Paul Feikema

850 total citations
28 papers, 592 citations indexed

About

Paul Feikema is a scholar working on Global and Planetary Change, Water Science and Technology and Nature and Landscape Conservation. According to data from OpenAlex, Paul Feikema has authored 28 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Global and Planetary Change, 21 papers in Water Science and Technology and 8 papers in Nature and Landscape Conservation. Recurrent topics in Paul Feikema's work include Hydrology and Watershed Management Studies (20 papers), Plant Water Relations and Carbon Dynamics (17 papers) and Forest ecology and management (8 papers). Paul Feikema is often cited by papers focused on Hydrology and Watershed Management Studies (20 papers), Plant Water Relations and Carbon Dynamics (17 papers) and Forest ecology and management (8 papers). Paul Feikema collaborates with scholars based in Australia, United States and Germany. Paul Feikema's co-authors include Patrick N.J. Lane, Jim Morris, Stefan K. Arndt, Stephen J. Livesley, Christopher B. Sherwin, T. Baker, Luke D. Connell, C. Li, Murray Peel and David I. Forrester and has published in prestigious journals such as Global Change Biology, Journal of Hydrology and Plant and Soil.

In The Last Decade

Paul Feikema

27 papers receiving 559 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Feikema Australia 16 400 206 159 113 105 28 592
María Poca Argentina 12 337 0.8× 207 1.0× 168 1.1× 90 0.8× 98 0.9× 31 636
Chandra Prasad Ghimire Netherlands 15 464 1.2× 313 1.5× 106 0.7× 227 2.0× 84 0.8× 35 702
Mingquan Lv China 15 381 1.0× 162 0.8× 79 0.5× 69 0.6× 119 1.1× 26 701
Koji Tamai Japan 18 578 1.4× 162 0.8× 202 1.3× 210 1.9× 76 0.7× 62 804
Todd Redding Canada 11 210 0.5× 173 0.8× 86 0.5× 116 1.0× 72 0.7× 20 546
Salli F. Dymond United States 11 262 0.7× 185 0.9× 75 0.5× 132 1.2× 77 0.7× 33 445
John S. Sanderson United States 12 301 0.8× 314 1.5× 171 1.1× 73 0.6× 100 1.0× 21 606
Bhaskar Mitra United States 15 297 0.7× 165 0.8× 60 0.4× 121 1.1× 100 1.0× 36 583
Ethan E. Frost United States 5 532 1.3× 256 1.2× 157 1.0× 251 2.2× 62 0.6× 5 751

Countries citing papers authored by Paul Feikema

Since Specialization
Citations

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

Fields of papers citing papers by Paul Feikema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Feikema

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Feikema. A scholar is included among the top collaborators of Paul Feikema 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 Paul Feikema. Paul Feikema 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.
Bari, MA, et al.. (2023). Changes in Magnitude and Shifts in Timing of Australian Flood Peaks. Water. 15(20). 3665–3665. 1 indexed citations
2.
Bari, MA, et al.. (2023). Regional significance of historical trends and step changes in Australian streamflow. Hydrology and earth system sciences. 27(1). 229–254. 17 indexed citations
3.
Hapuarachchi, Hapu Arachchige Prasantha, MA Bari, Fitsum Woldemeskel, et al.. (2022). Development of a national 7-day ensemble streamflow forecasting service for Australia. Hydrology and earth system sciences. 26(18). 4801–4821. 24 indexed citations
4.
Lerat, Julien, Mark Thyer, David McInerney, et al.. (2020). A robust approach for calibrating a daily rainfall-runoff model to monthly streamflow data. Journal of Hydrology. 591. 125129–125129. 20 indexed citations
5.
Schepen, Andrew, Tongtiegang Zhao, Quan J. Wang, Senlin Zhou, & Paul Feikema. (2016). Optimising seasonal streamflow forecast lead time for operational decision making in Australia. Hydrology and earth system sciences. 20(10). 4117–4128. 17 indexed citations
7.
Togashi, Henrique Fürstenau, I. Colin Prentice, Bradley Evans, et al.. (2015). Morphological and moisture availability controls of the leaf area‐to‐sapwood area ratio: analysis of measurements on Australian trees. Ecology and Evolution. 5(6). 1263–1270. 31 indexed citations
8.
Feikema, Paul, Craig Beverly, Jim Morris, Patrick N.J. Lane, & Thomas Baker. (2012). Process-based modelling of vegetation to investigate effects of climate and tree cover change on catchment hydrology. IAHS-AISH publication. 353. 1 indexed citations
9.
Feikema, Paul, et al.. (2011). Combining forest growth and hydrologic modelling to examine relative effects of climate and land use change: a case study in the Delegate River catchment, south-eastern Australia. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 2 indexed citations
10.
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
11.
Feikema, Paul & T. Baker. (2011). Effect of soil salinity on growth of irrigated plantation Eucalyptus in south-eastern Australia. Agricultural Water Management. 98(7). 1180–1188. 28 indexed citations
12.
Feikema, Paul, et al.. (2010). Using 3PG+ to simulate longterm growth and transpiration in Eucalyptus regnans forests. ScholarsArchive (Brigham Young University). 1. 3 indexed citations
13.
Feikema, Paul, Jim Morris, Craig Beverly, et al.. (2010). Validation of plantation transpiration in south-eastern Australia estimated using the 3PG+ forest growth model. Forest Ecology and Management. 260(5). 663–678. 31 indexed citations
14.
Battaglia, Michael, Peter Sands, David I. Forrester, et al.. (2009). A comparison of four process-based models and a statistical regression model to predict growth of Eucalyptus globulus plantations. Ecological Modelling. 220(5). 734–746. 55 indexed citations
15.
Grote, Rüdiger, et al.. (2009). Evaluation of a process-based ecosystem model for long-term biomass and stand development of Eucalyptus globulus plantations. European Journal of Forest Research. 129(3). 377–391. 16 indexed citations
16.
Lane, Patrick N.J., et al.. (2009). Modelling the long term water yield impact of wildfire and other forest disturbance in Eucalypt forests. Environmental Modelling & Software. 25(4). 467–478. 56 indexed citations
17.
Feikema, Paul, et al.. (2008). Predicting and managing the impacts of commercial plantations on catchment water balances. 1 indexed citations
18.
Feikema, Paul, et al.. (2006). Hydrological studies into the impact of timber harvesting on water yield in state forests supplying water to Melbourne - Part 1 of Hydrological Studies. 3 indexed citations
19.
Sheridan, Gary, et al.. (2006). Estimated changes in stream water quality following the 2003 bushfires in Eastern Victoria. 1 indexed citations
20.

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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