Don McFarlane

75 papers receiving 1.6k citations

Peers

Don McFarlane
Comparison fields: 5 of 88
  • Forestry 243
  • Water Science and Technology 669
  • Soil Science 356
  • Environmental Engineering 494
  • Geochemistry and Petrology 195
Replace Tom Hatton with:
Tom Hatton Australia
N.J. Schofield Australia
Ulrik Ilstedt Sweden
H. E. Dregne United States
Simon Lorentz South Africa
Ruixia Guo China
Geoff Hodgson Australia
Anke Hildebrandt Germany
M. J. Waterloo Netherlands
R. de O. Figueiredo Brazil
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Citations per year

Countries citing papers authored by Don McFarlane

Since Specialization
Citations

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

Fields of papers citing papers by Don McFarlane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Don McFarlane, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Don McFarlane Line = papers co-authored together Don McFarlane links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997189
2 2012140
3 2002101
4 201286
5 201277
6 199575
7 201274
8 201458
9 201253
10 199352
11 200450
12 198750
13 199244
14
The Extent and Potential Area of Salt-affected Land in Western Australia Estimated Using Remote Sensing and Digital Terrain Models
200441
15 199237
16 200137
17 201235
18 199433
19 202031
20 201630

About Don McFarlane

Don McFarlane is a scholar working on Water Science and Technology, Global and Planetary Change, Environmental Engineering, Ocean Engineering and Soil Science, having authored 83 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (32 papers), Soil erosion and sediment transport (16 papers), Flood Risk Assessment and Management (15 papers), Water resources management and optimization (13 papers), Hydrology and Sediment Transport Processes (9 papers), Climate variability and models (8 papers), Pasture and Agricultural Systems (8 papers) and Groundwater and Watershed Analysis (6 papers). The work is most often cited by research in Forestry (243 citations), Water Science and Technology (669 citations), Soil Science (356 citations), Environmental Engineering (494 citations) and Geochemistry and Petrology (195 citations). Don McFarlane has collaborated with scholars based in Australia, Spain and Brazil. Frequent co-authors include Richard J George, Geoff Hodgson, Riasat Ali, Jim Cox, Richard Silberstein, Warrick Dawes, Irina Emelyanova, Sunil Varma, Olga Barron and B.L. Campbell. Their work appears in journals such as Journal of Hydrology, Hydrological Processes, Hydrology and earth system sciences, Australian Journal of Agricultural and Resource Economics and Journal of Environmental Quality.

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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