Keith D. Gaddis
- Ecology top 10%
- Nature and Landscape Conservation top 10%
- Ecological Modeling top 5%
- Ecology, Evolution, Behavior and Systematics top 10%
- Genetics
- Co-authors
- David M. CairnsParveen K. ChhetriVictoria L. SorkKonstantin V. KrutovskyJeremy S. JohnsonAndrew O. FinleySparkle L. MaloneKyla M. Dahlin
- Topics
- Species Distribution and Climate Change (8 papers)Genetic diversity and population structure (7 papers)Ecology and Vegetation Dynamics Studies (5 papers)
- Partner nations
- United StatesGermanyRussia
In The Last Decade
Keith D. Gaddis
18 papers receiving 367 citations
Peers
Comparison fields: 5 of 53
- Ecology 142
- Nature and Landscape Conservation 127
- Ecological Modeling 100
- Ecology, Evolution, Behavior and Systematics 86
- Genetics 70
Countries citing papers authored by Keith D. Gaddis
This map shows the geographic impact of Keith D. Gaddis'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 Keith D. Gaddis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith D. Gaddis more than expected).
Fields of papers citing papers by Keith D. Gaddis
This network shows the impact of papers produced by Keith D. Gaddis. 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 Keith D. Gaddis. The network helps show where Keith D. Gaddis may publish in the future.
Co-authorship network of co-authors of Keith D. Gaddis
This figure shows the co-authorship network connecting the top 25 collaborators of Keith D. Gaddis. A scholar is included among the top collaborators of Keith D. Gaddis 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 Keith D. Gaddis. Keith D. Gaddis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | 44 | |
| 6 | 38 | |
| 7 | 96 | |
| 8 | NASA Earth Science Partnerships – Lessons Learned in Measuring, Managing, and Maturing Public-Private Partnerships in the Earth Sciences | 1 |
| 9 | 34 | |
| 10 | 23 | |
| 11 | 19 | |
| 12 | 24 | |
| 13 | 43 | |
| 14 | 6 | |
| 15 | 12 | |
| 16 | 6 | |
| 17 | The population biology of dispersal and gene flow in the desert shrub Acacia (Senegalia) greggii A. Gray in the Mojave National Preserve | 1 |
| 18 | 8 |
About Keith D. Gaddis
Keith D. Gaddis is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Geology, having authored 18 papers that have together received 371 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (8 papers), Genetic diversity and population structure (7 papers) and Ecology and Vegetation Dynamics Studies (5 papers). The work is most often cited by research in Ecological Modeling (100 citations), Nature and Landscape Conservation (127 citations) and Geology (55 citations). Keith D. Gaddis has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include David M. Cairns, Parveen K. Chhetri, Victoria L. Sork, Konstantin V. Krutovsky, Jeremy S. Johnson, Andrew O. Finley, Sparkle L. Malone, Kyla M. Dahlin, Martina L. Hobi and Adam M. Wilson. Their work appears in journals such as American Journal of Botany, Global Ecology and Biogeography and Journal of Biogeography.
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.