Gary P. Curtis

2.1k total citations
34 papers, 1.6k citations indexed

About

Gary P. Curtis is a scholar working on Environmental Engineering, Inorganic Chemistry and Geochemistry and Petrology. According to data from OpenAlex, Gary P. Curtis has authored 34 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Environmental Engineering, 12 papers in Inorganic Chemistry and 6 papers in Geochemistry and Petrology. Recurrent topics in Gary P. Curtis's work include Groundwater flow and contamination studies (22 papers), Radioactive element chemistry and processing (11 papers) and Groundwater and Isotope Geochemistry (5 papers). Gary P. Curtis is often cited by papers focused on Groundwater flow and contamination studies (22 papers), Radioactive element chemistry and processing (11 papers) and Groundwater and Isotope Geochemistry (5 papers). Gary P. Curtis collaborates with scholars based in United States, China and Ireland. Gary P. Curtis's co-authors include James Davis, Matthias Köhler, Martin Reinhard, Douglas B. Kent, Paul V. Roberts, David L. Naftz, Ming Ye, Aria Amirbahman, Dan Lu and Patricia Fox and has published in prestigious journals such as Environmental Science & Technology, Geochimica et Cosmochimica Acta and Water Resources Research.

In The Last Decade

Gary P. Curtis

29 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gary P. Curtis United States 19 785 623 326 294 236 34 1.6k
Steven B. Yabusaki United States 24 1.2k 1.6× 638 1.0× 426 1.3× 462 1.6× 366 1.6× 55 2.3k
Martin A. Glaus Switzerland 27 710 0.9× 693 1.1× 278 0.9× 149 0.5× 176 0.7× 67 2.1k
Christopher F. Brown United States 22 875 1.1× 375 0.6× 206 0.6× 277 0.9× 158 0.7× 59 1.6k
Sung Pil Hyun South Korea 21 196 0.2× 392 0.6× 245 0.8× 383 1.3× 113 0.5× 43 1.1k
Robert Artinger Germany 18 209 0.3× 517 0.8× 296 0.9× 107 0.4× 260 1.1× 22 978
Stan J. Morrison United States 15 269 0.3× 421 0.7× 172 0.5× 256 0.9× 122 0.5× 22 939
J.C.L. Meeussen Netherlands 30 794 1.0× 451 0.7× 499 1.5× 747 2.5× 86 0.4× 66 3.6k
G. D. Redden United States 17 585 0.7× 411 0.7× 163 0.5× 297 1.0× 135 0.6× 35 1.5k
Paul W. Reimus United States 21 744 0.9× 442 0.7× 234 0.7× 107 0.4× 130 0.6× 63 1.3k
Klaus J. Stetzenbach United States 20 431 0.5× 369 0.6× 1.5k 4.5× 209 0.7× 90 0.4× 34 2.0k

Countries citing papers authored by Gary P. Curtis

Since Specialization
Citations

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

Fields of papers citing papers by Gary P. Curtis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary P. Curtis. 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 Gary P. Curtis. The network helps show where Gary P. Curtis may publish in the future.

Co-authorship network of co-authors of Gary P. Curtis

This figure shows the co-authorship network connecting the top 25 collaborators of Gary P. Curtis. A scholar is included among the top collaborators of Gary P. Curtis 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 Gary P. Curtis. Gary P. Curtis 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.
Tiedeman, Claire R., Allen M. Shapiro, Paul A. Hsieh, et al.. (2017). Bioremediation in Fractured Rock: 1. Modeling to Inform Design, Monitoring, and Expectations. Ground Water. 56(2). 300–316. 15 indexed citations
2.
Shapiro, Allen M., Claire R. Tiedeman, Thomas E. Imbrigiotta, et al.. (2017). Bioremediation in Fractured Rock: 2. Mobilization of Chloroethene Compounds from the Rock Matrix. Ground Water. 56(2). 317–336. 14 indexed citations
3.
Neupauer, R. M., et al.. (2017). Engineered Injection and Extraction for Remediation of Uranium-Contaminated Groundwater. 47. 111–118. 2 indexed citations
4.
Borden, Robert C., et al.. (2015). Extent and Persistence of Secondary Water Quality Impacts after Enhanced Reductive Bioremediation. CTIT technical reports series. 1 indexed citations
5.
Lu, Dan, Ming Ye, & Gary P. Curtis. (2015). Maximum likelihood Bayesian model averaging and its predictive analysis for groundwater reactive transport models. Journal of Hydrology. 529. 1859–1873. 23 indexed citations
6.
Lu, Dan, Ming Ye, Philip D. Meyer, et al.. (2013). Effects of error covariance structure on estimation of model averaging weights and predictive performance. Water Resources Research. 49(9). 6029–6047. 42 indexed citations
7.
Shi, Xiaoling, et al.. (2011). Assessment of Parametric Uncertainty in Groundwater Reactive Transport Modeling Using Markov Chain Monte Carlo Techniques. AGUFM. 2011.
8.
Lu, Dan, et al.. (2010). Assessment of Parametric Uncertainty using Markov Chain Monte Carlo Methods for Surface Complexation Models in Groundwater Reactive Transport Modeling. AGU Fall Meeting Abstracts. 2010.
9.
Lu, Detang, et al.. (2010). Effect of Temporal Residual Correlation on Estimation of Model Averaging Weights. AGUFM. 2010.
10.
Curtis, Gary P., Matthias Köhler, & James Davis. (2009). Comparing Approaches for Simulating the Reactive Transport of U(VI) in Ground Water. Mine Water and the Environment. 28(2). 84–93. 9 indexed citations
11.
Tiedeman, Claire R., Daniel J. Goode, Allen M. Shapiro, et al.. (2008). Multidisciplinary investigation of the fate, transport, and remediation of chlorinated solvents in fractured rocks at the former Naval Air Warfare Center (NAWC): Scientific and management challenges, and strategies for a successful research program. AGUFM. 2008. 2 indexed citations
12.
Kent, Douglas B., et al.. (2008). Influence of variable chemical conditions on EDTA-enhanced transport of metal ions in mildly acidic groundwater. Environmental Pollution. 153(1). 44–52. 16 indexed citations
13.
Curtis, Gary P., James Davis, & David L. Naftz. (2006). Simulation of reactive transport of uranium(VI) in groundwater with variable chemical conditions. Water Resources Research. 42(4). 89 indexed citations
14.
Davis, James, Gary P. Curtis, Michael J. Wilkins, et al.. (2006). Processes affecting transport of uranium in a suboxic aquifer. Physics and Chemistry of the Earth Parts A/B/C. 31(10-14). 548–555. 32 indexed citations
15.
16.
Davis, James, et al.. (2004). Approaches to surface complexation modeling of Uranium(VI) adsorption on aquifer sediments. Geochimica et Cosmochimica Acta. 68(18). 3621–3641. 280 indexed citations
17.
Köhler, Matthias, et al.. (2003). Methods for Estimating Adsorbed Uranium(VI) and Distribution Coefficients of Contaminated Sediments. Environmental Science & Technology. 38(1). 240–247. 107 indexed citations
18.
19.
Curtis, Gary P. & Martin Reinhard. (1994). Reductive Dehalogenation of Hexachloroethane, Carbon Tetrachloride, and Bromoform by Anthrahydroquinone Disulfonate and Humic Acid. Environmental Science & Technology. 28(13). 2393–2401. 183 indexed citations
20.
Curtis, Gary P., et al.. (1991). To Work or Not to Work: That Is the Question. Journal of Student Financial Aid. 21(3). 5 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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