J.G. Viets

800 citations
36 papers · 657 · h-index 13

Impact in

Papers in

J.G. Viets

23 papers receiving 523 citations

Peers

J.G. Viets
Comparison fields: 5 of 62
  • Geophysics 341
  • Geochemistry and Petrology 130
  • Analytical Chemistry 126
  • Artificial Intelligence 294
  • Paleontology 60
Replace P. Povondra with:
P. Povondra Czechia
E. Hoffman Canada
N. H. Suhr United States
J. J. Fardy Australia
E.L. Mosier United States
K.S.V. Subramanyam India
L.S. Dale Australia
E. Kiss Australia
Andreas Stroh Spain
Sarah Woodland Canada
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Citations per field
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P. Povondra · 1×
Citations per year

Countries citing papers authored by J.G. Viets

Since Specialization
Citations

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

Fields of papers citing papers by J.G. Viets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside J.G. Viets, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J.G. Viets Line = papers co-authored together J.G. Viets links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994118
2 197865
3 199654
4 199153
5 198150
6 199049
7 199148
8 199247
9 197937
10 199629
11 198425
12
Paragenetic and minor- and trace-element studies of Mississippi Valley-type ore deposits of the Silesian-Cracow district, Poland
199618
13 198116
14 198412
15 199211
16 19926
17
Genetic characteristics of fluid inclusions in sphalerite from the Silesian-Cracow ores, Poland
19965
18 19955
19
The composition of fluid inclusions in ore and gangue minerals from the Silesian-Cracow Mississippi Valley-type Zn-Pb deposits Poland: Genetic and environmental implications
19962
20 19832

About J.G. Viets

J.G. Viets is a scholar working on Artificial Intelligence, Mechanical Engineering, Mechanics of Materials, Geophysics and Analytical Chemistry, having authored 36 papers that have together received 657 indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (14 papers), Mineral Processing and Grinding (12 papers), Hydrocarbon exploration and reservoir analysis (12 papers), Analytical chemistry methods development (8 papers), Geological Formations and Processes Exploration (5 papers), Geological and Geochemical Analysis (5 papers), Geology and Environmental Impact Studies (5 papers) and Geology and Paleoclimatology Research (4 papers). The work is most often cited by research in Geophysics (341 citations), Geochemistry and Petrology (130 citations), Analytical Chemistry (126 citations), Artificial Intelligence (294 citations) and Paleontology (60 citations). J.G. Viets has collaborated with scholars based in United States. Frequent co-authors include D. L. Leach, J. R. Clark, Albert H. Hofstra, Elisabeth L. Rowan, Gary P. Landis, G. S. Plumlee, Poul Emsbo, Bruce Miller, R. M. O'Leary and E.L. Mosier. Their work appears in journals such as Analytical Chemistry, Economic Geology, Journal of Geochemical Exploration, Geological Quarterly and Applied Spectroscopy.

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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