David McJannet

2.2k total citations
51 papers, 1.6k citations indexed

About

David McJannet is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, David McJannet has authored 51 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Global and Planetary Change, 22 papers in Water Science and Technology and 17 papers in Environmental Engineering. Recurrent topics in David McJannet's work include Plant Water Relations and Carbon Dynamics (21 papers), Hydrology and Watershed Management Studies (19 papers) and Soil erosion and sediment transport (11 papers). David McJannet is often cited by papers focused on Plant Water Relations and Carbon Dynamics (21 papers), Hydrology and Watershed Management Studies (19 papers) and Soil erosion and sediment transport (11 papers). David McJannet collaborates with scholars based in Australia, United States and Germany. David McJannet's co-authors include Jim Wallace, Aaron Hawdon, F. J. Cook, Paul Reddell, Stewart Burn, Brett N. Abbott, John A. Ludwig, Rebecca Bartley, Peter Fitch and Hamish A. McGowan and has published in prestigious journals such as Remote Sensing of Environment, Water Resources Research and Journal of Hydrology.

In The Last Decade

David McJannet

48 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David McJannet Australia 23 877 570 495 481 298 51 1.6k
Sylvie Galle France 25 1.0k 1.2× 627 1.1× 487 1.0× 631 1.3× 240 0.8× 58 1.9k
Richard Silberstein Australia 21 960 1.1× 697 1.2× 297 0.6× 341 0.7× 250 0.8× 67 1.6k
Christophe Peugeot France 22 975 1.1× 660 1.2× 454 0.9× 401 0.8× 159 0.5× 48 1.6k
N. Boulain France 22 1.1k 1.3× 383 0.7× 364 0.7× 442 0.9× 454 1.5× 29 1.6k
W. Jesse Hahm United States 18 614 0.7× 536 0.9× 513 1.0× 314 0.7× 279 0.9× 41 1.5k
Baoqing Zhang China 26 1.7k 1.9× 1.0k 1.8× 540 1.1× 371 0.8× 406 1.4× 53 2.4k
Alon Rimmer Israel 25 545 0.6× 667 1.2× 326 0.7× 467 1.0× 259 0.9× 58 1.7k
Brian Smerdon Canada 23 521 0.6× 939 1.6× 324 0.7× 731 1.5× 417 1.4× 61 1.8k
Zhongwang Wei China 26 1.6k 1.9× 896 1.6× 669 1.4× 471 1.0× 241 0.8× 90 2.2k
S. A. Kurc United States 12 1.1k 1.3× 328 0.6× 466 0.9× 467 1.0× 465 1.6× 23 1.6k

Countries citing papers authored by David McJannet

Since Specialization
Citations

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

Fields of papers citing papers by David McJannet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David McJannet

This figure shows the co-authorship network connecting the top 25 collaborators of David McJannet. A scholar is included among the top collaborators of David McJannet 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 David McJannet. David McJannet 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.
Zacharias, Steffen, et al.. (2025). Neutron Monitor Based Incoming Flux Correction for Cosmic‐Ray Neutron Sensing of Environmental Water. Water Resources Research. 61(9).
2.
Malone, Brendan, Ross Searle, David McJannet, et al.. (2025). Update and expansion of the soil and landscape grid of Australia. Geoderma. 455. 117226–117226. 3 indexed citations
3.
Coxon, Gemma, Ross Woods, Miguel A. Rico‐Ramirez, et al.. (2024). Evaluation of reanalysis soil moisture products using cosmic ray neutron sensor observations across the globe. Hydrology and earth system sciences. 28(9). 1999–2022. 15 indexed citations
4.
McJannet, David, et al.. (2023). Incoming Neutron Flux Corrections for Cosmic‐Ray Soil and Snow Sensors Using the Global Neutron Monitor Network. Water Resources Research. 59(4). 12 indexed citations
5.
McIntyre, Neil, et al.. (2022). Deterministic and Stochastic Generation of Evaporation Data for Long-Term Mine Pit Lake Water Balance Modelling. Water. 14(24). 4123–4123. 1 indexed citations
6.
McJannet, David, et al.. (2019). Evaporation from coal mine pit lakes: measurements and modelling. Mine closure. 6 indexed citations
7.
McJannet, David, et al.. (2017). Measurements of evaporation from a mine void lake and testing of modelling approaches. Journal of Hydrology. 555. 631–647. 29 indexed citations
8.
McJannet, David, Aaron Hawdon, B. Baker, Luigi J. Renzullo, & Ross Searle. (2017). Multiscale soil moisture estimates using static and roving cosmic-ray soil moisture sensors. Hydrology and earth system sciences. 21(12). 6049–6067. 30 indexed citations
9.
Wallace, Jim, Nathan J. Waltham, Damien Burrows, & David McJannet. (2015). The temperature regimes of dry-season waterholes in tropical northern Australia: potential effects on fish refugia. Freshwater Science. 34(2). 663–678. 25 indexed citations
10.
McGowan, Hamish A., et al.. (2013). Quantification of surface energy fluxes from a small water body using scintillometry and eddy covariance. Water Resources Research. 50(1). 494–513. 41 indexed citations
11.
McJannet, David, F. J. Cook, & Stewart Burn. (2013). Comparison of techniques for estimating evaporation from an irrigation water storage. Water Resources Research. 49(3). 1415–1428. 54 indexed citations
12.
Petheram, Cuan, Ian Watson, M. Craig Barber, et al.. (2012). Proposed project methods for the Flinders and Gilbert agricultural resource assessment. Own your potential (DEAKIN). 733–741. 1 indexed citations
13.
McJannet, David, et al.. (2011). The filtering capacity of a tropical riverine wetland: I. Water balance. Hydrological Processes. 26(1). 40–52. 18 indexed citations
14.
McJannet, David, Jim Wallace, & Paul Reddell. (2007). Precipitation interception in Australian tropical rainforests: I. Measurement of stemflow, throughfall and cloud interception. Hydrological Processes. 21(13). 1692–1702. 41 indexed citations
15.
McJannet, David, et al.. (2007). Measurements of transpiration in four tropical rainforest types of north Queensland, Australia. Hydrological Processes. 21(26). 3549–3564. 89 indexed citations
16.
Ludwig, John A., Rebecca Bartley, Aaron Hawdon, Brett N. Abbott, & David McJannet. (2007). Patch Configuration Non-linearly Affects Sediment Loss across Scales in a Grazed Catchment in North-east Australia. Ecosystems. 10(5). 839–845. 60 indexed citations
17.
McJannet, David. (2006). Methodology for estimating cloud interception inputs to tropical rainforest. CSIRO. 4 indexed citations
18.
19.
McJannet, David & Rob Vertessy. (2001). Effects of thinning on wood production, leaf area index, transpiration and canopy interception of a plantation subject to drought. Tree Physiology. 21(12-13). 1001–1008. 25 indexed citations
20.
McJannet, David, et al.. (2000). Observations of evapotranspiration in a break of slope plantation susceptible to periodic drought stress. Tree Physiology. 20(3). 169–177. 16 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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