Paul E. Stackelberg

4.1k total citations · 3 hit papers
43 papers, 3.1k citations indexed

About

Paul E. Stackelberg is a scholar working on Water Science and Technology, Environmental Engineering and Geochemistry and Petrology. According to data from OpenAlex, Paul E. Stackelberg has authored 43 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Water Science and Technology, 23 papers in Environmental Engineering and 19 papers in Geochemistry and Petrology. Recurrent topics in Paul E. Stackelberg's work include Groundwater flow and contamination studies (20 papers), Groundwater and Isotope Geochemistry (19 papers) and Water Quality and Resources Studies (18 papers). Paul E. Stackelberg is often cited by papers focused on Groundwater flow and contamination studies (20 papers), Groundwater and Isotope Geochemistry (19 papers) and Water Quality and Resources Studies (18 papers). Paul E. Stackelberg collaborates with scholars based in United States and Switzerland. Paul E. Stackelberg's co-authors include Edward T. Furlong, Steven D. Zaugg, Michael T. Meyer, Alden Henderson, Dori B. Reissman, R. Lee Lippincott, Jacob Gibs, Kenneth Belitz, David A. Eckhardt and Katherine M. Ransom and has published in prestigious journals such as Science, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Paul E. Stackelberg

42 papers receiving 2.8k citations

Hit Papers

Persistence of pharmaceutical compounds and other organic... 2004 2026 2011 2018 2004 2007 2024 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul E. Stackelberg United States 21 1.5k 1.0k 979 556 488 43 3.1k
Tobias Licha Germany 35 1.9k 1.3× 1.1k 1.0× 699 0.7× 805 1.4× 541 1.1× 118 3.8k
Nicole Baran France 26 1.6k 1.1× 742 0.7× 614 0.6× 392 0.7× 374 0.8× 55 2.8k
Yu Yang United States 41 1.4k 1.0× 1.4k 1.3× 558 0.6× 388 0.7× 399 0.8× 95 4.2k
A. K. Haritash India 24 2.3k 1.6× 1.5k 1.5× 816 0.8× 532 1.0× 408 0.8× 75 4.4k
Fengxiang X. Han United States 38 1.5k 1.0× 865 0.8× 410 0.4× 247 0.4× 311 0.6× 153 4.5k
Yuesuo Yang China 31 1.2k 0.8× 625 0.6× 841 0.9× 544 1.0× 385 0.8× 115 3.7k
Karsten Nödler Germany 34 1.6k 1.1× 1.4k 1.4× 456 0.5× 324 0.6× 286 0.6× 59 3.0k
Chih‐Ming Kao Taiwan 35 1.7k 1.2× 986 1.0× 1.2k 1.2× 530 1.0× 205 0.4× 137 3.8k
C. K. Jain India 27 1.6k 1.1× 778 0.8× 2.1k 2.2× 358 0.6× 601 1.2× 48 4.2k

Countries citing papers authored by Paul E. Stackelberg

Since Specialization
Citations

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

Fields of papers citing papers by Paul E. Stackelberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul E. Stackelberg. 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 Paul E. Stackelberg. The network helps show where Paul E. Stackelberg may publish in the future.

Co-authorship network of co-authors of Paul E. Stackelberg

This figure shows the co-authorship network connecting the top 25 collaborators of Paul E. Stackelberg. A scholar is included among the top collaborators of Paul E. Stackelberg 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 Paul E. Stackelberg. Paul E. Stackelberg 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.
Lucas, Lisa V., Craig J. Brown, Dale M. Robertson, et al.. (2025). Gaps in Water Quality Modeling of Hydrologic Systems. Water. 17(8). 1200–1200. 4 indexed citations
2.
McCleskey, R. Blaine, Charles A. Cravotta, Matthew P. Miller, et al.. (2023). Salinity and total dissolved solids measurements for natural waters: An overview and a new salinity method based on specific conductance and water type. Applied Geochemistry. 154. 105684–105684. 29 indexed citations
3.
Belitz, Kenneth, Miranda S. Fram, Bruce D. Lindsey, et al.. (2022). Quality of Groundwater Used for Public Supply in the Continental United States: A Comprehensive Assessment. ACS ES&T Water. 2(12). 2645–2656. 20 indexed citations
4.
Belitz, Kenneth & Paul E. Stackelberg. (2021). Evaluation of six methods for correcting bias in estimates from ensemble tree machine learning regression models. Environmental Modelling & Software. 139. 105006–105006. 68 indexed citations
5.
Erickson, Melinda L., Sarah Elliott, Craig J. Brown, et al.. (2021). Machine Learning Predicted Redox Conditions in the Glacial Aquifer System, Northern Continental United States. Water Resources Research. 57(4). 29 indexed citations
6.
Degnan, James R., Leon J. Kauffman, Melinda L. Erickson, Kenneth Belitz, & Paul E. Stackelberg. (2021). Depth of groundwater used for drinking-water supplies in the United States. Scientific investigations report. 8 indexed citations
7.
Szabó, Zoltán, Paul E. Stackelberg, & Charles A. Cravotta. (2020). Occurrence and Geochemistry of Lead-210 and Polonium-210 Radionuclides in Public-Drinking-Water Supplies from Principal Aquifers of the United States. Environmental Science & Technology. 54(12). 7236–7249. 24 indexed citations
8.
Stackelberg, Paul E., Kenneth Belitz, Craig J. Brown, et al.. (2020). Machine Learning Predictions of pH in the Glacial Aquifer System, Northern USA. Ground Water. 59(3). 352–368. 32 indexed citations
11.
Stackelberg, Paul E.. (2017). Groundwater quality in the Cambrian-Ordovician aquifer system, midwestern United States. Fact sheet. 3 indexed citations
12.
Stackelberg, Paul E., Zoltán Szabó, & Bryant C. Jurgens. (2017). Radium mobility and the age of groundwater in public-drinking-water supplies from the Cambrian-Ordovician aquifer system, north-central USA. Applied Geochemistry. 89. 34–48. 41 indexed citations
14.
Stackelberg, Paul E.. (2017). Groundwater quality in the glacial aquifer system, United States. Fact sheet. 5 indexed citations
15.
Gilliom, Robert J., Jack E. Barbash, Pixie A. Hamilton, et al.. (2007). Pesticides in streams and ground water of the United States.. 731–742. 3 indexed citations
16.
Stackelberg, Paul E., Robert J. Gilliom, David M. Wolock, & Kerie J. Hitt. (2006). Development and application of a regression equation for estimating the occurrence of atrazine in shallow ground water beneath agricultural areas of the United States. Scientific investigations report. 8 indexed citations
17.
Gilliom, Robert J., Jack E. Barbash, Charles G. Crawford, et al.. (2006). Pesticides in the Nation's Streams and Ground Water, 1992–2001. U.S. Geological Survey circular. 265 indexed citations
18.
Toccalino, Patricia L., Julia E. Norman, Leon J. Kauffman, et al.. (2004). Application of health-based screening levels to ground-water quality data in a state-scale pilot effort. Scientific investigations report. 45 indexed citations
19.
Stackelberg, Paul E., et al.. (2001). Water quality data for selected wells in the Coastal Plain of New Jersey, 1996-98. Antarctica A Keystone in a Changing World. 1 indexed citations
20.
Stackelberg, Paul E.. (1996). Presence and distribution of chlorinated organic compounds in streambed sediments, New Jersey. Fact sheet. 1 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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