Ken Day
Impact in
- Forestry top 1%
- Pasture and Agricultural Systems
- Soil Science top 10%
- Soil Carbon and Nitrogen Dynamics
Papers in ⓘ
- Forestry 7
- Pasture and Agricultural Systems 7
-
- Climate variability and models 4
- Plant Water Relations and Carbon Dynamics 4
- Co-authors
- Mark Howden (4 shared papers)Greg McKeon (3 shared papers)D. M. Orr (2 shared papers)E. J. Weston (1 shared paper)J. J. Mott (1 shared paper)William J. Parton (4 shared papers)Dennis S. Ojima (2 shared papers)G. W. Fraser (3 shared papers)
- Journals
- Ecosphere (2 papers)Carbon Management (1 paper)Environmental Modelling & Software (1 paper)Journal of Biogeography (1 paper)Global Ecology and Biogeography (1 paper)
- Partner nations
- AustraliaUnited StatesIndia
In The Last Decade
Ken Day
13 papers receiving 528 citations
Peers
Comparison fields: 5 of 54
- Forestry 156
- Soil Science 125
- Management, Monitoring, Policy and Law 143
- Global and Planetary Change 235
- Agronomy and Crop Science 105
Countries citing papers authored by Ken Day
This map shows the geographic impact of Ken Day'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 Ken Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Day more than expected).
Fields of papers citing papers by Ken Day
This network shows the impact of papers produced by Ken Day. 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 Ken Day. The network helps show where Ken Day may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Day, 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 | 2009 | 160 | |
| 2 | 1990 | 148 | |
| 3 | 2002 | 135 | |
| 4 | 1999 | 36 | |
| 5 | 2020 | 33 | |
| 6 | 2017 | 31 | |
| 7 | 2024 | 10 | |
| 8 | 2011 | 9 | |
| 9 | 2009 | 6 | |
| 10 | Historical degradation episodes in Australia: Global climate and economic forces and their interaction with rangeland grazing systems | 2004 | 3 |
| 11 | Climate Tools for Northern Grassy Landscapes | 2000 | 3 |
| 12 | Climate change impacts on Australia's rangeland livestock carrying capacity: a review of issues | 2009 | 3 |
| 13 | 2023 | 1 | |
| 14 | 2023 | 0 |
About Ken Day
Ken Day is a scholar working on Forestry, Global and Planetary Change, Soil Science, Agronomy and Crop Science and Management, Monitoring, Policy and Law, having authored 14 papers that have together received 578 indexed citations. Recurring topics across this work include Pasture and Agricultural Systems (7 papers), Climate variability and models (4 papers), Plant Water Relations and Carbon Dynamics (4 papers), Rangeland Management and Livestock Ecology (3 papers), Soil Carbon and Nitrogen Dynamics (3 papers), Rangeland and Wildlife Management (2 papers), Climate change impacts on agriculture (2 papers) and Bioenergy crop production and management (2 papers). The work is most often cited by research in Forestry (156 citations), Soil Science (125 citations), Management, Monitoring, Policy and Law (143 citations), Global and Planetary Change (235 citations) and Agronomy and Crop Science (105 citations). Ken Day has collaborated with scholars based in Australia, United States and India. Frequent co-authors include Mark Howden, Greg McKeon, D. M. Orr, E. J. Weston, J. J. Mott, William J. Parton, Dennis S. Ojima, G. W. Fraser, J. M. O. Scurlock and Richard Gill. Their work appears in journals such as Ecosphere, Carbon Management, Environmental Modelling & Software, Journal of Biogeography and Global Ecology and 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.