M. R. McCaskill

1.3k total citations
46 papers, 965 citations indexed

About

M. R. McCaskill is a scholar working on Forestry, Agronomy and Crop Science and Environmental Chemistry. According to data from OpenAlex, M. R. McCaskill has authored 46 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Forestry, 25 papers in Agronomy and Crop Science and 14 papers in Environmental Chemistry. Recurrent topics in M. R. McCaskill's work include Pasture and Agricultural Systems (24 papers), Ruminant Nutrition and Digestive Physiology (23 papers) and Soil Carbon and Nitrogen Dynamics (13 papers). M. R. McCaskill is often cited by papers focused on Pasture and Agricultural Systems (24 papers), Ruminant Nutrition and Digestive Physiology (23 papers) and Soil Carbon and Nitrogen Dynamics (13 papers). M. R. McCaskill collaborates with scholars based in Australia, United States and China. M. R. McCaskill's co-authors include Graeme Blair, Gavin Kearney, I. R. Johnson, Brendan Cullen, RP Rawnsley, G. M. Lodge, Richard Eckard, S. G. Clark, R. Behrendt and Brendan Christy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Agriculture Ecosystems & Environment and Geoderma.

In The Last Decade

M. R. McCaskill

44 papers receiving 865 citations

Peers

M. R. McCaskill

ACS

FORES

Fernando Luíz Ferreira de Quadros Brazil

Keith G. Pembleton Australia

D. A. Costall New Zealand

Nyncke J. Hoekstra Netherlands

C. Porqueddu Italy

Taíse Robinson Kunrath Brazil

K. B. Kelly Australia

G. Lemaire France

P. G. Jefferson Canada

Abmael da Silva Cardoso Brazil

Fernando Luíz Ferreira de Quadros Brazil

M. R. McCaskill

373 ×0.9

ACS

245 ×0.7

FORES

375 ×1.3

269 ×1.3

81 ×0.5

Citations per year, relative to M. R. McCaskill M. R. McCaskill (= 1×) peers Fernando Luíz Ferreira de Quadros

Countries citing papers authored by M. R. McCaskill

Since Specialization

Citations

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

Fields of papers citing papers by M. R. McCaskill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. R. McCaskill. 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 M. R. McCaskill. The network helps show where M. R. McCaskill may publish in the future.

Co-authorship network of co-authors of M. R. McCaskill

This figure shows the co-authorship network connecting the top 25 collaborators of M. R. McCaskill. A scholar is included among the top collaborators of M. R. McCaskill 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 M. R. McCaskill. M. R. McCaskill 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

Farrell, Mark, Frances C. Hoyle, M. R. McCaskill, et al.. (2026). Integrating soil monitoring and machine learning to map historical tillage and stubble management across Australian cropping systems (2001–2023). Computers and Electronics in Agriculture. 243. 111408–111408.

Wallace, Ashley J., Uttam Khanal, Brendan Christy, et al.. (2023). Intercropping—Towards an Understanding of the Productivity and Profitability of Dryland Crop Mixtures in Southern Australia. Agronomy. 13(10). 2510–2510. 4 indexed citations

Githui, Faith, et al.. (2022). Modelling Waterlogging Impacts on Crop Growth: A Review of Aeration Stress Definition in Crop Models and Sensitivity Analysis of APSIM. SHILAP Revista de lepidopterología. 13(3). 180–200. 8 indexed citations

Jin, Jian, Christian Krohn, Ashley E. Franks, et al.. (2022). Elevated atmospheric CO2 alters the microbial community composition and metabolic potential to mineralize organic phosphorus in the rhizosphere of wheat. Microbiome. 10(1). 12–12. 53 indexed citations

McCaskill, M. R., et al.. (2019). Dry matter and nutritive value responses of native, naturalised and sown pasture species to soil Olsen P. Crop and Pasture Science. 70(12). 1097–1097. 8 indexed citations

McCaskill, M. R., et al.. (2016). Pasture mixes with lucerne (Medicago sativa) increase yields and water-use efficiencies over traditional pastures based on subterranean clover (Trifolium subterraneum). Crop and Pasture Science. 67(1). 69–80. 7 indexed citations

McCaskill, M. R. & G. Kearney. (2016). Control of water leakage from below the root zone by summer-active pastures is associated with persistence, density and deep rootedness. Crop and Pasture Science. 67(6). 679–693. 3 indexed citations

Nie, Zhongnan, et al.. (2016). Benefits, challenges and opportunities of integrated crop-livestock systems and their potential application in the high rainfall zone of southern Australia: A review. Agriculture Ecosystems & Environment. 235. 17–31. 44 indexed citations

O’Leary, Garry J., De Li Liu, Yuchun Ma, et al.. (2015). Modelling soil organic carbon 1. Performance of APSIM crop and pasture modules against long-term experimental data. Geoderma. 264. 227–237. 43 indexed citations

10.

Clark, S. G., et al.. (2014). Response of lucerne and chicory mixes to a rare high summer rainfall event in western Victoria. New Zealand Journal of Agricultural Research. 57(1). 65–73. 8 indexed citations

11.

McCaskill, M. R., et al.. (2014). Potential impacts of rising global temperatures on Australia's pome fruit industry and adaptation strategies. New Zealand Journal of Crop and Horticultural Science. 42(1). 21–30. 13 indexed citations

12.

Young, J. M., et al.. (2014). The economic benefits of providing shelter to reduce the mortality of twin lambs in south-western Victoria. Animal Production Science. 54(6). 773–782. 13 indexed citations

13.

Webb, John A., et al.. (2007). Dryland salinity processes within the discharge zone of a local groundwater system, southeastern Australia. Hydrogeology Journal. 15(6). 1197–1210. 15 indexed citations

14.

White, R. E., Brendan Christy, A. M. Ridley, et al.. (2003). SGS Water Theme: influence of soil, pasture type and management on water use in grazing systems across the high rainfall zone of southern Australia. Australian Journal of Experimental Agriculture. 43(8). 907–926. 46 indexed citations

15.

Chapman, D. F., M. R. McCaskill, P. E. Quigley, et al.. (2003). Effects of grazing method and fertiliser inputs on the productivity and sustainability of phalaris-based pastures in Western Victoria. Australian Journal of Experimental Agriculture. 43(8). 785–798. 62 indexed citations

16.

McCaskill, M. R., AM Ridley, R. E. White, et al.. (2003). SGS Nutrient Theme: environmental assessment of nutrient application to extensive pastures in the high rainfall zone of southern Australia. Australian Journal of Experimental Agriculture. 43(8). 927–944. 26 indexed citations

17.

McCaskill, M. R., et al.. (1998). The long-term phosphate experiment at Hamilton, Victoria. Proceedings of the New Zealand Grassland Association. 79–82. 2 indexed citations

18.

McCaskill, M. R., et al.. (1992). Comparison of five water stress predictors for the tropics. Agricultural and Forest Meteorology. 58(1-2). 19–34. 5 indexed citations

19.

McCaskill, M. R.. (1990). Phosphorus and beef production in northern Australia. 9. Modelling phosphorus requirements of beef cattle.. Tropical grasslands. 24(3). 231–238. 3 indexed citations

20.

McCaskill, M. R. & Graeme Blair. (1990). A model of S, P and N uptake by a perennial pasture. Nutrient Cycling in Agroecosystems. 22(3). 173–179. 11 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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