Carma A. San Juan

657 total citations
17 papers, 436 citations indexed

About

Carma A. San Juan is a scholar working on Geochemistry and Petrology, Artificial Intelligence and Water Science and Technology. According to data from OpenAlex, Carma A. San Juan has authored 17 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Geochemistry and Petrology, 5 papers in Artificial Intelligence and 5 papers in Water Science and Technology. Recurrent topics in Carma A. San Juan's work include Geochemistry and Geologic Mapping (5 papers), Groundwater flow and contamination studies (4 papers) and Geological and Geochemical Analysis (3 papers). Carma A. San Juan is often cited by papers focused on Geochemistry and Geologic Mapping (5 papers), Groundwater flow and contamination studies (4 papers) and Geological and Geochemical Analysis (3 papers). Carma A. San Juan collaborates with scholars based in United States, Australia and Canada. Carma A. San Juan's co-authors include John D. Horton, Douglas B. Stoeser, Travis S. Schmidt, Richard B. Wanty, S.E. Church, William H. Clements, Philip L. Verplanck, D.L. Fey, Ed DeWitt and Paul J. Lamothe and has published in prestigious journals such as Environmental Science & Technology, Ecological Applications and Environmental Toxicology and Chemistry.

In The Last Decade

Carma A. San Juan

15 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carma A. San Juan United States 9 118 116 106 79 79 17 436
Jong-Ho Won South Korea 10 99 0.8× 88 0.8× 105 1.0× 168 2.1× 138 1.7× 13 491
Saâdi Abdeljaouad Tunisia 14 85 0.7× 53 0.5× 265 2.5× 63 0.8× 61 0.8× 41 664
Syed Hilal Farooq India 14 92 0.8× 134 1.2× 161 1.5× 244 3.1× 137 1.7× 35 586
Jorge Espinha Marques Portugal 17 61 0.5× 143 1.2× 77 0.7× 255 3.2× 237 3.0× 60 667
Harish Gupta India 13 67 0.6× 289 2.5× 162 1.5× 124 1.6× 114 1.4× 20 726
Jitka Elznicová Czechia 14 84 0.7× 65 0.6× 289 2.7× 87 1.1× 47 0.6× 34 515
Kouping Chen China 8 50 0.4× 216 1.9× 187 1.8× 223 2.8× 149 1.9× 17 505
Jianmin Bian China 12 72 0.6× 195 1.7× 84 0.8× 212 2.7× 178 2.3× 27 498
Md Hafijur Rahaman Khan China 9 109 0.9× 43 0.4× 64 0.6× 48 0.6× 37 0.5× 22 363
Jennifer T. McGuire United States 16 57 0.5× 97 0.8× 130 1.2× 127 1.6× 267 3.4× 23 598

Countries citing papers authored by Carma A. San Juan

Since Specialization
Citations

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

Fields of papers citing papers by Carma A. San Juan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carma A. San Juan. 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 Carma A. San Juan. The network helps show where Carma A. San Juan may publish in the future.

Co-authorship network of co-authors of Carma A. San Juan

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

All Works

17 of 17 papers shown
1.
Mauk, Jeffrey L., et al.. (2025). The abandoned mine inventory of the United States—A brief summary. Fact sheet.
2.
Mauk, Jeffrey L., et al.. (2021). The Critical Minerals Initiative of the US Geological Survey’s Mineral Deposit Database Project: USMIN. Mining Metallurgy & Exploration. 38(2). 775–797. 8 indexed citations
3.
Lawley, C J M, Anne E. McCafferty, David L. Huston, et al.. (2021). Data–driven prospectivity modelling of sediment–hosted Zn–Pb mineral systems and their critical raw materials. Ore Geology Reviews. 141. 104635–104635. 39 indexed citations
4.
Mauk, Jeffrey L., et al.. (2020). Pyrrhotite distribution in the conterminous United States, 2020. Fact sheet. 5 indexed citations
5.
Horton, John D., Carma A. San Juan, & Douglas B. Stoeser. (2017). The State Geologic Map Compilation (SGMC) geodatabase of the conterminous United States. Data series. 106 indexed citations
6.
Plumlee, Geoffrey S., Charles N. Alpers, Suzette A. Morman, & Carma A. San Juan. (2015). Anticipating Environmental and Environmental-Health Implications of Extreme Storms: ARkStorm Scenario. Natural Hazards Review. 17(4). 2 indexed citations
7.
Lund, Karen, Stephen E. Box, Christopher S. Holm‐Denoma, et al.. (2015). Basement domain map of the conterminous United States and Alaska. Data series. 23 indexed citations
8.
Bray, Edward A. du, Christopher S. Holm‐Denoma, Carma A. San Juan, et al.. (2015). Geochemical, modal, and geochronologic data for 1.4 Ga A-type granitoid intrusions of the conterminous United States. Data series. 5 indexed citations
9.
Plumlee, Geoffrey S., Suzette A. Morman, & Carma A. San Juan. (2013). Potential Environmental and Environmental-Health Implications of the SAFRR Tsunami Scenario in California: Chapter F in <i>The SAFRR (Science Application for Risk Reduction) Tsunami Scenario</i>. Antarctica A Keystone in a Changing World. 1 indexed citations
10.
Schmidt, Travis S., William H. Clements, Richard B. Wanty, et al.. (2012). Geologic processes influence the effects of mining on aquatic ecosystems. Ecological Applications. 22(3). 870–879. 39 indexed citations
11.
Church, Stan E., Carma A. San Juan, D.L. Fey, et al.. (2012). Geospatial database for regional environmental assessment of central Colorado.. Data series. i–76. 5 indexed citations
12.
Schmidt, Travis S., William H. Clements, Robert E. Zuellig, et al.. (2011). Critical Tissue Residue Approach Linking Accumulated Metals in Aquatic Insects to Population and Community-Level Effects. Environmental Science & Technology. 45(16). 7004–7010. 47 indexed citations
13.
Sweetkind, Donald S., Carma A. San Juan, Randell J. Laczniak, et al.. (2010). Death Valley regional groundwater flow system, Nevada and California: Hydrogeologic framework and transient groundwater flow model. USGS professional paper. 41 indexed citations
14.
Schmidt, Travis S., William H. Clements, S.E. Church, et al.. (2010). Development of a new toxic-unit model for the bioassessment of metals in streams. Environmental Toxicology and Chemistry. 29(11). 2432–2442. 64 indexed citations
15.
Wanty, Richard B., Philip L. Verplanck, Carma A. San Juan, et al.. (2008). Geochemistry of surface water in alpine catchments in central Colorado, USA: Resolving host-rock effects at different spatial scales. Applied Geochemistry. 24(4). 600–610. 33 indexed citations
16.
Faunt, Claudia C., et al.. (2006). Ground-water modeling of the Death Valley Region, Nevada and California. Fact sheet. 1 indexed citations
17.
Juan, Carma A. San, et al.. (1996). Conceptualization, characterization and numerical modeling of the Jackson Hole alluvial aquifer using ARC/INFO and MODFLOW. Engineering Geology. 42(2-3). 119–137. 17 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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