G.A. Bartle

672 citations
22 papers · 550 · h-index 15

Impact in

Papers in

G.A. Bartle

22 papers receiving 465 citations

Peers

G.A. Bartle
Comparison fields: 5 of 48
  • Forestry 91
  • Water Science and Technology 174
  • Soil Science 119
  • Geochemistry and Petrology 71
  • Environmental Engineering 162
Replace G.D. Watson with:
G.D. Watson Australia
P. Farrington Australia
R A Nulsen Australia
Tim Ellis Australia
J. W. Holmes Australia
María Poca Argentina
P. Mérot France
T. Keefer United States
R. H. Crockford Australia
Yujun Ma China
G.A. Bartle relative to G.D. Watson Australia G.D. Watson's profile →
Citations per field
00.5×
G.D. Watson · 1×
Citations per year

Countries citing papers authored by G.A. Bartle

Since Specialization
Citations

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

Fields of papers citing papers by G.A. Bartle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside G.A. Bartle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G.A. Bartle Line = papers co-authored together G.A. Bartle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198071
2 198948
3 199342
4 200237
5 199335
6 199335
7 199033
8 199433
9 199431
10 199429
11 199227
12 199327
13
Landforms and soils of the south coast and hinterland, Western Australia. Northcliffe to Manypeaks
198822
14 199118
15 198016
16 200213
17 200211
18 19817
19
Modelling Drainage and Transient Waterlogging in an Agricultural Catchment
19995
20
Geomorphology, soils and landuse in the Swan Coastal Plain in relation to contaminant leaching
20015

About G.A. Bartle

G.A. Bartle is a scholar working on Water Science and Technology, Environmental Engineering, Global and Planetary Change, Forestry and Artificial Intelligence, having authored 22 papers that have together received 550 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (11 papers), Plant Water Relations and Carbon Dynamics (7 papers), Groundwater and Watershed Analysis (5 papers), Soil Geostatistics and Mapping (4 papers), Groundwater flow and contamination studies (3 papers), Geochemistry and Geologic Mapping (3 papers), Pasture and Agricultural Systems (3 papers) and Soil and Water Nutrient Dynamics (2 papers). The work is most often cited by research in Forestry (91 citations), Water Science and Technology (174 citations), Soil Science (119 citations), Geochemistry and Petrology (71 citations) and Environmental Engineering (162 citations). G.A. Bartle has collaborated with scholars based in Australia. Frequent co-authors include P. Farrington, R. B. Salama, G.D. Watson, BA Carbon, Alison M. Murray, E.A.N. Greenwood, J.D. Beresford, Geoff Hodgson, Richard Silberstein and Tom Hatton. Their work appears in journals such as Journal of Hydrology, Agricultural Water Management, Forest Ecology and Management, Forest Science and Pacific Conservation Biology.

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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