Kurt Wolfe

551 total citations
31 papers, 375 citations indexed

About

Kurt Wolfe is a scholar working on Water Science and Technology, Environmental Engineering and Environmental Chemistry. According to data from OpenAlex, Kurt Wolfe has authored 31 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Water Science and Technology, 10 papers in Environmental Engineering and 8 papers in Environmental Chemistry. Recurrent topics in Kurt Wolfe's work include Hydrology and Watershed Management Studies (14 papers), Hydrological Forecasting Using AI (5 papers) and Flood Risk Assessment and Management (5 papers). Kurt Wolfe is often cited by papers focused on Hydrology and Watershed Management Studies (14 papers), Hydrological Forecasting Using AI (5 papers) and Flood Risk Assessment and Management (5 papers). Kurt Wolfe collaborates with scholars based in United States, Ireland and Australia. Kurt Wolfe's co-authors include Rajbir Parmar, Christopher D. Knightes, John M. Johnston, Mike Cyterski, Michael Galvin, Justin Babendreier, Erin Urquhart, M. Craig Barber, Blake A. Schaeffer and S. Thomas Purucker and has published in prestigious journals such as The Science of The Total Environment, Chemosphere and Journal of Environmental Quality.

In The Last Decade

Kurt Wolfe

29 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kurt Wolfe United States 11 186 113 90 81 44 31 375
Niina Kotamäki Finland 12 157 0.8× 108 1.0× 52 0.6× 158 2.0× 69 1.6× 25 527
Geoffrey Chavula Malawi 12 108 0.6× 102 0.9× 59 0.7× 46 0.6× 56 1.3× 21 381
Elham M. Ali Egypt 11 72 0.4× 76 0.7× 56 0.6× 50 0.6× 77 1.8× 29 360
Lingling Li China 13 86 0.5× 207 1.8× 112 1.2× 88 1.1× 59 1.3× 36 417
Hu Li China 9 91 0.5× 65 0.6× 43 0.5× 101 1.2× 32 0.7× 26 400
Ligang Ma China 12 186 1.0× 151 1.3× 179 2.0× 35 0.4× 16 0.4× 22 488
Angéla Anda Hungary 12 129 0.7× 149 1.3× 68 0.8× 35 0.4× 15 0.3× 31 392
Sameh B. El‐Kafrawy Egypt 10 81 0.4× 56 0.5× 61 0.7× 23 0.3× 29 0.7× 28 316
Sanghyun Park South Korea 14 198 1.1× 90 0.8× 117 1.3× 89 1.1× 109 2.5× 28 439

Countries citing papers authored by Kurt Wolfe

Since Specialization
Citations

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

Fields of papers citing papers by Kurt Wolfe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kurt Wolfe. 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 Kurt Wolfe. The network helps show where Kurt Wolfe may publish in the future.

Co-authorship network of co-authors of Kurt Wolfe

This figure shows the co-authorship network connecting the top 25 collaborators of Kurt Wolfe. A scholar is included among the top collaborators of Kurt Wolfe 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 Kurt Wolfe. Kurt Wolfe 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.
Srinivasan, Raghavan, et al.. (2025). Enhancing prediction and inference of daily in-stream nutrient and sediment concentrations using an extreme gradient boosting based water quality estimation tool - XGBest. The Science of The Total Environment. 963. 178517–178517. 1 indexed citations
2.
Srinivasan, Raghavan, et al.. (2025). Enhancing hydrological modeling of ungauged watersheds through machine learning and physical similarity-based regionalization of calibration parameters. Environmental Modelling & Software. 186. 106335–106335. 1 indexed citations
3.
Clough, Jonathan, et al.. (2025). Modeling water quality in a subalpine lake. Ecological Modelling. 507. 111172–111172.
4.
Srinivasan, Raghavan, et al.. (2024). Calibration using R-programming and parallel processing at the HUC12 subbasin scale in the Mid-Atlantic region: Development of national SWAT hydrologic calibration. Environmental Modelling & Software. 176. 106019–106019. 3 indexed citations
5.
Wolfe, Kurt, et al.. (2022). Catchment scale runoff time-series generation and validation using statistical models for the Continental United States. Environmental Modelling & Software. 149. 105321–105321. 3 indexed citations
6.
Purucker, S. Thomas, et al.. (2022). Satellite-derived cyanobacteria frequency and magnitude in headwaters & near-dam reservoir surface waters of the Southern U.S.. The Science of The Total Environment. 822. 153568–153568. 7 indexed citations
7.
8.
Cyterski, Mike, et al.. (2020). PiSCES: Pi(scine) stream community estimation system. Environmental Modelling & Software. 127. 104703–104703. 4 indexed citations
9.
Parmar, Rajbir, et al.. (2019). Demonstration of an online web services tool incorporating automatic retrieval and comparison of precipitation data. Environmental Modelling & Software. 123. 104570–104570. 7 indexed citations
10.
DeGrandi‐Hoffman, Gloria, et al.. (2018). Sensitivity analyses for simulating pesticide impacts on honey bee colonies. Ecological Modelling. 376. 15–27. 21 indexed citations
11.
Whelan, G., Marirosa Molina, Rajbir Parmar, et al.. (2018). Using Integrated Environmental Modeling to Assess Sources of Microbial Contamination in Mixed‐Use Watersheds. Journal of Environmental Quality. 47(5). 1103–1114. 4 indexed citations
12.
13.
Whelan, G., Rajbir Parmar, Gerard F. Laniak, et al.. (2017). Capturing microbial sources distributed in a mixed-use watershed within an integrated environmental modeling workflow. Environmental Modelling & Software. 99. 126–146. 5 indexed citations
14.
Tebes-Stevens, Caroline, et al.. (2017). Demonstration of a consensus approach for the calculation of physicochemical properties required for environmental fate assessments. Chemosphere. 194. 94–106. 23 indexed citations
15.
Wolfe, Kurt, et al.. (2016). Chemical Transformation System: Cloud Based Cheminformatic Services to Support Integrated Environmental Modeling. ScholarsArchive (Brigham Young University). 11 indexed citations
16.
Wolfe, Kurt, Rajbir Parmar, G. Whelan, et al.. (2016). A Workflow to Model Microbial Loadings in Watersheds. ScholarsArchive (Brigham Young University). 2 indexed citations
17.
Cyterski, Mike, et al.. (2014). Virtual Beach 3: User ’s Guide. Figshare. 12 indexed citations
18.
Johnston, John M., Daniel J. McGarvey, M. Craig Barber, et al.. (2011). An integrated modeling framework for performing environmental assessments: Application to ecosystem services in the Albemarle-Pamlico basins (NC and VA, USA). Ecological Modelling. 222(14). 2471–2484. 53 indexed citations
19.
Parmar, Rajbir, et al.. (2010). Modeling Best Management Practices (BMPs) with HSPF. 3 indexed citations
20.
Mohamoud, Yusuf M., Rajbir Parmar, Kurt Wolfe, & James N. Carleton. (2008). HSPF Toolkit: A Tool for Stormwater Management at the Watershed Scale. Proceedings of the Water Environment Federation. 2008(6). 421–431. 3 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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