G.A. Partington
- Artificial Intelligence top 5%
- Geophysics top 5%
- Mechanical Engineering
- Environmental Engineering
- Geochemistry and Petrology top 10%
- Co-authors
- David GrovesB.N. EisenlohrNeal J. McNaughtonIan S. WilliamsPhillip L. BlevinJ.A. FitzherbertA FordOliver P. Kreuzer
- Topics
- Geochemistry and Geologic Mapping (11 papers)Geological and Geochemical Analysis (6 papers)Soil Geostatistics and Mapping (4 papers)
In The Last Decade
G.A. Partington
12 papers receiving 367 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 289
- Geophysics 282
- Mechanical Engineering 66
- Environmental Engineering 65
- Geochemistry and Petrology 51
Countries citing papers authored by G.A. Partington
This map shows the geographic impact of G.A. Partington'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. Partington 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. Partington more than expected).
Fields of papers citing papers by G.A. Partington
This network shows the impact of papers produced by G.A. Partington. 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. Partington. The network helps show where G.A. Partington may publish in the future.
Co-authorship network of co-authors of G.A. Partington
This figure shows the co-authorship network connecting the top 25 collaborators of G.A. Partington. A scholar is included among the top collaborators of G.A. Partington 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 G.A. Partington. G.A. Partington is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 42 | |
| 3 | Regional Prospectivity Modelling in Data-Poor Areas: The Kumasi Basin, Ghana | 4 |
| 4 | 40 | |
| 5 | IOCG Prospectivity Modelling in Namibia and Zambia Using Australian Information | 1 |
| 6 | Prospectivity Mapping Using GIS With Publicly Available Earth Science Data — A New Targeting Tool Being Successfully Used for Exploration in New Zealand | 13 |
| 7 | New perspectives on IOCG deposits, Mt Isa Eastern Succession, northwest Queensland | 4 |
| 8 | Controls on mineralisation in the Howley district, Northern Territory : a link between granite intrusion and gold mineralisation | 8 |
| 9 | Radiothermal Granites of the Cullen Batholith and Associated Mineralisation (Australia) | 4 |
| 10 | 114 | |
| 11 | 28 | |
| 12 | 139 |
About G.A. Partington
G.A. Partington is a scholar working on Geophysics, Artificial Intelligence and Environmental Engineering, having authored 12 papers that have together received 404 indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (11 papers), Geological and Geochemical Analysis (6 papers) and Soil Geostatistics and Mapping (4 papers). The work is most often cited by research in Geophysics (282 citations), Artificial Intelligence (289 citations) and Geochemistry and Petrology (51 citations). G.A. Partington has collaborated with scholars based in Australia and Sweden. Frequent co-authors include David Groves, B.N. Eisenlohr, Neal J. McNaughton, Ian S. Williams, Phillip L. Blevin, J.A. Fitzherbert, A Ford, Oliver P. Kreuzer, Tom Blenkinsop and Cameron Huddlestone‐Holmes. Their work appears in journals such as Economic Geology, Applied Geochemistry and Ore Geology Reviews.
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.