Glenn A. Harrington

1.2k total citations
50 papers, 940 citations indexed

About

Glenn A. Harrington is a scholar working on Environmental Engineering, Geochemistry and Petrology and Water Science and Technology. According to data from OpenAlex, Glenn A. Harrington has authored 50 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Environmental Engineering, 29 papers in Geochemistry and Petrology and 12 papers in Water Science and Technology. Recurrent topics in Glenn A. Harrington's work include Groundwater and Isotope Geochemistry (28 papers), Groundwater flow and contamination studies (25 papers) and Hydrology and Watershed Management Studies (12 papers). Glenn A. Harrington is often cited by papers focused on Groundwater and Isotope Geochemistry (28 papers), Groundwater flow and contamination studies (25 papers) and Hydrology and Watershed Management Studies (12 papers). Glenn A. Harrington collaborates with scholars based in Australia, Canada and United States. Glenn A. Harrington's co-authors include Peter G. Cook, Andrew L. Herczeg, W. Payton Gardner, M. Jim Hendry, Brian Smerdon, Cameron Wood, Jordi Batlle‐Aguilar, D. Kip Solomon, Neville I. Robinson and S. J. Tickell and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Chemical Geology.

In The Last Decade

Glenn A. Harrington

49 papers receiving 915 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Glenn A. Harrington Australia 19 547 490 344 163 108 50 940
Jingli Shao China 17 475 0.9× 434 0.9× 401 1.2× 162 1.0× 60 0.6× 50 1.0k
Pablo Jiménez‐Gavilán Spain 16 547 1.0× 554 1.1× 272 0.8× 180 1.1× 94 0.9× 45 1.1k
Marc Van Camp Belgium 24 743 1.4× 666 1.4× 539 1.6× 238 1.5× 89 0.8× 86 1.4k
Matthias Raiber Australia 17 435 0.8× 486 1.0× 253 0.7× 137 0.8× 87 0.8× 47 853
Eduardo Emilio Kruse Argentina 23 519 0.9× 598 1.2× 371 1.1× 175 1.1× 121 1.1× 106 1.3k
Eric W. Peterson United States 16 506 0.9× 262 0.5× 304 0.9× 109 0.7× 230 2.1× 87 1.1k
Victor M. Heilweil United States 14 334 0.6× 241 0.5× 271 0.8× 197 1.2× 90 0.8× 40 611
Yasuo Sakura Japan 15 408 0.7× 354 0.7× 246 0.7× 143 0.9× 79 0.7× 39 831
Andres Marandi Estonia 16 460 0.8× 632 1.3× 375 1.1× 99 0.6× 145 1.3× 33 1.0k
Klaus Hinsby Denmark 19 653 1.2× 664 1.4× 365 1.1× 106 0.7× 200 1.9× 55 1.3k

Countries citing papers authored by Glenn A. Harrington

Since Specialization
Citations

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

Fields of papers citing papers by Glenn A. Harrington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Glenn A. Harrington

This figure shows the co-authorship network connecting the top 25 collaborators of Glenn A. Harrington. A scholar is included among the top collaborators of Glenn A. Harrington 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 Glenn A. Harrington. Glenn A. Harrington 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
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Watson, Ian, Bill Wang, Joanne Vanderzalm, et al.. (2018). Chapter 2: Water resource assessment for the Fitzroy catchment. CSIRO. 1 indexed citations
4.
Wood, Cameron, et al.. (2016). Constraining spatial variability in recharge and discharge in an arid environment through modeling carbon‐14 with improved boundary conditions. Water Resources Research. 53(1). 142–157. 11 indexed citations
5.
Harrington, Glenn A., et al.. (2014). Relative rates of solute and pressure propagation into heterogeneous alluvial aquifers following river flow events. Journal of Hydrology. 511. 891–903. 14 indexed citations
6.
Shanafield, Margaret, et al.. (2014). Estimating seepage flux from ephemeral stream channels using surface water and groundwater level data. Water Resources Research. 50(2). 1474–1489. 27 indexed citations
7.
Smerdon, Brian, et al.. (2014). Estimating the hydraulic properties of an aquitard from in situ pore pressure measurements. Hydrogeology Journal. 22(8). 1875–1887. 22 indexed citations
8.
Batlle‐Aguilar, Jordi, et al.. (2014). Chemistry of groundwater discharge inferred from longitudinal river sampling. Water Resources Research. 50(2). 1550–1568. 38 indexed citations
9.
Hendry, M. Jim & Glenn A. Harrington. (2014). Comparing vertical profiles of natural tracers in the Williston Basin to estimate the onset of deep aquifer activation. Water Resources Research. 50(8). 6496–6506. 20 indexed citations
10.
Harrington, Glenn A., W. Payton Gardner, Brian Smerdon, & M. Jim Hendry. (2013). Palaeohydrogeological insights from natural tracer profiles in aquitard porewater, Great Artesian Basin, Australia. Water Resources Research. 49(7). 4054–4070. 35 indexed citations
11.
Post, David, Francis H. S. Chiew, Jin Teng, et al.. (2011). A robust methodology for conducting large-scale assessments of current and future water availability and use: A case study in Tasmania, Australia. Journal of Hydrology. 412-413. 233–245. 35 indexed citations
12.
Gardner, W. Payton, Glenn A. Harrington, D. Kip Solomon, & Peter G. Cook. (2011). Using terrigenic 4He to identify and quantify regional groundwater discharge to streams. Water Resources Research. 47(6). 64 indexed citations
13.
Crosbie, Russell S., James L. McCallum, & Glenn A. Harrington. (2009). Estimation of groundwater recharge and discharge across northern Australia. Congress on Modelling and Simulation. 3053–3059. 9 indexed citations
14.
Cresswell, Richard, et al.. (2009). Chapter 1 Water resources in northern Australia. In: Northern Australia Land and Water Science Review. 3 indexed citations
15.
Hendry, M. Jim, et al.. (2008). The arsenic source term for an in-pit uranium mine tailings facility and its long-term impact on the regional groundwater. Applied Geochemistry. 23(6). 1437–1450. 18 indexed citations
16.
Hendry, M. Jim, et al.. (2005). Geochemical and mineralogical controls on arsenic release from uranium mine tailings. Geochimica et Cosmochimica Acta Supplement. 69(10). 1 indexed citations
17.
Harrington, Glenn A. & M. Jim Hendry. (2005). Chemical heterogeneity in diffusion‐dominated aquitards. Water Resources Research. 41(12). 8 indexed citations
18.
Harrington, Glenn A., et al.. (2002). Hydrogeology and drilling phase 1 for Scott Creek catchment. Geo-Leo e-docs (Deutsche Initiative für Netzwerkinformation). 1 indexed citations
19.
Harrington, Glenn A., Peter G. Cook, & Andrew L. Herczeg. (2002). Spatial and Temporal Variability of Ground Water Recharge in Central Australia: A Tracer Approach. Ground Water. 40(5). 518–527. 114 indexed citations
20.
Harrington, Glenn A. & Andrew L. Herczeg. (1999). Estimating groundwater 14C ages in the arid Ti-Tree Basin, Central Australia: Use of 87Sr/86Sr to constrain sources of inorganic carbon. 3 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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