R. D. Gee

429 citations
12 papers · 352 · h-index 10

Impact in

  • Geophysics top 5%
    • Geological and Geochemical Analysis
    • earthquake and tectonic studies
    • High-pressure geophysics and materials
  • Geology top 5%
    • Geological and Geophysical Studies

Papers in

    • Geological and Geochemical Analysis 9
    • earthquake and tectonic studies 6
    • High-pressure geophysics and materials 2
    • Geological and Geophysical Studies 4

R. D. Gee

12 papers receiving 308 citations

Peers

R. D. Gee
Comparison fields: 5 of 32
  • Geophysics 306
  • Geology 70
  • Geochemistry and Petrology 43
  • Artificial Intelligence 153
  • Paleontology 27
Replace R. T. Lubala with:
R. T. Lubala Democratic Republic of the Congo
M. J. Abbott Australia
N.J. Archibald Australia
Richard S. Naylor United States
R. Renner United Kingdom
Shin-ichi Yoshikura Japan
P. W. Vitanage Sri Lanka
Chris Tarlowski Australia
R. Parrish United Kingdom
M. Colchen France
R. D. Gee relative to R. T. Lubala Democratic Republic of the Congo R. T. Lubala's profile →
Citations per field
00.5×1.5×
R. T. Lubala · 1×
Citations per year

Countries citing papers authored by R. D. Gee

Since Specialization
Citations

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

Fields of papers citing papers by R. D. Gee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. D. Gee. 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 R. D. Gee. The network helps show where R. D. Gee may publish in the future.

Co-authors

The 13 scholars most cited alongside R. D. Gee, 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 R. D. Gee Line = papers co-authored together R. D. Gee links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1979119
2 196959
3 198142
4 198326
5 198624
6 198618
7 197117
8 200416
9 198514
10 19689
11
Geology and exploration history of Precambrian quartz-pebble conglomerates in Western Australia
19875
12 19733

About R. D. Gee

R. D. Gee is a scholar working on Geophysics, Geology, Artificial Intelligence, Atmospheric Science and Paleontology, having authored 12 papers that have together received 352 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (9 papers), earthquake and tectonic studies (6 papers), Geological and Geophysical Studies (4 papers), Geology and Paleoclimatology Research (3 papers), Geochemistry and Geologic Mapping (3 papers), High-pressure geophysics and materials (2 papers), Geological formations and processes (2 papers) and Paleontology and Stratigraphy of Fossils (2 papers). The work is most often cited by research in Geophysics (306 citations), Geology (70 citations), Geochemistry and Petrology (43 citations), Artificial Intelligence (153 citations) and Paleontology (27 citations). R. D. Gee has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Patrick G. Quilty, K.J.R. Rosman, Ian R. Fletcher, Andrew Hynes, David I. Groves, John R. Richards, J.R. De Laeter, Ian Williams, S. Jeffress Williams and A. F. Trendall. Their work appears in journals such as Precambrian Research, Papers and proceedings of the Royal Society of Tasmania, Tectonophysics, Australian Journal of Earth Sciences and Science.

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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