Carol A. Gent

1.4k total citations · 1 hit paper
21 papers, 989 citations indexed

About

Carol A. Gent is a scholar working on Artificial Intelligence, Geophysics and Water Science and Technology. According to data from OpenAlex, Carol A. Gent has authored 21 papers receiving a total of 989 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Geophysics and 4 papers in Water Science and Technology. Recurrent topics in Carol A. Gent's work include Geochemistry and Geologic Mapping (10 papers), Geological and Geochemical Analysis (7 papers) and Geological Formations and Processes Exploration (3 papers). Carol A. Gent is often cited by papers focused on Geochemistry and Geologic Mapping (10 papers), Geological and Geochemical Analysis (7 papers) and Geological Formations and Processes Exploration (3 papers). Carol A. Gent collaborates with scholars based in United States and United Kingdom. Carol A. Gent's co-authors include Robert R. McDougal, Gregg A. Swayze, S.J. Sutley, J. B. Dalton, Raymond F. Kokaly, R. N. Clark, Keith E. Livo, Richard J. Goldfarb, R. J. Newberry and W.J. Pickthorn and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Analytica Chimica Acta and Economic Geology.

In The Last Decade

Carol A. Gent

19 papers receiving 923 citations

Hit Papers

Imaging spectroscopy: Ear... 2003 2026 2010 2018 2003 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Carol A. Gent United States 8 519 389 256 130 115 21 989
S.J. Sutley United States 10 618 1.2× 669 1.7× 132 0.5× 197 1.5× 166 1.4× 41 1.4k
J.F. Huntington Australia 18 1.1k 2.1× 1.1k 2.8× 326 1.3× 256 2.0× 185 1.6× 38 1.7k
Ícaro Vitorello Brazil 21 440 0.8× 113 0.3× 820 3.2× 91 0.7× 143 1.2× 87 1.4k
Neil Pearson United States 9 249 0.5× 222 0.6× 90 0.4× 121 0.9× 183 1.6× 25 915
John C. Mars United States 11 1.4k 2.8× 1.2k 3.0× 305 1.2× 80 0.6× 73 0.6× 17 1.6k
R.O. Green United States 4 208 0.4× 461 1.2× 50 0.2× 415 3.2× 681 5.9× 6 1.5k
Elsa Abbott United States 12 187 0.4× 169 0.4× 146 0.6× 449 3.5× 122 1.1× 19 1.1k
Yunzhao Wu China 17 371 0.7× 131 0.3× 45 0.2× 107 0.8× 234 2.0× 60 1.1k
Brian Minty Australia 15 318 0.6× 32 0.1× 240 0.9× 23 0.2× 25 0.2× 42 698
Michael A. Abrams United States 14 138 0.3× 22 0.1× 147 0.6× 90 0.7× 26 0.2× 30 932

Countries citing papers authored by Carol A. Gent

Since Specialization
Citations

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

Fields of papers citing papers by Carol A. Gent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carol A. Gent. 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 Carol A. Gent. The network helps show where Carol A. Gent may publish in the future.

Co-authorship network of co-authors of Carol A. Gent

This figure shows the co-authorship network connecting the top 25 collaborators of Carol A. Gent. A scholar is included among the top collaborators of Carol A. Gent based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carol A. Gent. Carol A. Gent is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gent, Carol A.. (2012). Understanding motor neurone disease. Nursing and Residential Care. 14(12). 646–649. 1 indexed citations
2.
Rockwell, Barnaby W., Robert R. McDougal, & Carol A. Gent. (2005). Remote sensing for environmental site screening and watershed evaluation in Utah Mine lands: East Tintic mountains, Oquirrh mountains, and Tushar mountains. Scientific investigations report. 8 indexed citations
3.
Gosen, Bradley S. Van, Heather Lowers, Stephen J. Sutley, & Carol A. Gent. (2004). Using the geologic setting of talc deposits as an indicator of amphibole asbestos content. Environmental Geology. 45(7). 920–939. 40 indexed citations
4.
Clark, R. N., Gregg A. Swayze, Keith E. Livo, et al.. (2003). Imaging spectroscopy: Earth and planetary remote sensing with the USGS Tetracorder and expert systems. Journal of Geophysical Research Atmospheres. 108(E12). 631 indexed citations breakdown →
5.
Gray, John Edward, Carol A. Gent, & Lawrence W. Snee. (2000). The southwestern alaska mercury belt and its relationship to the circum-pacific metallogenic mercury province. 68. 187–196. 7 indexed citations
6.
Viets, J.G., et al.. (1996). Paragenetic and minor- and trace-element studies of Mississippi Valley-type ore deposits of the Silesian-Cracow district, Poland. 154. 36–71. 18 indexed citations
7.
Leach, D. L., et al.. (1996). Sulfur isotope geochemistry of ore and gangue minerals from the Silesian-Cracow Mississippi Valley-type ore district, Poland. 154. 121–137. 2 indexed citations
8.
Church, S.E., et al.. (1996). Lead-isotopic, sulphur-isotopic, and trace-element studies of galena from the Silesian-Cracow Zn-Pb ores, polymetallic veins from the Gory Swietokrzyskie MTS, and the Myszkow porphyry copper deposit, Poland. 154. 138–156. 4 indexed citations
10.
Goldfarb, Richard J., et al.. (1995). Structural geology, age, and mechanisms of gold vein formation at the Kensington and Jualin deposits, Berners Bay District, Southeast Alaska. Economic Geology. 90(2). 343–368. 15 indexed citations
11.
Goldfarb, Richard J., R. J. Newberry, W.J. Pickthorn, & Carol A. Gent. (1991). Oxygen, hydrogen, and sulfur isotope studies in the Juneau gold belt, southeastern Alaska; constraints on the origin of hydrothermal fluids. Economic Geology. 86(1). 66–80. 133 indexed citations
12.
Wilson, Stephen A., et al.. (1990). Analysis of soil samples from the San Joaquin Valley of California. Antarctica A Keystone in a Changing World. 1 indexed citations
13.
Briggs, Paul H., et al.. (1989). Analysis of 721 soil samples from the Panoche Fan area of the San Joaquin Valley, California. Antarctica A Keystone in a Changing World. 1 indexed citations
15.
Severson, R.C., et al.. (1986). Element associations in soils of the San Joaquin Valley, California. Antarctica A Keystone in a Changing World. 5 indexed citations
16.
Gent, Carol A. & Stephen A. Wilson. (1985). The Determination of Sulfur and Chlorine in Coals and Oil Shales Using Ion Chromatography. Analytical Letters. 18(6). 729–740. 13 indexed citations
17.
Carlson, Carl, Stephen A. Wilson, Robert R. Carlson, et al.. (1985). Analyses for platinum group elements in samples from podiform chromite deposits, California and Oregon. Antarctica A Keystone in a Changing World. 1 indexed citations
18.
Wilson, Stephen A. & Carol A. Gent. (1983). Determination of chloride in geological samples by ion chromatography. Analytica Chimica Acta. 148. 299–303. 6 indexed citations
19.
Wilson, Stephen A. & Carol A. Gent. (1982). The Determination of Fluoride in Geologic Samples by Ion Chromatography. Analytical Letters. 15(10). 851–864. 7 indexed citations
20.
Gent, Carol A.. (1977). Preparation of pyrite-coated sand grains for research on roll-type uranium deposits. Journal research U. S. geological survey. 5(5). 595–596.

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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