Jon Hronsky

3.6k total citations · 2 hit papers
34 papers, 2.8k citations indexed

About

Jon Hronsky is a scholar working on Geophysics, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Jon Hronsky has authored 34 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Geophysics, 21 papers in Artificial Intelligence and 6 papers in Mechanical Engineering. Recurrent topics in Jon Hronsky's work include Geological and Geochemical Analysis (20 papers), Geochemistry and Geologic Mapping (20 papers) and earthquake and tectonic studies (15 papers). Jon Hronsky is often cited by papers focused on Geological and Geochemical Analysis (20 papers), Geochemistry and Geologic Mapping (20 papers) and earthquake and tectonic studies (15 papers). Jon Hronsky collaborates with scholars based in Australia, United States and Iran. Jon Hronsky's co-authors include T. Campbell McCuaig, Graham Begg, David I. Groves, William L. Griffin, Suzanne Y. O’Reilly, Steve Beresford, Oliver P. Kreuzer, Mahyar Yousefi, Robert R. Loucks and Vesa Nykänen and has published in prestigious journals such as Geochimica et Cosmochimica Acta, Geology and Earth-Science Reviews.

In The Last Decade

Jon Hronsky

31 papers receiving 2.7k citations

Hit Papers

The lithospheric architecture of Africa: Seismic tomograp... 2009 2026 2014 2020 2009 2010 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jon Hronsky Australia 19 2.1k 1.9k 363 360 281 34 2.8k
S. J. Gardoll Australia 12 1.8k 0.9× 1.8k 0.9× 169 0.5× 195 0.5× 144 0.5× 17 2.2k
T. Campbell McCuaig Australia 40 4.6k 2.2× 3.9k 2.0× 308 0.8× 445 1.2× 287 1.0× 74 5.5k
Basem Zoheir Egypt 30 1.4k 0.7× 2.1k 1.1× 323 0.9× 572 1.6× 937 3.3× 110 2.6k
Leon Bagas China 37 4.1k 2.0× 3.1k 1.6× 153 0.4× 118 0.3× 81 0.3× 179 4.6k
Mark Lindsay Australia 25 878 0.4× 836 0.4× 133 0.4× 237 0.7× 77 0.3× 102 1.7k
Gongwen Wang China 23 647 0.3× 1.1k 0.6× 279 0.8× 296 0.8× 176 0.6× 94 1.5k
Juxing Tang China 28 2.2k 1.1× 1.8k 0.9× 109 0.3× 67 0.2× 143 0.5× 137 2.5k
Ignacio González-Álvarez Australia 21 580 0.3× 783 0.4× 132 0.4× 229 0.6× 168 0.6× 70 1.2k

Countries citing papers authored by Jon Hronsky

Since Specialization
Citations

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

Fields of papers citing papers by Jon Hronsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon Hronsky. 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 Jon Hronsky. The network helps show where Jon Hronsky may publish in the future.

Co-authorship network of co-authors of Jon Hronsky

This figure shows the co-authorship network connecting the top 25 collaborators of Jon Hronsky. A scholar is included among the top collaborators of Jon Hronsky 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 Jon Hronsky. Jon Hronsky 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
1.
Yousefi, Mahyar, Vesa Nykänen, Jeff W. Harris, et al.. (2024). Overcoming survival bias in targeting mineral deposits of the future: Towards null and negative tests of the exploration search space, accounting for lack of visibility. Ore Geology Reviews. 172. 106214–106214. 13 indexed citations
2.
Yousefi, Mahyar & Jon Hronsky. (2023). Translation of the function of hydrothermal mineralization-related focused fluid flux into a mappable exploration criterion for mineral exploration targeting. Applied Geochemistry. 149. 105561–105561. 36 indexed citations
3.
Hagemann, Steffen G., Nicholas Hayward, Graham Begg, et al.. (2023). Cryptic trans-lithospheric fault systems at the western margin of South America: implications for the formation and localization of gold-rich deposit superclusters. Frontiers in Earth Science. 11. 5 indexed citations
4.
Cooke, David R., et al.. (2023). A Model for the Lithospheric Architecture of the Central Andes and the Localization of Giant Porphyry Copper Deposit Clusters. Economic Geology. 118(6). 1235–1259. 13 indexed citations
7.
McCuaig, T. Campbell & Jon Hronsky. (2017). The mineral systems concept: the key to exploration targeting. Applied Earth Science Transactions of the Institutions of Mining and Metallurgy Section B. 126(2). 77–78. 93 indexed citations
8.
Hronsky, Jon. (2015). The future of mineral exploration - and what it means for geophysics Minerals keynote paper. ASEG Extended Abstracts. 2015(1). 1–1.
9.
Hronsky, Jon, David I. Groves, Robert R. Loucks, & Graham Begg. (2012). A unified model for gold mineralisation in accretionary orogens and implications for regional-scale exploration targeting methods. Mineralium Deposita. 47(4). 339–358. 245 indexed citations
10.
Fiorentini, Marco L., S. W. Beresford, M. E. Barley, et al.. (2012). District to Camp Controls on the Genesis of Komatiite-Hosted Nickel Sulfide Deposits, Agnew-Wiluna Greenstone Belt, Western Australia: Insights from the Multiple Sulfur Isotopes. Economic Geology. 107(5). 781–796. 85 indexed citations
11.
Hronsky, Jon. (2011). Self-Organized Critical Systems and Ore Formation: The Key to Spatial Targeting?*. 24 indexed citations
12.
Begg, Graham, Jon Hronsky, N. T. Arndt, et al.. (2010). Lithospheric, Cratonic, and Geodynamic Setting of Ni-Cu-PGE Sulfide Deposits. Economic Geology. 105(6). 1057–1070. 258 indexed citations
13.
Hronsky, Jon, et al.. (2009). Exploration Targeting in a Business Context. UWA Profiles and Research Repository (University of Western Australia). 1 indexed citations
14.
O’Reilly, Suzanne Y., Ming Zhang, William L. Griffin, Graham Begg, & Jon Hronsky. (2009). Ultradeep continental roots and their oceanic remnants: A solution to the geochemical “mantle reservoir” problem?. Lithos. 112. 1043–1054. 102 indexed citations
15.
Begg, Graham, Jon Hronsky, Suzanne Y. O’Reilly, William L. Griffin, & N. J. Hayward. (2009). Plumes, cratons and nickel sulphide deposits. 147–148. 4 indexed citations
16.
Hronsky, Jon & David I. Groves. (2008). Science of targeting: definition, strategies, targeting and performance measurement. Australian Journal of Earth Sciences. 55(1). 3–12. 193 indexed citations
17.
Djomani, Yvette H. Poudjom, et al.. (2003). Upper mantle structure beneath eastern Siberia: Evidence from gravity modeling and mantle petrology. Geochemistry Geophysics Geosystems. 4(7). 14 indexed citations
18.
Djomani, Yvette H. Poudjom, et al.. (2001). Lithospheric boundaries on the eastern Siberian platform. ASEG Extended Abstracts. 2001(1). 1–3.
19.
Groves, David I., John Ridley, M. Gebre-Mariam, et al.. (1995). Lode-gold deposits of the Yilgarn block: products of Late Archaean crustal-scale overpressured hydrothermal systems. Geological Society London Special Publications. 95(1). 155–172. 76 indexed citations
20.
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

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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