 1.9k
- Ecology 5.2k
- Nature and Landscape Conservation 1.5k
- Global and Planetary Change 2.3k
- Genetics 2.0k
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
The 25 scholars most cited alongside Brad H. McRae, 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 | 2018 | 29 | |
| 2 | 2016 | 122 | |
| 3 | 2016 | 224 | |
| 4 | 2016 | 69 | |
| 5 | 2015 | 143 | |
| 6 | 2014 | 33 | |
| 7 | 2013 | 76 | |
| 8 | 2013 | 151 | |
| 9 | 2012 | 283 | |
| 10 | 2012 | 10 | |
| 11 | 2011 | 206 | |
| 12 | 2011 | 39 | |
| 13 | 2011 | 202 | |
| 14 | 2010 | 148 | |
| 15 | Use of resistance surfaces for landscape genetic studies: considerations for parameterization and analysisbreakdown → | 2010 | 525 |
| 16 | 2009 | 72 | |
| 17 | USING CIRCUIT THEORY TO MODEL CONNECTIVITY IN ECOLOGY, EVOLUTION, AND CONSERVATIONbreakdown → | 2008 | 1618 |
| 18 | Circuit theory predicts gene flow in plant and animal populationsbreakdown → | 2007 | 788 |
| 19 | Isolation by resistance.breakdown → | 2006 | 763 |
| 20 | 2005 | 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), Species Distribution and Climate Change (16 papers), Ecology and Vegetation Dynamics Studies (11 papers), Genetic diversity and population structure (9 papers), Genetic and phenotypic traits in livestock (6 papers), Land Use and Ecosystem Services (5 papers) and Animal Behavior and Reproduction (4 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.
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.