David B. Johnston

425 total citations
13 papers, 322 citations indexed

About

David B. Johnston is a scholar working on Plant Science, Soil Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, David B. Johnston has authored 13 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 6 papers in Soil Science and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in David B. Johnston's work include Research in Cotton Cultivation (7 papers), Irrigation Practices and Water Management (4 papers) and Climate change impacts on agriculture (4 papers). David B. Johnston is often cited by papers focused on Research in Cotton Cultivation (7 papers), Irrigation Practices and Water Management (4 papers) and Climate change impacts on agriculture (4 papers). David B. Johnston collaborates with scholars based in Australia, United States and British Virgin Islands. David B. Johnston's co-authors include Michael Braunack, Michael Bange, Qunying Luo, Emilie Gauthier, George Waters, J. H. Frantz, W.K. Sawyer, Ryan J. MacDonald, G. A. Constable and D.M. Kelly and has published in prestigious journals such as Agriculture Ecosystems & Environment, Climatic Change and Field Crops Research.

In The Last Decade

David B. Johnston

13 papers receiving 282 citations

Peers

David B. Johnston
Robert White Australia
Ke Tao China
Kevin Heflin United States
Brian Collins Australia
David B. Johnston
Citations per year, relative to David B. Johnston David B. Johnston (= 1×) peers Sheng Chen

Countries citing papers authored by David B. Johnston

Since Specialization
Citations

This map shows the geographic impact of David B. Johnston'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 B. Johnston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David B. Johnston more than expected).

Fields of papers citing papers by David B. Johnston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David B. Johnston. 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 B. Johnston. The network helps show where David B. Johnston may publish in the future.

Co-authorship network of co-authors of David B. Johnston

This figure shows the co-authorship network connecting the top 25 collaborators of David B. Johnston. A scholar is included among the top collaborators of David B. Johnston 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 B. Johnston. David B. Johnston is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Johnston, David B., Keith G. Pembleton, Neil Huth, & Ravinesh C. Deo. (2023). Comparison of machine learning methods emulating process driven crop models. Environmental Modelling & Software. 162. 105634–105634. 16 indexed citations
2.
Conaty, Warren C., et al.. (2017). Use of a managed stress environment in breeding cotton for a variable rainfall environment. Field Crops Research. 221. 265–276. 10 indexed citations
3.
Luo, Qunying, Michael Bange, & David B. Johnston. (2016). Environment and cotton fibre quality. Climatic Change. 138(1-2). 207–221. 17 indexed citations
4.
Luo, Qunying, Michael Bange, Michael Braunack, & David B. Johnston. (2016). Effectiveness of agronomic practices in dealing with climate change impacts in the Australian cotton industry — A simulation study. Agricultural Systems. 147. 1–9. 22 indexed citations
5.
Braunack, Michael, et al.. (2015). Soil temperature and soil water potential under thin oxodegradable plastic film impact on cotton crop establishment and yield. Field Crops Research. 184. 91–103. 43 indexed citations
6.
Luo, Qunying, Michael Bange, David B. Johnston, & Michael Braunack. (2015). Cotton crop water use and water use efficiency in a changing climate. Agriculture Ecosystems & Environment. 202. 126–134. 28 indexed citations
7.
Braunack, Michael & David B. Johnston. (2014). Changes in soil cone resistance due to cotton picker traffic during harvest on Australian cotton soils. Soil and Tillage Research. 140. 29–39. 30 indexed citations
8.
Braunack, Michael, Michael Bange, & David B. Johnston. (2012). Can planting date and cultivar selection improve resource use efficiency of cotton systems?. Field Crops Research. 137. 1–11. 23 indexed citations
9.
Bange, Michael, G. A. Constable, David B. Johnston, & D.M. Kelly. (2010). A method to estimate the effects of temperature on cotton micronaire.. ˜The œjournal of cotton science/Journal of cotton science. 14(3). 164–172. 20 indexed citations
10.
Bange, Michael, G. A. Constable, David B. Johnston, & D.M. Kelly. (2010). MOLECULAR BIOLOGY AND PHYSIOLOGY A Method to Estimate the Effects of Temperature on Cotton Micronaire. 3 indexed citations
11.
Frantz, J. H., et al.. (2005). Evaluating Barnett Shale Production Performance Using an Integrated Approach. SPE Annual Technical Conference and Exhibition. 92 indexed citations
12.
Singh, Vijay, Bruce S. Dien, David B. Johnston, Kevin G. Hicks, & Michael A. Cotta. (2004). A Comparison Between Conversion Of Pericarp And Endosperm Fiber From Corn Into Ethanol. 2004, Ottawa, Canada August 1 - 4, 2004. 2 indexed citations
13.
Johnston, David B.. (1976). Rural society and the rice economy in Thailand, 1880-1930. University Microfilms International eBooks. 16 indexed citations

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.

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