John Hornbuckle

1.3k total citations
53 papers, 987 citations indexed

About

John Hornbuckle is a scholar working on Soil Science, Plant Science and Civil and Structural Engineering. According to data from OpenAlex, John Hornbuckle has authored 53 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Soil Science, 22 papers in Plant Science and 9 papers in Civil and Structural Engineering. Recurrent topics in John Hornbuckle's work include Irrigation Practices and Water Management (13 papers), Rice Cultivation and Yield Improvement (11 papers) and Soil and Unsaturated Flow (8 papers). John Hornbuckle is often cited by papers focused on Irrigation Practices and Water Management (13 papers), Rice Cultivation and Yield Improvement (11 papers) and Soil and Unsaturated Flow (8 papers). John Hornbuckle collaborates with scholars based in Australia, Uruguay and Cambodia. John Hornbuckle's co-authors include James E. Ayars, James Brinkhoff, Carlos Ballester, E.W. Christen, Evan Christen, Wendy C. Quayle, Philip S. Casey, Keith L. Bristow, Benu Adhikari and R. D. Faulkner and has published in prestigious journals such as Sensors, Frontiers in Plant Science and Remote Sensing.

In The Last Decade

John Hornbuckle

49 papers receiving 938 citations

Peers

John Hornbuckle

ECOLO

WST

Antonello Bonfante Italy

Khaled M. Bali United States

Amirhossein Hassani Norway

Daran R. Rudnick United States

Xiaolin Yang China

Dorota Z. Haman United States

Nicholas Dercas Greece

Kiril Manevski Denmark

Allan A. Andales United States

Manoj Khanna India

Antonello Bonfante Italy

John Hornbuckle

532 ×1.3

411 ×1.2

239 ×1.0

209 ×1.2

ECOLO

102 ×0.6

WST

Citations per year, relative to John Hornbuckle John Hornbuckle (= 1×) peers Antonello Bonfante

Countries citing papers authored by John Hornbuckle

Since Specialization

Citations

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

Fields of papers citing papers by John Hornbuckle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Hornbuckle. 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 John Hornbuckle. The network helps show where John Hornbuckle may publish in the future.

Co-authorship network of co-authors of John Hornbuckle

This figure shows the co-authorship network connecting the top 25 collaborators of John Hornbuckle. A scholar is included among the top collaborators of John Hornbuckle 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 John Hornbuckle. John Hornbuckle 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

Carracelas, Gonzalo, John Hornbuckle, & Carlos Ballester. (2025). Impact of Standing Water Level and Observation Time on Remote-Sensed Canopy Indices for Rice Nitrogen Status Monitoring. Remote Sensing. 17(6). 1045–1045.

Carracelas, Gonzalo, et al.. (2024). Assessing Drone-Based Remote Sensing Indices for Monitoring Rice Nitrogen Plant Status Under Different Irrigation Techniques. Agronomy. 14(12). 2976–2976. 2 indexed citations

Webb, Jackie R., et al.. (2024). Soil greenhouse gas emissions under enhanced efficiency and urea nitrogen fertilizer from Australian irrigated aerobic rice production. Agrosystems Geosciences & Environment. 7(4). 2 indexed citations

Ballester, Carlos, et al.. (2024). Convolutional Neural Networks accurately predict soil matric potential from soil, weather, and satellite-derived data. Computers and Electronics in Agriculture. 227. 109597–109597. 1 indexed citations

Ballester, Carlos, et al.. (2023). Evaluating the Performance and Opportunity Cost of a Smart-Sensed Automated Irrigation System for Water-Saving Rice Cultivation in Temperate Australia. Agriculture. 13(4). 903–903. 11 indexed citations

Ballester, Carlos, et al.. (2023). Effect of Soil Moisture Deficit on Aerobic Rice in Temperate Australia. Agronomy. 13(1). 168–168. 11 indexed citations

Ballester, Carlos, et al.. (2023). Decision Support Tool to Predict Panicle Initiation in Aerobic Rice. Agronomy. 13(3). 789–789. 1 indexed citations

Ahmed, Nesar, John Hornbuckle, & Giovanni M. Turchini. (2022). Blue–green water utilization in rice–fish cultivation towards sustainable food production. AMBIO. 51(9). 1933–1948. 20 indexed citations

Maia, Rodrigo Filev, Carlos Ballester, & John Hornbuckle. (2022). Machine learning approach to estimate soil matric potential in the plant root zone based on remote sensing data. Frontiers in Plant Science. 13. 931491–931491. 13 indexed citations

10.

Ballester, Carlos, John Hornbuckle, James Brinkhoff, & Wendy C. Quayle. (2021). Effects of three frequencies of irrigation and nitrogen rates on lint yield, nitrogen use efficiency and fibre quality of cotton under furrow irrigation. Agricultural Water Management. 248. 106783–106783. 34 indexed citations

11.

Ballester, Carlos, John Hornbuckle, Jeffrey McCormick, et al.. (2021). Evaluating Strategies to Improve Water Availability and Lateral Root Growth of Plants Grown in the Rice-Growing Lowlands of the Lower Mekong Basin. Agronomy. 11(10). 1929–1929. 2 indexed citations

12.

Hornbuckle, John, E.W. Christen, & R. D. Faulkner. (2020). Use of SIRMOD as a quasi real time surface irrigation decision support system. Own your potential (DEAKIN). 217–223. 1 indexed citations

13.

Brinkhoff, James, et al.. (2018). Assessment of Aquatic Weed in Irrigation Channels Using UAV and Satellite Imagery. Water. 10(11). 1497–1497. 23 indexed citations

14.

Adhikari, Raju, et al.. (2016). Preformed and sprayable polymeric mulch film to improve agricultural water use efficiency. Agricultural Water Management. 169. 1–13. 125 indexed citations

15.

Petheram, Cuan, Ian Watson, M. Craig Barber, et al.. (2012). Proposed project methods for the Flinders and Gilbert agricultural resource assessment. Own your potential (DEAKIN). 733–741. 1 indexed citations

16.

Hornbuckle, John, et al.. (2009). Irrigation modelling language for decision support. Own your potential (DEAKIN). 484–490. 1 indexed citations

17.

Hornbuckle, John, et al.. (2009). Bankless channel irrigation systems: irrigation performance assessment. University of Southern Queensland ePrints (University of Southern Queensland). 1 indexed citations

18.

Merlin, Olivier, Jeffrey P. Walker, J. D. Kalma, et al.. (2008). The NAFE’06 data set: Towards soil moisture retrieval at intermediate resolution. Advances in Water Resources. 31(11). 1444–1455. 74 indexed citations

19.

Ayars, James E., Evan Christen, & John Hornbuckle. (2007). Managing irrigation and drainage in saline environments.. CABI Reviews. 7 indexed citations

20.

Hornbuckle, John, et al.. (2005). Controlled water table management as a strategy for reducing salt loads from subsurface drainage under perennial agriculture in semi-arid Australia. Irrigation and Drainage Systems. 19(2). 145–159. 27 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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