John D. Finlayson

526 total citations
31 papers, 413 citations indexed

About

John D. Finlayson is a scholar working on Ocean Engineering, Agronomy and Crop Science and Forestry. According to data from OpenAlex, John D. Finlayson has authored 31 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ocean Engineering, 11 papers in Agronomy and Crop Science and 10 papers in Forestry. Recurrent topics in John D. Finlayson's work include Water resources management and optimization (11 papers), Pasture and Agricultural Systems (10 papers) and Ruminant Nutrition and Digestive Physiology (10 papers). John D. Finlayson is often cited by papers focused on Water resources management and optimization (11 papers), Pasture and Agricultural Systems (10 papers) and Ruminant Nutrition and Digestive Physiology (10 papers). John D. Finlayson collaborates with scholars based in Australia, New Zealand and United States. John D. Finlayson's co-authors include A.C. Bywater, Oscar J. Cacho, Thiagarajah Ramilan, De Li Liu, Robert J. Farquharson, Muhuddin Rajin Anwar, Bin Wang, Ian Macadam, Amir Abadi and Thomas L. Nordblom and has published in prestigious journals such as Agricultural Water Management, Agricultural Systems and Seminars in Thrombosis and Hemostasis.

In The Last Decade

John D. Finlayson

29 papers receiving 375 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John D. Finlayson Australia 11 145 134 101 96 75 31 413
Dan P. Armstrong Australia 11 65 0.4× 122 0.9× 118 1.2× 39 0.4× 42 0.6× 20 338
Lisa E. Brennan Australia 10 108 0.7× 116 0.9× 68 0.7× 89 0.9× 53 0.7× 18 339
N.I. Huth Australia 4 217 1.5× 182 1.4× 88 0.9× 258 2.7× 91 1.2× 7 483
Patricia Masikati Zambia 10 196 1.4× 106 0.8× 63 0.6× 91 0.9× 44 0.6× 19 423
J. Fiona Scott Australia 13 98 0.7× 119 0.9× 92 0.9× 121 1.3× 47 0.6× 23 416
N. van Duivenbooden Netherlands 11 165 1.1× 118 0.9× 34 0.3× 208 2.2× 61 0.8× 35 477
Emily Burchfield United States 13 122 0.8× 58 0.4× 19 0.2× 150 1.6× 160 2.1× 36 467
Beverly Mcintyre United States 15 71 0.5× 94 0.7× 49 0.5× 298 3.1× 117 1.6× 23 580
Phillip D. Alderman United States 13 175 1.2× 150 1.1× 52 0.5× 305 3.2× 121 1.6× 27 516
Paul Kiepe Ivory Coast 13 120 0.8× 59 0.4× 31 0.3× 249 2.6× 67 0.9× 27 496

Countries citing papers authored by John D. Finlayson

Since Specialization
Citations

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

Fields of papers citing papers by John D. Finlayson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John D. Finlayson

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

All Works

20 of 20 papers shown
1.
Nordblom, Thomas L., Tony Hutchings, Richard C. Hayes, Guangdi Li, & John D. Finlayson. (2017). Does establishing lucerne under a cover crop increase farm financial risk?. Crop and Pasture Science. 68(12). 1149–1157. 6 indexed citations
2.
Anwar, Muhuddin Rajin, De Li Liu, Robert J. Farquharson, et al.. (2014). Climate change impacts on phenology and yields of five broadacre crops at four climatologically distinct locations in Australia. Agricultural Systems. 132. 133–144. 149 indexed citations
3.
Finlayson, John D., et al.. (2013). Opportunistic Mediterranean agriculture – Using ephemeral pasture legumes to utilize summer rainfall. Agricultural Systems. 120. 76–84. 5 indexed citations
4.
Nordblom, Thomas L., et al.. (2013). Upstream-downstream benefit analysis of policy on water use by upstream tree plantations. AgEcon Search (University of Minnesota, USA). 1 indexed citations
5.
Nordblom, Thomas L., et al.. (2012). Demand for water use by new tree plantations and downstream economic, social and environmental interests. SSRN Electronic Journal. 217–232. 1 indexed citations
6.
Finlayson, John D., Daniel Real, Thomas L. Nordblom, et al.. (2012). Farm level assessments of a novel drought tolerant forage: Tedera (Bituminaria bituminosa C.H. Stirt var. albomarginata). Agricultural Systems. 112. 38–47. 27 indexed citations
7.
Finlayson, John D., et al.. (2011). Transfusion‐related acute lung injury in a neutropenic patient. Internal Medicine Journal. 41(8). 638–641. 17 indexed citations
8.
Nordblom, Thomas L., Brendan Christy, John D. Finlayson, & Anna M. Roberts. (2010). Least-Cost Land Use Changes for Targeted Salt-Load and Water-Yield Impacts in South-Eastern Australia. SSRN Electronic Journal. 1 indexed citations
9.
Nordblom, Thomas L., et al.. (2010). Least cost land-use changes for targeted catchment salt load and water yield impacts in south eastern Australia. Agricultural Water Management. 97(6). 811–823. 20 indexed citations
10.
Finlayson, John D., et al.. (2010). Balancing Land Use to Manage River Volume and Salinity: Economic and Hydrological Consequences for the Little River Catchment in Central West, New South Wales, Australia. UWA Profiles and Research Repository (University of Western Australia). 1 indexed citations
11.
Thomas, D., John D. Finlayson, Andrew D. Moore, & M. J. Robertson. (2010). Profitability of grazing crop stubbles may be overestimated by using the metabolisable energy intake from the stubble. Animal Production Science. 50(7). 699–704. 21 indexed citations
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Nordblom, Thomas L., et al.. (2007). Downstream benefits vs upstream costs of land use change for water-yield and salt-load targets in the Macquarie Catchment, NSW. AgEcon Search (University of Minnesota, USA). 1–12. 1 indexed citations
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Finlayson, John D., et al.. (2004). Forage Master: A decision tool for selecting and managing forages for New Zealand sheep and beef farms. Proceedings of the New Zealand Grassland Association. 207–213. 3 indexed citations
17.
Finlayson, John D., K. Betteridge, A. D. Mackay, et al.. (2002). A simulation model of the effects of cattle treading on pasture production on North Island, New Zealand, hill land. New Zealand Journal of Agricultural Research. 45(4). 255–272. 11 indexed citations
18.
Finlayson, John D., Oscar J. Cacho, & A.C. Bywater. (1995). A simulation model of grazing sheep: I. Animal growth and intake. Agricultural Systems. 48(1). 1–25. 33 indexed citations
19.
Cacho, Oscar J., John D. Finlayson, & A.C. Bywater. (1995). A simulation model of grazing sheep: II. Whole farm model. Agricultural Systems. 48(1). 27–50. 38 indexed citations
20.
Finlayson, John D., Oscar J. Cacho, & A.C. Bywater. (1990). Simulation of selected management strategies on Canterbury sheep farms. Proceedings of the New Zealand Grassland Association. 211–215. 1 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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