G.A. Partington

18 total papers · 565 total citations
12 papers, 400 citations indexed

About

G.A. Partington is a scholar working on Artificial Intelligence, Geophysics and Environmental Engineering. According to data from OpenAlex, G.A. Partington has authored 12 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Geophysics and 4 papers in Environmental Engineering. Recurrent topics in G.A. Partington's work include Geochemistry and Geologic Mapping (11 papers), Geological and Geochemical Analysis (6 papers) and Soil Geostatistics and Mapping (4 papers). G.A. Partington is often cited by papers focused on Geochemistry and Geologic Mapping (11 papers), Geological and Geochemical Analysis (6 papers) and Soil Geostatistics and Mapping (4 papers). G.A. Partington collaborates with scholars based in Australia and Sweden. G.A. Partington's co-authors include David Groves, B.N. Eisenlohr, Neal J. McNaughton, Ian S. Williams, Phillip L. Blevin, A Ford, J.A. Fitzherbert, Tom Blenkinsop, Oliver P. Kreuzer and Cameron Huddlestone‐Holmes and has published in prestigious journals such as Economic Geology, Applied Geochemistry and Ore Geology Reviews.

In The Last Decade

G.A. Partington

12 papers receiving 363 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
G.A. Partington	287	282	66	65	52	12	400
Jiangnan Zhao	260 0.9×	130 0.5×	55 0.8×	69 1.1×	34 0.7×	26	378
Mario Billa	277 1.0×	299 1.1×	42 0.6×	77 1.2×	46 0.9×	9	430
Hesham M. Harbi	138 0.5×	279 1.0×	15 0.2×	16 0.2×	33 0.6×	25	343
Farahnaz Daliran	304 1.1×	358 1.3×	16 0.2×	38 0.6×	74 1.4×	14	446
Scott Halley	332 1.2×	326 1.2×	37 0.6×	15 0.2×	65 1.3×	17	393
Can Ge	175 0.6×	274 1.0×	84 1.3×	19 0.3×	32 0.6×	31	446
Richard C. Bayless	241 0.8×	191 0.7×	78 1.2×	61 0.9×	74 1.4×	15	355
Yongpeng Ouyang	254 0.9×	324 1.1×	41 0.6×	22 0.3×	33 0.6×	32	416
Lijuan Ying	271 0.9×	289 1.0×	29 0.4×	21 0.3×	57 1.1×	18	376
Hantao Wei	289 1.0×	190 0.7×	112 1.7×	37 0.6×	49 0.9×	18	362

Countries citing papers authored by G.A. Partington

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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