Andreas G. Mueller

839 total citations
30 papers, 730 citations indexed

About

Andreas G. Mueller is a scholar working on Artificial Intelligence, Geophysics and Mechanics of Materials. According to data from OpenAlex, Andreas G. Mueller has authored 30 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 28 papers in Geophysics and 3 papers in Mechanics of Materials. Recurrent topics in Andreas G. Mueller's work include Geochemistry and Geologic Mapping (29 papers), Geological and Geochemical Analysis (28 papers) and earthquake and tectonic studies (21 papers). Andreas G. Mueller is often cited by papers focused on Geochemistry and Geologic Mapping (29 papers), Geological and Geochemical Analysis (28 papers) and earthquake and tectonic studies (21 papers). Andreas G. Mueller collaborates with scholars based in Australia, Germany and United States. Andreas G. Mueller's co-authors include David I. Groves, Janet R. Muhling, Neal J. McNaughton, Birger Rasmussen, Ian R. Fletcher, Lyal B. Harris, J.R. De Laeter, Steffen G. Hagemann, A. A. Nemchin and Claude Delor and has published in prestigious journals such as Geology, Contributions to Mineralogy and Petrology and Economic Geology.

In The Last Decade

Andreas G. Mueller

29 papers receiving 684 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas G. Mueller Australia 18 684 587 117 46 37 30 730
Stephen M. Rowins Canada 9 684 1.0× 524 0.9× 140 1.2× 36 0.8× 22 0.6× 15 717
Hegen Ouyang China 16 1.0k 1.5× 784 1.3× 191 1.6× 36 0.8× 28 0.8× 34 1.1k
Geordie Mark Australia 11 697 1.0× 419 0.7× 118 1.0× 36 0.8× 25 0.7× 21 725
Sheng-Hong Yang Finland 17 924 1.4× 526 0.9× 138 1.2× 34 0.7× 40 1.1× 36 975
Xue-Ming Yang Canada 16 687 1.0× 428 0.7× 164 1.4× 25 0.5× 33 0.9× 34 753
Yongqiang Yang China 14 954 1.4× 663 1.1× 131 1.1× 35 0.8× 34 0.9× 30 1.0k
Mingtian Zhu China 15 705 1.0× 466 0.8× 156 1.3× 34 0.7× 44 1.2× 39 739
Wu‐Bin Yang China 21 1.1k 1.7× 582 1.0× 252 2.2× 32 0.7× 54 1.5× 57 1.2k
R. M. Morelli Canada 7 437 0.6× 348 0.6× 103 0.9× 19 0.4× 46 1.2× 11 474
Alexei S. Rukhlov Canada 7 569 0.8× 338 0.6× 120 1.0× 20 0.4× 44 1.2× 15 608

Countries citing papers authored by Andreas G. Mueller

Since Specialization
Citations

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

Fields of papers citing papers by Andreas G. Mueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas G. Mueller

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas G. Mueller. A scholar is included among the top collaborators of Andreas G. Mueller 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 Andreas G. Mueller. Andreas G. Mueller 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
2.
Mueller, Andreas G., Steffen G. Hagemann, Joël Brugger, Yanlu Xing, & Malcolm P. Roberts. (2020). Early Fimiston and late Oroya Au–Te ore, Paringa South mine, Golden Mile, Kalgoorlie: 4. Mineralogical and thermodynamic constraints on gold deposition by magmatic fluids at 420–300 °C and 300 MPa. Mineralium Deposita. 55(4). 767–796. 14 indexed citations
6.
Mueller, Andreas G.. (2017). Mount Charlotte deposit – Kalgoorlie Goldfield. UWA Profiles and Research Repository (University of Western Australia). 195–198. 1 indexed citations
8.
Mueller, Andreas G. & Janet R. Muhling. (2012). Silver-rich telluride mineralization at Mount Charlotte and Au–Ag zonation in the giant Golden Mile deposit, Kalgoorlie, Western Australia. Mineralium Deposita. 48(3). 295–311. 27 indexed citations
12.
14.
Mueller, Andreas G., I. H. Campbell, L. Schiøtte, James H. Sevigny, & Paul W. Layer. (1996). Constraints on the age of granitoid emplacement, metamorphism, gold mineralization, and subsequent cooling of the Archean greenstone terrane at Big Bell, Western Australia. Economic Geology. 91(5). 896–915. 31 indexed citations
16.
Groves, David, A. C. Barnicoat, Mark Barley, et al.. (1992). Sub-greenschist to granulite-hosted Archaean lode-gold deposits: a depositional continuum from deep-sourced hydrothermal fluids in crustal-scale plumbing systems. UWA Profiles and Research Repository (University of Western Australia). 325–338. 8 indexed citations
17.
McNaughton, Neal J., K.F. Cassidy, J.R. De Laeter, et al.. (1992). The source of ore components in lode-gold deposits of the Yilgarn Block, Western Australia. UWA Profiles and Research Repository (University of Western Australia). 351–363. 17 indexed citations
19.
Mueller, Andreas G. & David I. Groves. (1991). The classification of Western Australian greenstone-hosted gold deposits according to wallrock-alteration mineral assemblages. Ore Geology Reviews. 6(4). 291–331. 64 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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