Mads Troldborg

1.3k total citations · 1 hit paper
32 papers, 1.0k citations indexed

About

Mads Troldborg is a scholar working on Environmental Engineering, Water Science and Technology and Ocean Engineering. According to data from OpenAlex, Mads Troldborg has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Environmental Engineering, 10 papers in Water Science and Technology and 7 papers in Ocean Engineering. Recurrent topics in Mads Troldborg's work include Groundwater flow and contamination studies (8 papers), Groundwater and Isotope Geochemistry (6 papers) and Hydrology and Watershed Management Studies (5 papers). Mads Troldborg is often cited by papers focused on Groundwater flow and contamination studies (8 papers), Groundwater and Isotope Geochemistry (6 papers) and Hydrology and Watershed Management Studies (5 papers). Mads Troldborg collaborates with scholars based in United Kingdom, Denmark and Germany. Mads Troldborg's co-authors include Rupert Hough, Inge Aalders, Nana Yaw Amponsah, Simon Heslop, Philip John Binning, Poul Løgstrup Bjerg, Nina Tuxen, Wolfgang Nowak, Rainer Helmig and Paul D. Hallett and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, The Science of The Total Environment and Water Research.

In The Last Decade

Mads Troldborg

28 papers receiving 974 citations

Hit Papers

Greenhouse gas emissions from renewable energy sources: A... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mads Troldborg United Kingdom 12 362 224 149 126 118 32 1.0k
Elçin Kentel Türkiye 18 261 0.7× 210 0.9× 219 1.5× 89 0.7× 211 1.8× 44 1.4k
Dewei Yang China 20 368 1.0× 158 0.7× 91 0.6× 119 0.9× 31 0.3× 40 1.0k
Kenichi Nakagami Japan 13 146 0.4× 182 0.8× 316 2.1× 137 1.1× 50 0.4× 20 1.0k
Zhidong Li China 19 246 0.7× 313 1.4× 113 0.8× 161 1.3× 24 0.2× 53 1.1k
J.O. Jaber United Kingdom 20 137 0.4× 215 1.0× 216 1.4× 265 2.1× 58 0.5× 38 1.4k
Mingyue Pang China 22 549 1.5× 222 1.0× 132 0.9× 163 1.3× 15 0.1× 46 1.2k
Xiao-Chen Yuan China 22 708 2.0× 157 0.7× 151 1.0× 280 2.2× 96 0.8× 37 1.6k
Eric Antwi Ofosu Ghana 17 149 0.4× 146 0.7× 121 0.8× 143 1.1× 22 0.2× 36 777
Omid Nematollahi Iran 22 269 0.7× 462 2.1× 401 2.7× 348 2.8× 139 1.2× 38 1.7k
Rembrandt Koppelaar United Kingdom 15 179 0.5× 218 1.0× 216 1.4× 215 1.7× 17 0.1× 21 1.1k

Countries citing papers authored by Mads Troldborg

Since Specialization
Citations

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

Fields of papers citing papers by Mads Troldborg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mads Troldborg

This figure shows the co-authorship network connecting the top 25 collaborators of Mads Troldborg. A scholar is included among the top collaborators of Mads Troldborg 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 Mads Troldborg. Mads Troldborg 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
2.
Smilovic, Mikhail, et al.. (2025). Stakeholder-informed approach improves national modelling of water resources for a Sub-Saharan African basin. Journal of Hydrology Regional Studies. 60. 102574–102574.
3.
Máca, Petr, et al.. (2025). Can causal discovery lead to a more robust prediction model for runoff signatures?. Hydrology and earth system sciences. 29(19). 4761–4790.
4.
Hough, Rupert, Luke Beesley, Mads Troldborg, et al.. (2025). Modeling metal uptake by selected vegetables from urban soils in Europe: uncovering key soil factors using partial least squares regression (PLS-R). Human and Ecological Risk Assessment An International Journal. 31(3-4). 434–458.
5.
Bjerg, Poul Løgstrup, et al.. (2024). Quantification of contaminant mass discharge and uncertainties: Method and challenges in application at contaminated sites. Journal of Contaminant Hydrology. 268. 104453–104453. 1 indexed citations
6.
Kalin, Robert M., et al.. (2024). Mixed method analysis of anthropogenic groundwater contamination of drinking water sources in Malawi. The Science of The Total Environment. 957. 177418–177418. 5 indexed citations
7.
Kalin, Robert M., et al.. (2024). Spatial model of groundwater contamination risks from pit-latrines in a low-income country. Water Research. 267. 122734–122734. 2 indexed citations
10.
Troldborg, Mads, et al.. (2022). Probabilistic modelling of the inherent field-level pesticide pollution risk in a small drinking water catchment using spatial Bayesian belief networks. Hydrology and earth system sciences. 26(5). 1261–1293. 11 indexed citations
11.
Macleod, C. J. A., et al.. (2021). Factors Influencing the Awareness and Adoption of Borehole-Garden Permaculture in Malawi: Lessons for the Promotion of Sustainable Practices. Sustainability. 13(21). 12196–12196. 6 indexed citations
13.
Troldborg, Mads, et al.. (2019). Stochastic inverse modelling of groundwater flow and nitrate pollution in the Berambadi catchment. EGUGA. 16477. 1 indexed citations
14.
Troldborg, Mads, et al.. (2017). A risk-based approach for developing standards for irrigation with reclaimed water. Water Research. 126. 372–384. 30 indexed citations
15.
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
16.
Zhang, Zulin, Mads Troldborg, Kyari Yates, et al.. (2016). Evaluation of spot and passive sampling for monitoring, flux estimation and risk assessment of pesticides within the constraints of a typical regulatory monitoring scheme. The Science of The Total Environment. 569-570. 1369–1379. 44 indexed citations
17.
Amponsah, Nana Yaw, et al.. (2014). Greenhouse gas emissions from renewable energy sources: A review of lifecycle considerations. Renewable and Sustainable Energy Reviews. 39. 461–475. 393 indexed citations breakdown →
18.
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
19.
Troldborg, Mads, et al.. (2011). Risk-based prioritisation of point sources through assessment of the impact on a water supply. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 383–386. 2 indexed citations
20.
Troldborg, Mads, Wolfgang Nowak, Philip John Binning, Poul Løgstrup Bjerg, & Rainer Helmig. (2011). Uncertainty of mass discharge estimates from contaminated sites using a fully Bayesian framework. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 46–50. 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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