Brian W. Dunn

900 total citations
30 papers, 690 citations indexed

About

Brian W. Dunn is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Soil Science. According to data from OpenAlex, Brian W. Dunn has authored 30 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 10 papers in Ecology, Evolution, Behavior and Systematics and 10 papers in Soil Science. Recurrent topics in Brian W. Dunn's work include Rice Cultivation and Yield Improvement (22 papers), Remote Sensing in Agriculture (9 papers) and Plant responses to water stress (6 papers). Brian W. Dunn is often cited by papers focused on Rice Cultivation and Yield Improvement (22 papers), Remote Sensing in Agriculture (9 papers) and Plant responses to water stress (6 papers). Brian W. Dunn collaborates with scholars based in Australia, Hungary and New Zealand. Brian W. Dunn's co-authors include Graeme Batten, HG Beecher, Donald S. Gaydon, James Brinkhoff, Craig Russell, Robert L. Williams, J. F. Angus, Remy Dehaan, Andrew Robson and B. Orchard and has published in prestigious journals such as SHILAP Revista de lepidopterología, Plant and Soil and Agricultural and Forest Meteorology.

In The Last Decade

Brian W. Dunn

28 papers receiving 654 citations

Peers

Brian W. Dunn

ECOLO

HG Beecher Australia

Andry Andriamananjara Madagascar

Mohammad Sadegh Askari Ireland

Érika Flávia Machado Pinheiro Brazil

Tovohery Rakotoson Madagascar

Mervin St. Luce Canada

Eleno Torres Brazil

Leonardo Deiss United States

Ernest Kouakoua France

Sonia Czarnes France

HG Beecher Australia

Brian W. Dunn

196 ×0.6

238 ×0.9

192 ×1.0

154 ×0.8

ECOLO

140 ×1.0

Citations per year, relative to Brian W. Dunn Brian W. Dunn (= 1×) peers HG Beecher

Countries citing papers authored by Brian W. Dunn

Since Specialization

Citations

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

Fields of papers citing papers by Brian W. Dunn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian W. Dunn. 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 Brian W. Dunn. The network helps show where Brian W. Dunn may publish in the future.

Co-authorship network of co-authors of Brian W. Dunn

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

All Works

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20 of 20 papers shown

Brinkhoff, James, et al.. (2025). Forecasting field rice grain moisture content using Sentinel-2 and weather data. Precision Agriculture. 26(1). 4 indexed citations

Jha, Sunil Kumar, James Brinkhoff, Andrew Robson, & Brian W. Dunn. (2025). Integrating Remote Sensing and Weather Time Series for Australian Irrigated Rice Phenology Prediction. Remote Sensing. 17(17). 3050–3050.

Brinkhoff, James, et al.. (2024). Analysis and forecasting of Australian rice yield using phenology-based aggregation of satellite and weather data. Agricultural and Forest Meteorology. 353. 110055–110055. 12 indexed citations

Brinkhoff, James, et al.. (2023). Predicting rice phenology and optimal sowing dates in temperate regions using machine learning. Agronomy Journal. 116(3). 871–885. 8 indexed citations

Proud, Christopher G., et al.. (2023). Effect of nitrogen management on grain yield of rice grown in a high-yielding environment under flooded and non-flooded conditions. SHILAP Revista de lepidopterología. 2(1). 37–45. 12 indexed citations

Brinkhoff, James, et al.. (2023). The influence of nitrogen and variety on rice grain moisture content dry-down. Field Crops Research. 302. 109044–109044. 5 indexed citations

Dunn, Brian W., et al.. (2020). Effect of agronomic management on rice grain quality Part III: Australian water‐saving irrigation practices. Cereal Chemistry. 98(2). 249–262. 5 indexed citations

Brinkhoff, James, et al.. (2020). Impact of UAV Time-of-Flight on Rice Nitrogen Uptake Models. 4355–4358. 2 indexed citations

Dunn, Brian W., et al.. (2020). Effects of plant population and row spacing on grain yield of aerial-sown and drill-sown rice. Crop and Pasture Science. 71(3). 219–228. 15 indexed citations

10.

Waters, Daniel Le, et al.. (2020). Effect of agronomic management on rice grain quality Part I: A review of Australian practices. Cereal Chemistry. 98(2). 222–233. 5 indexed citations

11.

Brinkhoff, James, et al.. (2019). Modeling Mid-Season Rice Nitrogen Uptake Using Multispectral Satellite Data. Remote Sensing. 11(15). 1837–1837. 26 indexed citations

12.

Darbyshire, Rebecca, et al.. (2019). Predicting panicle initiation timing in rice grown using water efficient systems. Field Crops Research. 239. 159–164. 13 indexed citations

13.

Dunn, Brian W., et al.. (2016). Nitrogen rate and timing effects on growth and yield of drill-sown rice. Crop and Pasture Science. 67(11). 1149–1157. 23 indexed citations

14.

Dunn, Brian W., et al.. (2016). Using Field-Derived Hyperspectral Reflectance Measurement to Identify the Essential Wavelengths for Predicting Nitrogen Uptake of Rice at Panicle Initiation. Journal of Near Infrared Spectroscopy. 24(5). 473–483. 17 indexed citations

15.

Dunn, Brian W., et al.. (2016). Weed Suppression and Performance of Grain Legumes Following an Irrigated Rice Crop in Southern Australia. Agronomy. 6(4). 47–47. 23 indexed citations

16.

Dunn, Brian W., et al.. (2012). Influence of Soil Type on Severity of Straighthead in Rice. Communications in Soil Science and Plant Analysis. 43(12). 1705–1719. 3 indexed citations

17.

Russell, Craig, Brian W. Dunn, Graeme Batten, Robert L. Williams, & J. F. Angus. (2005). Soil tests to predict optimum fertilizer nitrogen rate for rice. Field Crops Research. 97(2-3). 286–301. 42 indexed citations

18.

Dunn, Brian W., et al.. (2002). The potential of near-infrared reflectance spectroscopy for soil analysis — a case study from the Riverine Plain of south-eastern Australia. Australian Journal of Experimental Agriculture. 42(5). 607–614. 238 indexed citations

19.

Russell, Craig, J. F. Angus, Graeme Batten, Brian W. Dunn, & Robert L. Williams. (2002). The potential of NIR spectroscopy to predict nitrogen mineralization in rice soils. Plant and Soil. 247(2). 243–252. 22 indexed citations

20.

Roughley, R. J., R.R. Gault, J Brockwell, et al.. (1995). Autecology of Bradyrhizobium japonicum in soybean-rice rotations. Plant and Soil. 176(1). 7–14. 10 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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