Kierran C. Maher

482 total citations
10 papers, 390 citations indexed

About

Kierran C. Maher is a scholar working on Geophysics, Artificial Intelligence and Inorganic Chemistry. According to data from OpenAlex, Kierran C. Maher has authored 10 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Geophysics, 5 papers in Artificial Intelligence and 4 papers in Inorganic Chemistry. Recurrent topics in Kierran C. Maher's work include Geological and Geochemical Analysis (7 papers), Geochemistry and Geologic Mapping (5 papers) and Radioactive element chemistry and processing (4 papers). Kierran C. Maher is often cited by papers focused on Geological and Geochemical Analysis (7 papers), Geochemistry and Geologic Mapping (5 papers) and Radioactive element chemistry and processing (4 papers). Kierran C. Maher collaborates with scholars based in United States, Australia and Canada. Kierran C. Maher's co-authors include Peter B. Larson, Frank C. Ramos, Miguel Gaspar, Zhaoshan Chang, Lawrence D. Meinert, Simon E. Jackson and Bruce W. Mountain and has published in prestigious journals such as Chemical Geology, Economic Geology and Ore Geology Reviews.

In The Last Decade

Kierran C. Maher

9 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kierran C. Maher United States 7 246 232 124 38 37 10 390
Miguel Gaspar Portugal 6 461 1.9× 289 1.2× 198 1.6× 22 0.6× 44 1.2× 11 590
Qinping Tan China 14 390 1.6× 335 1.4× 223 1.8× 39 1.0× 36 1.0× 33 540
Peter K. M. Megaw United States 9 250 1.0× 204 0.9× 87 0.7× 17 0.4× 22 0.6× 22 350
Shaohong Fu China 6 466 1.9× 440 1.9× 222 1.8× 25 0.7× 15 0.4× 7 596
Jiří Zachariáš Czechia 11 272 1.1× 216 0.9× 127 1.0× 32 0.8× 26 0.7× 35 372
Sabina Strmić Palinkaš Croatia 10 271 1.1× 159 0.7× 70 0.6× 24 0.6× 8 0.2× 45 366
Seon–Gyu Choi South Korea 9 268 1.1× 188 0.8× 76 0.6× 15 0.4× 9 0.2× 34 365
C. Vorster South Africa 9 280 1.1× 210 0.9× 90 0.7× 21 0.6× 20 0.5× 24 359
Ladislav Palinkaš Croatia 16 565 2.3× 292 1.3× 122 1.0× 41 1.1× 12 0.3× 61 684
Adrian Fabris Australia 8 260 1.1× 269 1.2× 85 0.7× 37 1.0× 32 0.9× 26 365

Countries citing papers authored by Kierran C. Maher

Since Specialization
Citations

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

Fields of papers citing papers by Kierran C. Maher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kierran C. Maher. 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 Kierran C. Maher. The network helps show where Kierran C. Maher may publish in the future.

Co-authorship network of co-authors of Kierran C. Maher

This figure shows the co-authorship network connecting the top 25 collaborators of Kierran C. Maher. A scholar is included among the top collaborators of Kierran C. Maher 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 Kierran C. Maher. Kierran C. Maher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Maher, Kierran C., et al.. (2020). White Mica Geochemistry: Discriminating Between Barren and Mineralized Porphyry Systems. Economic Geology. 115(2). 325–354. 20 indexed citations
2.
Maher, Kierran C., et al.. (2018). White Mica Geochemistry of the Copper Cliff Porphyry Cu Deposit: Insights from a Vectoring Tool Applied to Exploration. Economic Geology. 113(6). 1269–1295. 36 indexed citations
3.
Maher, Kierran C., et al.. (2018). Phyllic alteration and the implications of fluid composition at the Copper Flat hydrothermal System, New Mexico, USA. Ore Geology Reviews. 104. 273–293. 9 indexed citations
4.
Maher, Kierran C., et al.. (2017). Phyllic Alteration in the Copper Flat Porphyry Copper Deposit, Sierra County, New Mexico [abs.]. SSRN Electronic Journal. 2 indexed citations
5.
Maher, Kierran C., Simon E. Jackson, & Bruce W. Mountain. (2011). Experimental evaluation of the fluid–mineral fractionation of Cu isotopes at 250°C and 300°C. Chemical Geology. 27 indexed citations
6.
Maher, Kierran C.. (2010). Skarn Alteration and Mineralization at Coroccohuayco, Tintaya District, Peru. Economic Geology. 105(2). 263–283. 31 indexed citations
7.
Maher, Kierran C. & Peter B. Larson. (2007). Variation in Copper Isotope Ratios and Controls on Fractionation in Hypogene Skarn Mineralization at Coroccohuayco and Tintaya, Peru. Economic Geology. 102(2). 225–237. 67 indexed citations
8.
Maher, Kierran C. & Peter B. Larson. (2005). Copper isotope fractionation at high temperature: Investigating copper mineralization at Coroccohuayco, Perú. Geochimica et Cosmochimica Acta Supplement. 69(10). 1 indexed citations
9.
Maher, Kierran C.. (2005). Analysis of copper isotope ratios by multi-collector inductively coupled plasma mass spectrometry and interpretation of copper isotope ratios from copper mineralization. Research Exchange (Washington State University). 5 indexed citations
10.
Larson, Peter B., Kierran C. Maher, Frank C. Ramos, et al.. (2003). Copper isotope ratios in magmatic and hydrothermal ore-forming environments. Chemical Geology. 201(3-4). 337–350. 192 indexed citations

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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