Carol A. Gent

36 total papers · 1.4k total citations
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, J. B. Dalton, Gregg A. Swayze, Keith E. Livo, R. N. Clark, S.J. Sutley, Raymond F. Kokaly, Richard J. Goldfarb, W.J. Pickthorn and R. J. Newberry 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 925 citations

Hit Papers

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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Carol A. Gent 519 390 256 131 115 21 989
Stephen J. Sutley 427 0.8× 333 0.9× 95 0.4× 173 1.3× 139 1.2× 13 1.2k
Susan J. Gaffey 433 0.8× 208 0.5× 100 0.4× 133 1.0× 187 1.6× 10 902
William M. Benzel 266 0.5× 188 0.5× 99 0.4× 88 0.7× 103 0.9× 31 869
Bernard E. Hubbard 356 0.7× 242 0.6× 179 0.7× 150 1.1× 103 0.9× 35 808
Neil Pearson 247 0.5× 222 0.6× 88 0.3× 118 0.9× 183 1.6× 25 903
R. G. Vaughan 363 0.7× 285 0.7× 391 1.5× 288 2.2× 99 0.9× 37 1.1k
Tobias H. Kurz 223 0.4× 190 0.5× 158 0.6× 92 0.7× 126 1.1× 20 978
G. R. Taylor 464 0.9× 112 0.3× 53 0.2× 98 0.7× 339 2.9× 36 1.1k
K. A. Horton 131 0.3× 90 0.2× 179 0.7× 323 2.5× 60 0.5× 40 936
Mark Coolbaugh 312 0.6× 147 0.4× 169 0.7× 48 0.4× 34 0.3× 40 827

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

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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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