David M. Cairns
- Atmospheric Science top 2%
- Global and Planetary Change top 2%
- Nature and Landscape Conservation top 1%
- Ecology top 5%
- Ecological Modeling top 2%
- Co-authors
- Adam T. NaitoJon MoenGeorge P. MalansonJohn A. KupferParveen K. ChhetriCharles W. LafonDaehyun KimJesper Bartholdy
- Topics
- Tree-ring climate responses (32 papers)Plant Water Relations and Carbon Dynamics (24 papers)Ecology and Vegetation Dynamics Studies (21 papers)
- Partner nations
- United StatesDenmarkSweden
In The Last Decade
David M. Cairns
64 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 70
- Atmospheric Science 1.2k
- Global and Planetary Change 1.0k
- Nature and Landscape Conservation 902
- Ecology 514
- Ecological Modeling 261
Countries citing papers authored by David M. Cairns
This map shows the geographic impact of David M. Cairns'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 David M. Cairns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Cairns more than expected).
Fields of papers citing papers by David M. Cairns
This network shows the impact of papers produced by David M. Cairns. 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 David M. Cairns. The network helps show where David M. Cairns may publish in the future.
Co-authorship network of co-authors of David M. Cairns
This figure shows the co-authorship network connecting the top 25 collaborators of David M. Cairns. A scholar is included among the top collaborators of David M. Cairns 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 David M. Cairns. David M. Cairns is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 83 | |
| 2 | 66 | |
| 3 | 13 | |
| 4 | 3 | |
| 5 | 19 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 28 | |
| 9 | Evaluating the impact of invasive species in forest landscapes: the southern pine beetle and the hemlock woolly adelgid | 1 |
| 10 | 12 | |
| 11 | 45 | |
| 12 | 17 | |
| 13 | 48 | |
| 14 | 197 | |
| 15 | 17 | |
| 16 | 60 | |
| 17 | 28 | |
| 18 | 59 | |
| 19 | 15 | |
| 20 | Spatial pattern analysis of witches’ broom disease of cacao at a landscape scale in Rondônia Brazil | 0 |
About David M. Cairns
David M. Cairns is a scholar working on Nature and Landscape Conservation, Atmospheric Science and Ecological Modeling, having authored 68 papers that have together received 2.0k indexed citations. Recurring topics across this work include Tree-ring climate responses (32 papers), Plant Water Relations and Carbon Dynamics (24 papers) and Ecology and Vegetation Dynamics Studies (21 papers). The work is most often cited by research in Nature and Landscape Conservation (902 citations), Atmospheric Science (1.2k citations) and Ecological Modeling (261 citations). David M. Cairns has collaborated with scholars based in United States, Denmark and Sweden. Frequent co-authors include Adam T. Naito, Jon Moen, George P. Malanson, John A. Kupfer, Parveen K. Chhetri, Charles W. Lafon, Daehyun Kim, Jesper Bartholdy, David R. Butler and Robert N. Coulson. Their work appears in journals such as Ecology, Global Change Biology and Journal of 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.