On the public citation graph
Is there a metric for mineral deposit occurrence probabilities?
0 signed · 23 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1086/628674openalex-snapshot
Relations of Tectonics to Ore Deposits in the Southern Cordillera. W. R. Dickinson , W. D. Payne
inferredcites →https://doi.org/10.2113/gsecongeo.82.1.1openalex-snapshot
Comparative anatomy of volcanic-hosted epithermal deposits; acid-sulfate and adularia-sericite types
inferredcites →https://doi.org/10.2113/gsecongeo.84.7.1936openalex-snapshot
Undiscovered lode tin resources of the Seward Peninsula, Alaska
inferredcites →https://doi.org/10.2113/gsecongeo.87.4.1005openalex-snapshot
A descriptive model for silver-lead-zinc veins in clastic metasedimentary terranes
inferredcites →https://doi.org/10.3133/b1666openalex-snapshot
Geologic and grade-tonnage information on Tertiary epithermal precious- and base-metal vein districts associated with volcanic rocks
inferredcites →https://doi.org/10.3133/pp454hopenalex-snapshot
The disparity between present rates of denudation and orogeny
inferredcites →https://doi.org/10.5962/bhl.title.18416openalex-snapshot
The ore deposits of the United States
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/bf02257574openalex-snapshot
Mineral-resource assessment-perspectives on the past and present and speculation on future directions
inferred← citeshttps://doi.org/10.1007/bf02259044openalex-snapshot
Using PETRIMES to estimate mercury deposits in California
inferred← citeshttps://doi.org/10.1007/bf02272804openalex-snapshot
Basic concepts in three-part quantitative assessments of undiscovered mineral resources
inferred← citeshttps://doi.org/10.1007/s00126-009-0250-6openalex-snapshot
Mapping of prospectivity and estimation of number of undiscovered prospects for lode gold, southwestern Ashanti Belt, Ghana
inferred← citeshttps://doi.org/10.1007/s00126-019-00916-1openalex-snapshot
Appraisal of the USGS Three-Part Mineral Resource Assessment through estimation of the orogenic gold endowment of the Sandstone Greenstone Belt, Yilgarn Craton, Western Australia
inferred← citeshttps://doi.org/10.1007/s11053-018-9369-4openalex-snapshot
Natural Resources Research Publications on Resourcing Future Generations, and Introduction of Papers in this Special Issue
inferred← citeshttps://doi.org/10.1016/j.cageo.2011.05.007openalex-snapshot
Mineral potential targeting and resource assessment based on 3D geological modeling in Luanchuan region, China
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2010.02.003openalex-snapshot
Predictive mapping of prospectivity and quantitative estimation of undiscovered VMS deposits in Skellefte district (Sweden)
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2020.103369openalex-snapshot
Towards producing mineral resource-potential maps within a mineral systems framework, with emphasis on Australian orogenic gold systems
inferred← citeshttps://doi.org/10.1016/j.oreoa.2020.100006openalex-snapshot
Assessing the variability of expert estimates in the USGS Three-part Undiscovered Mineral Resource Assessment methodology: A call for increased skill diversity and scenario-based training
inferred← citeshttps://doi.org/10.1023/a:1012536823294openalex-snapshot
Quantitative Analysis of Mineral Resources for Strategic Planning: Implications for Australian Geological Surveys
inferred← citeshttps://doi.org/10.1023/a:1022660522711openalex-snapshot
Estimates of Number of Undiscovered Deposits of Gold, Silver, Copper, Lead, and Zinc in the United States
inferred← citeshttps://doi.org/10.1080/25726838.2020.1783740openalex-snapshot
Predicting grade-tonnage characteristics of undiscovered mineralisation: application of the USGS Three-part Undiscovered Mineral Resource Assessment to the Sandstone Greenstone Belt of the Yilgarn Block, Western Australia
inferred← citeshttps://doi.org/10.1111/j.1751-3928.2010.00146.xopenalex-snapshot
From Predictive Mapping of Mineral Prospectivity to Quantitative Estimation of Number of Undiscovered Prospects
inferred← citeshttps://doi.org/10.3133/ofr93207openalex-snapshot
Mineral resource assessment of the Absaroka-Beartooth study area, Custer and Gallatin national forests, Montana
inferred← citeshttps://doi.org/10.3133/sir20105090aopenalex-snapshot
Global mineral resource assessment: porphyry copper assessment of Mexico: Chapter A in Global mineral resource assessment
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.