Ursula S. McKnight

1.6k total citations
46 papers, 1.2k citations indexed

About

Ursula S. McKnight is a scholar working on Environmental Engineering, Water Science and Technology and Pollution. According to data from OpenAlex, Ursula S. McKnight has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Environmental Engineering, 12 papers in Water Science and Technology and 8 papers in Pollution. Recurrent topics in Ursula S. McKnight's work include Groundwater flow and contamination studies (12 papers), Hydrology and Watershed Management Studies (6 papers) and Pharmaceutical and Antibiotic Environmental Impacts (6 papers). Ursula S. McKnight is often cited by papers focused on Groundwater flow and contamination studies (12 papers), Hydrology and Watershed Management Studies (6 papers) and Pharmaceutical and Antibiotic Environmental Impacts (6 papers). Ursula S. McKnight collaborates with scholars based in Denmark, Sweden and Germany. Ursula S. McKnight's co-authors include Poul Løgstrup Bjerg, Jes Jessen Rasmussen, Brian Kronvang, Philip John Binning, Peter Wiberg‐Larsen, Annette Baattrup‐Pedersen, Michael Finkel, Christian Josef Köppl, Peter Bauer‐Gottwein and Louise von Gersdorff Jørgensen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Ursula S. McKnight

45 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ursula S. McKnight Denmark 18 327 275 271 248 176 46 1.2k
Nan Yang China 12 273 0.8× 414 1.5× 314 1.2× 272 1.1× 136 0.8× 47 1.3k
Christopher D. Knightes United States 21 369 1.1× 421 1.5× 579 2.1× 222 0.9× 164 0.9× 50 1.4k
Xiaoyu Li China 25 417 1.3× 403 1.5× 187 0.7× 231 0.9× 147 0.8× 107 1.8k
Lian-Shin Lin United States 23 265 0.8× 792 2.9× 235 0.9× 270 1.1× 421 2.4× 64 1.7k
Jianping Wang China 16 258 0.8× 293 1.1× 404 1.5× 183 0.7× 584 3.3× 51 1.4k
Mingjun Ding China 22 494 1.5× 373 1.4× 284 1.0× 121 0.5× 95 0.5× 57 1.3k
Marcos Paradelo Spain 23 416 1.3× 274 1.0× 121 0.4× 281 1.1× 121 0.7× 54 1.3k
Weifang Hu China 16 435 1.3× 128 0.5× 136 0.5× 135 0.5× 143 0.8× 31 1.3k

Countries citing papers authored by Ursula S. McKnight

Since Specialization
Citations

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

Fields of papers citing papers by Ursula S. McKnight

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ursula S. McKnight. 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 Ursula S. McKnight. The network helps show where Ursula S. McKnight may publish in the future.

Co-authorship network of co-authors of Ursula S. McKnight

This figure shows the co-authorship network connecting the top 25 collaborators of Ursula S. McKnight. A scholar is included among the top collaborators of Ursula S. McKnight 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 Ursula S. McKnight. Ursula S. McKnight 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.
Broholm, Mette Martina, et al.. (2025). Fluorescence spectroscopy as an indicator tool for pharmaceutical contamination in groundwater and surface water. Chemosphere. 372. 144009–144009. 3 indexed citations
2.
Berndtsson, Ronny, et al.. (2024). Interpretable machine learning for predicting the fate and transport of pentachlorophenol in groundwater. Environmental Pollution. 345. 123449–123449. 12 indexed citations
3.
Löwe, Roland, et al.. (2023). Holistic valuation of Nature-Based Solutions accounting for human perceptions and nature benefits. Journal of Environmental Management. 334. 117498–117498. 11 indexed citations
4.
Ehbrecht, Carsten, David Huard, Trevor Smith, et al.. (2022). DEPLOYMENT OF AI-ENHANCED SERVICES IN CLIMATE RESILIENCE INFORMATION SYSTEMS. SHILAP Revista de lepidopterología. XLVIII-4/W1-2022. 187–194. 2 indexed citations
5.
Arnbjerg‐Nielsen, Karsten, Animesh K. Gain, Marko Keskinen, Olli Varis, & Ursula S. McKnight. (2022). To what extent should we ensure the explicit inclusion of water quality within the WEF nexus? Discussion of “Water quality: the missing dimension of water in the water–energy–food nexus”. Hydrological Sciences Journal. 67(8). 1287–1290. 6 indexed citations
6.
Löwe, Roland, et al.. (2022). Knowledge gaps and future research needs for assessing the non-market benefits of Nature-Based Solutions and Nature-Based Solution-like strategies. The Science of The Total Environment. 841. 156636–156636. 44 indexed citations
7.
Bjerg, Poul Løgstrup, et al.. (2021). Data-Driven System Dynamics Model for Simulating Water Quantity and Quality in Peri-Urban Streams. Water. 13(21). 3002–3002. 9 indexed citations
8.
Köppl, Christian Josef, Radu Malureanu, Carsten Dam‐Hansen, et al.. (2021). Hyperspectral reflectance measurements from UAS under intermittent clouds: Correcting irradiance measurements for sensor tilt. Remote Sensing of Environment. 267. 112719–112719. 20 indexed citations
9.
10.
McKnight, Ursula S., et al.. (2020). Evidence of Spatio‐Temporal Variations in Contaminants Discharging to a Peri‐Urban Stream. Groundwater Monitoring & Remediation. 40(2). 40–51. 11 indexed citations
11.
Wünsch, Urban, et al.. (2018). Investigating Fluorescent Organic-Matter Composition as a Key Predictor for Arsenic Mobility in Groundwater Aquifers. Environmental Science & Technology. 52(22). 13027–13036. 91 indexed citations
12.
McKnight, Ursula S., et al.. (2017). Assessing the chemical contamination dynamics in a mixed land use stream system. Water Research. 125. 141–151. 30 indexed citations
13.
McKnight, Ursula S., et al.. (2017). Contaminant mass discharge to streams: Comparing direct groundwater velocity measurements and multi-level groundwater sampling with an in-stream approach. Journal of Contaminant Hydrology. 206. 43–54. 36 indexed citations
14.
Binning, Philip John, et al.. (2016). A Bayesian belief network approach for assessing uncertainty in conceptual site models at contaminated sites. Journal of Contaminant Hydrology. 188. 12–28. 18 indexed citations
15.
Rasmussen, Jes Jessen, et al.. (2015). Legacy of a Chemical Factory Site: Contaminated Groundwater Impacts Stream Macroinvertebrates. Archives of Environmental Contamination and Toxicology. 70(2). 219–230. 17 indexed citations
16.
Troldborg, Mads, et al.. (2012). Uncertainty of mass discharge estimation from contaminated sites at screening level. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 2012. 1 indexed citations
17.
McKnight, Ursula S., Jes Jessen Rasmussen, Brian Kronvang, Poul Løgstrup Bjerg, & Philip John Binning. (2011). Occurrence Of Pesticides In Surface And Groundwater In Two Catchments On Sjælland, Denmark. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1 indexed citations
18.
McKnight, Ursula S., et al.. (2010). An integrated model for assessing the risk of TCE groundwater contamination to human receptors and surface water ecosystems. Ecological Engineering. 36(9). 1126–1137. 54 indexed citations
19.
McKnight, Ursula S. & Michael Finkel. (2008). Model-based preliminary assessment of mega-site management options : a new approach to improve tiered decision-making. IAHS-AISH publication. 499–506. 2 indexed citations
20.
Finkel, Michael, et al.. (2007). MODELLING TOOLS FOR THE SELECTION AND OPTIMISATION OF CONTAMINATED LAND MANAGEMENT STRATEGIES. 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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