Don Schissel

452 citations
6 papers · 340 · h-index 5

Impact in

  • Geophysics top 5%
    • Geological and Geochemical Analysis
    • High-pressure geophysics and materials
    • earthquake and tectonic studies
    • Geochemistry and Elemental Analysis

Papers in

    • Geological and Geochemical Analysis 5
    • High-pressure geophysics and materials 2
    • earthquake and tectonic studies 2
    • Paleontology and Stratigraphy of Fossils 2

Don Schissel

6 papers receiving 308 citations

Peers

Don Schissel
Comparison fields: 5 of 39
  • Geophysics 310
  • Geochemistry and Petrology 76
  • Artificial Intelligence 207
  • Paleontology 25
  • Geology 13
Replace Mahrous M. Abu El-Enen with:
Mahrous M. Abu El-Enen Egypt
T.-L. Knudsen Norway
Phillips C. Thurston Canada
S. E. Dowling Australia
Jayanta Kumar Nanda India
Khalid J. Aswad Iraq
J. Dostal Canada
Charles W. Carrigan United States
Hee Sagong South Korea
M.R. Laflèche Canada
Don Schissel relative to Mahrous M. Abu El-Enen Egypt Mahrous M. Abu El-Enen's profile →
Citations per field
00.5×1.7×
Mahrous M. Abu El-Enen · 1×
Citations per year

Countries citing papers authored by Don Schissel

Since Specialization
Citations

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

Fields of papers citing papers by Don Schissel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Don Schissel, 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 Don Schissel Line = papers co-authored together Don Schissel links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2001102
2 198298
3 200694
4 199226
5 200618
6
Genesis of the Giant Serra Verde Ion Adsorption REE Deposit, Brazil
20192

About Don Schissel

Don Schissel is a scholar working on Geophysics, Paleontology, Artificial Intelligence, Geochemistry and Petrology and Economics and Econometrics, having authored 6 papers that have together received 340 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (5 papers), Geochemistry and Geologic Mapping (2 papers), High-pressure geophysics and materials (2 papers), earthquake and tectonic studies (2 papers), Paleontology and Stratigraphy of Fossils (2 papers), Geochemistry and Elemental Analysis (1 paper) and Geochemistry and Geochronology of Asian Mineral Deposits (1 paper). The work is most often cited by research in Geophysics (310 citations), Geochemistry and Petrology (76 citations), Artificial Intelligence (207 citations), Paleontology (25 citations) and Geology (13 citations). Don Schissel has collaborated with scholars based in Australia, France and United States. Frequent co-authors include Sten‐Åke Elming, Richard E. Ernst, Ulf Söderlund, David W. Keith, Τ. N. Irvine, Daniel T. Cox, Nicholas Arndt, Michel Dubois, A. M. Boullier and Jamie J. Wilkinson. Their work appears in journals such as Economic Geology, Precambrian Research, HAL (Le Centre pour la Communication Scientifique Directe) and EGU General Assembly Conference Abstracts.

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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