R. M. Argent

1.6k total citations
50 papers, 935 citations indexed

About

R. M. Argent is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, R. M. Argent has authored 50 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Water Science and Technology, 19 papers in Global and Planetary Change and 9 papers in Environmental Engineering. Recurrent topics in R. M. Argent's work include Hydrology and Watershed Management Studies (23 papers), Soil and Water Nutrient Dynamics (8 papers) and Flood Risk Assessment and Management (6 papers). R. M. Argent is often cited by papers focused on Hydrology and Watershed Management Studies (23 papers), Soil and Water Nutrient Dynamics (8 papers) and Flood Risk Assessment and Management (6 papers). R. M. Argent collaborates with scholars based in Australia, United Kingdom and United States. R. M. Argent's co-authors include Rodger B. Grayson, Andrew W. Western, Joel Rahman, Thomas A. McMahon, Tim Peterson, Jean‐Michel Perraud, G Podger, Justin F. Costelloe, Alexey Voinov and Carlo Giupponi and has published in prestigious journals such as Water Resources Research, Environment International and Global Biogeochemical Cycles.

In The Last Decade

R. M. Argent

49 papers receiving 870 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. M. Argent Australia 17 400 349 148 127 119 50 935
Susan Cuddy Australia 14 330 0.8× 289 0.8× 147 1.0× 76 0.6× 97 0.8× 56 709
Andrew Hughes United Kingdom 20 475 1.2× 330 0.9× 489 3.3× 67 0.5× 148 1.2× 92 1.4k
Baihua Fu Australia 14 443 1.1× 374 1.1× 243 1.6× 331 2.6× 131 1.1× 32 1.2k
H. Schölten Netherlands 18 214 0.5× 303 0.9× 120 0.8× 151 1.2× 89 0.7× 54 848
W.P.A. van Deursen Netherlands 14 594 1.5× 788 2.3× 158 1.1× 109 0.9× 224 1.9× 22 1.2k
Dominik E. Reusser Germany 22 659 1.6× 566 1.6× 401 2.7× 298 2.3× 100 0.8× 40 1.7k
Marcello Donatelli Italy 12 123 0.3× 359 1.0× 114 0.8× 181 1.4× 35 0.3× 19 1.2k
K. Fedra Austria 19 308 0.8× 279 0.8× 256 1.7× 107 0.8× 269 2.3× 63 1.1k
Andréja Jonoski Netherlands 22 647 1.6× 772 2.2× 430 2.9× 120 0.9× 345 2.9× 64 1.7k
Jeffery S. Horsburgh United States 24 875 2.2× 258 0.7× 364 2.5× 116 0.9× 177 1.5× 114 2.0k

Countries citing papers authored by R. M. Argent

Since Specialization
Citations

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

Fields of papers citing papers by R. M. Argent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of R. M. Argent. A scholar is included among the top collaborators of R. M. Argent 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 R. M. Argent. R. M. Argent 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.
Argent, R. M., et al.. (2015). Towards operational forecasting of agricultural soil water in Australia. 1 indexed citations
2.
Almeida, David, R. M. Argent, Adam Ellis, Judy England, & Gordon H. Copp. (2012). Environmental biology of an invasive population of signal crayfish in the River Stort catchment (southeastern England). Limnologica. 43(3). 177–184. 15 indexed citations
3.
Peterson, Tim, Andrew W. Western, & R. M. Argent. (2012). Analytical methods for ecosystem resilience: A hydrological investigation. Water Resources Research. 48(10). 25 indexed citations
4.
Feikema, Paul, Gary Sheridan, R. M. Argent, Patrick N.J. Lane, & Rodger B. Grayson. (2011). Estimating catchment-scale impacts of wildfire on sediment and nutrient loads using the E2 catchment modelling framework. Environmental Modelling & Software. 26(7). 913–928. 16 indexed citations
5.
Peterson, Tim, Andrew W. Western, & R. M. Argent. (2009). Multiple hydrological stable states and the probability of climate variability causing a threshold crossing. Congress on Modelling and Simulation. 3109–3115. 2 indexed citations
6.
Argent, R. M., Jean‐Michel Perraud, Joel Rahman, Rodger B. Grayson, & G Podger. (2009). A new approach to water quality modelling and environmental decision support systems. Environmental Modelling & Software. 24(7). 809–818. 98 indexed citations
7.
Argent, R. M.. (2006). Whole-of-catchment Modelling of Port Phillip and Western Port Bay Catchments Using E2. 1(1). 450. 1 indexed citations
8.
Jordan, Phillip, R. M. Argent, & Rory Nathan. (2006). Past, Present and Future of Catchment Modelling in E2 and the eWater CRC Modelling Toolkit. 49. 1 indexed citations
9.
Hancock, Gary, Andrew Murray, G. J. Brunskill, & R. M. Argent. (2006). Ra isotopes in trees: Their application to the estimation of heartwood growth rates and tree ages. Global Biogeochemical Cycles. 20(4). 4 indexed citations
10.
Sheridan, Gary, et al.. (2005). Using E2 To Model The Impacts Of Bushfires On Water Quality In South-Eastern Australia. Congress on Modelling and Simulation. 4 indexed citations
11.
Rahman, Ataur, et al.. (2005). A windows-based program to derive design rainfall temporal patterns for design flood estimation. Congress on Modelling and Simulation. 1 indexed citations
12.
Argent, R. M., et al.. (2005). Estimating sediment and nutrient loads in Gippsland Lakes catchments using E2 modelling framework. Congress on Modelling and Simulation. 2 indexed citations
13.
Rahman, Ataur, et al.. (2005). Investigation of the thermodynamic component of Penman's method for estimating evaporation. Congress on Modelling and Simulation. 1 indexed citations
14.
Haddad, Khaled, et al.. (2005). Regionalisation of rainfall duration in Victoria for design flood estimation using Monte Carlo Simulation. Congress on Modelling and Simulation. 2 indexed citations
15.
Rahman, Ataur, et al.. (2005). Design flood estimation in ungauged catchments : quantile regression technique and probabilistic rational method compared. Congress on Modelling and Simulation. 4 indexed citations
16.
Peterson, Tim, R. M. Argent, & Francis H. S. Chiew. (2005). Multiple stable states and thresholds within the Goulburn catchment. Congress on Modelling and Simulation. 2526–2532. 1 indexed citations
17.
Podger, Geoff, David Perry, Joel Rahman, R. M. Argent, & Rob Vertessy. (2003). The Catchment Modelling Toolkit. 3. 1 indexed citations
18.
Argent, R. M. & Valerie Grace Mitchell. (2003). Development and Adoption of a Simple Nonpoint Source Pollution Model for Port Phillip Bay, Australia. Environmental Management. 32(3). 360–372. 2 indexed citations
19.
Argent, R. M., et al.. (1999). Putting GIS to Work in Catchment Management: A Case Study from Port Phillip Bay. 1041. 1 indexed citations
20.
Argent, R. M., Rodger B. Grayson, & S. A. Ewing. (1999). Integrated models for environmental management: Issues of process and design. Environment International. 25(6-7). 693–699. 24 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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