D. A. Post

624 total citations
11 papers, 469 citations indexed

About

D. A. Post is a scholar working on Water Science and Technology, Global and Planetary Change and Oceanography. According to data from OpenAlex, D. A. Post has authored 11 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Water Science and Technology, 6 papers in Global and Planetary Change and 3 papers in Oceanography. Recurrent topics in D. A. Post's work include Hydrology and Watershed Management Studies (7 papers), Climate variability and models (4 papers) and Hydrology and Drought Analysis (3 papers). D. A. Post is often cited by papers focused on Hydrology and Watershed Management Studies (7 papers), Climate variability and models (4 papers) and Hydrology and Drought Analysis (3 papers). D. A. Post collaborates with scholars based in Australia. D. A. Post's co-authors include Francis H. S. Chiew, Jai Vaze, Jin Teng, Jean‐Michel Perraud, Neil R. Viney, Dewi Kirono, Julien Lerat, Monomoy Goswami, Andy Moore and Michael Grose and has published in prestigious journals such as Water Resources Research, Journal of Physical Oceanography and Hydrology and earth system sciences.

In The Last Decade

D. A. Post

11 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. A. Post Australia 7 387 368 90 76 38 11 469
M. D. Kustu United States 3 258 0.7× 179 0.5× 116 1.3× 49 0.6× 36 0.9× 3 361
Thomas Nester Austria 7 448 1.2× 361 1.0× 139 1.5× 60 0.8× 19 0.5× 10 534
Lieke van Roosmalen Denmark 6 259 0.7× 304 0.8× 85 0.9× 120 1.6× 25 0.7× 9 417
Nils Roar Sælthun Norway 9 232 0.6× 207 0.6× 164 1.8× 61 0.8× 42 1.1× 13 407
K. Harvey Australia 3 458 1.2× 383 1.0× 214 2.4× 86 1.1× 16 0.4× 5 612
Sebastian Gnann United Kingdom 13 235 0.6× 314 0.9× 68 0.8× 124 1.6× 14 0.4× 16 390
Harry Dixon United Kingdom 11 360 0.9× 295 0.8× 80 0.9× 108 1.4× 10 0.3× 28 484
Cristóbal Puelma Chile 3 207 0.5× 196 0.5× 110 1.2× 70 0.9× 18 0.5× 3 314
Kazuhiko Fukami Japan 13 478 1.2× 406 1.1× 159 1.8× 126 1.7× 14 0.4× 29 599
Pradeep Adhikari United States 7 377 1.0× 219 0.6× 176 2.0× 61 0.8× 39 1.0× 9 452

Countries citing papers authored by D. A. Post

Since Specialization
Citations

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

Fields of papers citing papers by D. A. Post

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. A. Post

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

All Works

11 of 11 papers shown
1.
Bennett, James, D. A. Post, Michael Grose, et al.. (2012). High-resolution projections of surface water availability for Tasmania, Australia. Hydrology and earth system sciences. 16(5). 1287–1303. 30 indexed citations
2.
Post, D. A., et al.. (2012). Provision of usable projections of future water availability for South-Eastern Australia: The South-Eastern Australian Climate Initiative (SEACI). 251. 20 indexed citations
3.
Teng, Mingjun, et al.. (2012). Barwon Water system yields under future climate. 9. 1 indexed citations
4.
Bennett, James, et al.. (2011). Performance of quantile-quantile bias-correction for use in hydroclimatological projections. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 15 indexed citations
5.
Vaze, Jai, Francis H. S. Chiew, Jean‐Michel Perraud, et al.. (2011). Rainfall-Runoff Modelling Across Southeast Australia: Datasets, Models and Results. Australasian Journal of Water Resources. 14(2). 101–116. 83 indexed citations
7.
Chiew, Francis H. S., Jin Teng, Jai Vaze, et al.. (2009). Estimating climate change impact on runoff across southeast Australia: Method, results, and implications of the modeling method. Water Resources Research. 45(10). 278 indexed citations
8.
Chiew, Francis H. S., et al.. (2008). Modelling Runoff and Climate Change Impact on Runoff in 178 Catchments in the Murray-Darling Basin Using Sacramento and SIMHYD Rainfall-runoff Models. 87. 10 indexed citations
9.
Hawdon, Aaron, Rex Keen, D. A. Post, & Scott Wilkinson. (2008). Hydrological recovery of rangeland following cattle exclusion.. IAHS-AISH publication. 532–539. 5 indexed citations
10.
Vaze, Jai, et al.. (2008). Effect of Input Rainfall Data and Spatial Modelling on Rainfall-runoff Model Performance. 737. 4 indexed citations
11.
Power, Scott B., Neville Smith, Richard Kleeman, Andy Moore, & D. A. Post. (1994). Stability of North Atlantic Deep Water Formation in a Global Ocean General Circulation Model. Journal of Physical Oceanography. 24(5). 904–916. 19 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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