Brian Rusk
- Geophysics top 0.5%
- Geological and Geochemical Analysis 34
- earthquake and tectonic studies 15
- High-pressure geophysics and materials 8
- Geochemistry and Petrology top 1%
- Artificial Intelligence top 1%
- Geochemistry and Geologic Mapping 25
- Atmospheric Science top 10%
- Geology and Paleoclimatology Research 5
- Mechanics of Materials top 5%
- Hydrocarbon exploration and reservoir analysis 5
- Laser-induced spectroscopy and plasma 2
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- Building materials and conservation 2
- Co-authors
- M. H. ReedHeather LowersJohn H. DillesCarl SpandlerJohn DonovanYanbo ChengJingwen MaoL. Klemm
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Brian Rusk
41 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 75
- Geophysics 2.2k
- Geochemistry and Petrology 419
- Artificial Intelligence 1.4k
- Atmospheric Science 220
- Mechanics of Materials 215
Countries citing papers authored by Brian Rusk
This map shows the geographic impact of Brian Rusk'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 Brian Rusk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Rusk more than expected).
Fields of papers citing papers by Brian Rusk
This network shows the impact of papers produced by Brian Rusk. 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 Brian Rusk. The network helps show where Brian Rusk may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brian Rusk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2020 | 3 | |
| 3 | 2018 | 112 | |
| 4 | 2018 | 60 | |
| 5 | 2017 | 80 | |
| 6 | 2015 | 16 | |
| 7 | 2015 | 76 | |
| 8 | Tectonics, Metallogeny, and Discovery: The North American Cordillera and Similar Accretionary Settings | 2013 | 99 |
| 9 | 2012 | 59 | |
| 10 | 2012 | 66 | |
| 11 | Metal zonation in the world-class Gejiu Sn-Cu polymetallic deposit, SW China | 2011 | 1 |
| 12 | 2011 | 65 | |
| 13 | 2011 | 2 | |
| 14 | Insights into hydrothermal processes from cathodoluminescence and trace elements in quartz | 2010 | 1 |
| 15 | Composition and source of salinity of ore-bearing fluids in Cu-Au systems of the Carajás Mineral Province, Brazil | 2009 | 12 |
| 16 | Ore fluid chemistry in super-giant porphyry copper deposits | 2008 | 3 |
| 17 | 2008 | 260 | |
| 18 | 2006 | 135 | |
| 19 | SEM-CL imaging of hydrothermal quartz – lessons and applications | 2004 | 2 |
| 20 | 2002 | 194 |
About Brian Rusk
Brian Rusk is a scholar working on Geophysics, Artificial Intelligence and Geochemistry and Petrology, having authored 42 papers that have together received 2.5k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (34 papers), Geochemistry and Geologic Mapping (25 papers), earthquake and tectonic studies (15 papers), High-pressure geophysics and materials (8 papers), Geology and Paleoclimatology Research (5 papers), Hydrocarbon exploration and reservoir analysis (5 papers), Laser-induced spectroscopy and plasma (2 papers) and Building materials and conservation (2 papers). The work is most often cited by research in Geophysics (2.2k citations), Geochemistry and Petrology (419 citations) and Artificial Intelligence (1.4k citations). Brian Rusk has collaborated with scholars based in United States, Australia and China. Frequent co-authors include M. H. Reed, Heather Lowers, John H. Dilles, Carl Spandler, John Donovan, Yanbo Cheng, Jingwen Mao, L. Klemm, Christoph A. Heinrich and Nicholas H.S. Oliver. Their work appears in journals such as Economic Geology, American Mineralogist, Chemical Geology, Journal of Asian Earth Sciences 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.