Stephen J. Sutley

1.6k citations
13 papers · 1.2k indexed · 1 hit paper · h-index 8

Stephen J. Sutley

13 papers receiving 1.1k citations

Hit Papers

USGS Digital Spectral Library splib06a6762007202620132019200400600

Peers

Stephen J. Sutley
Comparison fields: 5 of 87
  • Media Technology 333
  • Geochemistry and Petrology 142
  • Artificial Intelligence 428
  • Environmental Engineering 164
  • Astronomy and Astrophysics 181
Replace William M. Benzel with:
William M. Benzel United States
S.J. Sutley United States
Carol A. Gent United States
Roger P. Ashley United States
Rhonda L. Driscoll United States
Dana M. D'Aria United States
Thomas Cudahy Australia
Norma Vergo United States
Hakim Saibi United Arab Emirates
Gerd Rantitsch Austria
Stephen J. Sutley relative to William M. Benzel United States William M. Benzel's profile →
Citations per field
00.5×4.6×
William M. Benzel · 1×
Citations per year

Countries citing papers authored by Stephen J. Sutley

Since Specialization
Citations

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

Fields of papers citing papers by Stephen J. Sutley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Stephen J. Sutley, 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 Stephen J. Sutley Line = papers co-authored together Stephen J. Sutley links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2008159
2
USGS Digital Spectral Library splib06abreakdown →
2007676
3 20072
4 20057
5 200440
6 200417
7 20045
8 20038
9 19994
10 1999211
11
Mccrillisite, NaCs(Be,Li)Zr 2 (PO 4 ) 4 .1-2H 2 O, a new mineral species from Mount Mica, Oxford County, Maine, and new data for gainesite
199413
12
Kosnarite, KZr2(PO4)3, a new mineral from Mount Mica and Black Mountain, Oxford County, Maine
199361
13 19854

About Stephen J. Sutley

Stephen J. Sutley is a scholar working on Geochemistry and Petrology, Geophysics and Environmental Chemistry, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (6 papers), Geological and Geochemical Analysis (4 papers), Clay minerals and soil interactions (3 papers), Crystal Structures and Properties (3 papers), Heavy metals in environment (2 papers), Mine drainage and remediation techniques (2 papers), Remote-Sensing Image Classification (1 paper) and Coal and Its By-products (1 paper). The work is most often cited by research in Media Technology (333 citations), Geochemistry and Petrology (142 citations) and Artificial Intelligence (428 citations). Stephen J. Sutley has collaborated with scholars based in United States. Frequent co-authors include Gregg A. Swayze, R. N. Clark, Raymond F. Kokaly, Richard Wise, Todd M. Hoefen, Keith E. Livo, James W. Ball, John A. Izbicki, Thomas D. Bullen and Allen L. Meier. Their work appears in journals such as Environmental Science & Technology, American Mineralogist and Economic Geology.

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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