Ole Mark

3.8k total citations · 1 hit paper
80 papers, 2.8k citations indexed

About

Ole Mark is a scholar working on Environmental Engineering, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Ole Mark has authored 80 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Environmental Engineering, 45 papers in Global and Planetary Change and 28 papers in Water Science and Technology. Recurrent topics in Ole Mark's work include Flood Risk Assessment and Management (43 papers), Urban Stormwater Management Solutions (42 papers) and Hydrology and Watershed Management Studies (23 papers). Ole Mark is often cited by papers focused on Flood Risk Assessment and Management (43 papers), Urban Stormwater Management Solutions (42 papers) and Hydrology and Watershed Management Studies (23 papers). Ole Mark collaborates with scholars based in Denmark, United Kingdom and Thailand. Ole Mark's co-authors include Slobodan Djordjević, David Butler, Albert Chen, Michael Hammond, Peter Steen Mikkelsen, Chusit Apirumanekul, Karsten Arnbjerg‐Nielsen, Sutat Weesakul, Philippe Gourbesville and Philip John Binning and has published in prestigious journals such as The Science of The Total Environment, Water Resources Research and Journal of Hydrology.

In The Last Decade

Ole Mark

76 papers receiving 2.7k citations

Hit Papers

Urban flood impact assessment: A state-of-the-art review 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ole Mark Denmark 27 2.1k 1.4k 1.1k 581 428 80 2.8k
Assela Pathirana Netherlands 25 1.6k 0.8× 888 0.6× 702 0.6× 425 0.7× 299 0.7× 89 2.4k
Steven J. Burian United States 32 2.1k 1.0× 2.0k 1.4× 1.2k 1.1× 745 1.3× 521 1.2× 155 3.7k
Karsten Arnbjerg‐Nielsen Denmark 38 3.6k 1.7× 1.8k 1.3× 1.7k 1.6× 1.4k 2.3× 308 0.7× 147 4.8k
Kaoru Takara Japan 31 2.0k 1.0× 732 0.5× 1.7k 1.5× 823 1.4× 324 0.8× 273 3.6k
Jonas Olsson Sweden 35 2.5k 1.2× 1.1k 0.8× 1.3k 1.1× 1.2k 2.0× 226 0.5× 128 3.6k
Jorge Leandro Germany 27 1.9k 0.9× 963 0.7× 940 0.8× 648 1.1× 589 1.4× 86 2.4k
Wenyan Wu Australia 28 1.1k 0.5× 913 0.7× 1.0k 0.9× 558 1.0× 502 1.2× 105 2.5k
Sandrine Anquetin France 32 2.1k 1.0× 866 0.6× 1.0k 0.9× 1.3k 2.3× 94 0.2× 78 3.2k
Slobodan Djordjević United Kingdom 36 3.7k 1.8× 1.5k 1.1× 1.8k 1.6× 1.3k 2.2× 906 2.1× 143 4.7k
Sutat Weesakul Thailand 19 1.2k 0.6× 637 0.5× 552 0.5× 456 0.8× 136 0.3× 48 1.8k

Countries citing papers authored by Ole Mark

Since Specialization
Citations

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

Fields of papers citing papers by Ole Mark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ole Mark

This figure shows the co-authorship network connecting the top 25 collaborators of Ole Mark. A scholar is included among the top collaborators of Ole Mark 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 Ole Mark. Ole Mark 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.
Mark, Ole, et al.. (2024). Implementation of two-phase modeling of hydrogen sulfide in fresh market's combined sewers in Rat Burana, Bangkok. Journal of Environmental Management. 358. 120852–120852. 1 indexed citations
2.
Duan, Huan‐Feng, et al.. (2023). A multi-objective decision-making framework for implementing green-grey infrastructures to enhance urban drainage system resilience. Journal of Hydrology. 620. 129381–129381. 62 indexed citations
3.
Duan, Huan‐Feng, et al.. (2023). Unit-scale- and catchment-scale-based sensitivity analysis of bioretention cell for urban stormwater system management. Journal of Hydroinformatics. 25(4). 1471–1487. 5 indexed citations
4.
Duan, Huan‐Feng, et al.. (2023). Statistical evaluation on hydrologic performance of bioretention design parameters under different rainfall conditions. IOP Conference Series Earth and Environmental Science. 1136(1). 12024–12024. 1 indexed citations
5.
Mark, Ole, et al.. (2023). Quantifying Mixing in Sewer Networks for Source Localization. Journal of Environmental Engineering. 149(5). 4 indexed citations
6.
Béen, Frederic, Zoran Vojinović, Dragan Savić, et al.. (2023). Machine Learning for Detecting Virus Infection Hotspots Via Wastewater‐Based Epidemiology: The Case of SARS‐CoV‐2 RNA. GeoHealth. 7(10). e2023GH000866–e2023GH000866. 8 indexed citations
7.
Duan, Huan‐Feng, et al.. (2022). Catchment-Scale and Local-Scale Based Evaluation of LID Effectiveness on Urban Drainage System Performance. Water Resources Management. 36(2). 507–526. 58 indexed citations
8.
Mark, Ole, et al.. (2021). Predicting Manhole Mixing Using a Compartmental Model. Journal of Hydraulic Engineering. 147(12). 4 indexed citations
10.
11.
Lynggaard-Jensen, Anders, et al.. (2019). Making the ecosystem services approach operational: A case study application to the Aarhus River, Denmark. The Science of The Total Environment. 707. 135836–135836. 16 indexed citations
12.
Hu, Ruochen, et al.. (2018). Numerical simulation of floods from multiple sources using an adaptive anisotropic unstructured mesh method. Advances in Water Resources. 123. 173–188. 32 indexed citations
13.
Locatelli, Luca, et al.. (2014). Modelling the impact of retention-detention units on sewer surcharge and peak and annual runoff reduction. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1 indexed citations
14.
Locatelli, Luca, Ole Mark, Peter Steen Mikkelsen, et al.. (2014). Modelling of green roof hydrological performance for urban drainage applications. Journal of Hydrology. 519. 3237–3248. 130 indexed citations
15.
Russo, Beniamino, et al.. (2013). Real-time urban flood forecasting and modelling – a state of the art. Journal of Hydroinformatics. 15(3). 717–736. 179 indexed citations
16.
Quevauviller, Philippe, ‪Damià Barceló, Martin Beniston, et al.. (2012). Integration of research advances in modelling and monitoring in support of WFD river basin management planning in the context of climate change. The Science of The Total Environment. 440. 167–177. 36 indexed citations
17.
Mark, Ole, et al.. (2011). Representing soakaways in a physically distributed urban drainage model – Upscaling individual allotments to an aggregated scale. Journal of Hydrology. 414-415. 530–538. 15 indexed citations
18.
Mark, Ole, et al.. (2001). Integrated Modelling of the Sewer System and the Receiving Waters for the Island of Ischia. 548–557. 5 indexed citations
19.
Mark, Ole. (1995). Numerical Modelling Approaches for Sediment Transport in Sewer Systems. 1 indexed citations
20.
Mark, Ole, et al.. (1995). Mousetrap: modelling of water quality processes and the interaction of sediments and pollutants in sewers. Water Science & Technology. 31(7). 33–41. 8 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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