David Steffelbauer

518 total citations
33 papers, 366 citations indexed

About

David Steffelbauer is a scholar working on Civil and Structural Engineering, Water Science and Technology and Ocean Engineering. According to data from OpenAlex, David Steffelbauer has authored 33 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Civil and Structural Engineering, 12 papers in Water Science and Technology and 7 papers in Ocean Engineering. Recurrent topics in David Steffelbauer's work include Water Systems and Optimization (25 papers), Water Quality Monitoring Technologies (8 papers) and Water resources management and optimization (5 papers). David Steffelbauer is often cited by papers focused on Water Systems and Optimization (25 papers), Water Quality Monitoring Technologies (8 papers) and Water resources management and optimization (5 papers). David Steffelbauer collaborates with scholars based in Austria, Netherlands and Norway. David Steffelbauer's co-authors include Daniela Fuchs-Hanusch, Markus Günther, Markus Neumayer, Edo Abraham, Olivier Piller, Jochen Deuerlein, Mirjam Blokker, Steven G. Buchberger, Franz Tscheikner-Gratl and Dirk Muschalla and has published in prestigious journals such as Water Research, Environmental Research Letters and Water Resources Management.

In The Last Decade

David Steffelbauer

32 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Steffelbauer Austria 11 258 128 82 78 66 33 366
Xiao Zhou China 10 294 1.1× 105 0.8× 91 1.1× 82 1.1× 41 0.6× 23 389
in Chief Ghana 4 262 1.0× 97 0.8× 85 1.0× 105 1.3× 61 0.9× 13 370
Michele Romano United Kingdom 11 467 1.8× 198 1.5× 165 2.0× 124 1.6× 93 1.4× 24 582
Guancheng Guo China 9 251 1.0× 124 1.0× 159 1.9× 138 1.8× 63 1.0× 13 432
Carlo Ciaponi Italy 12 301 1.2× 127 1.0× 91 1.1× 190 2.4× 81 1.2× 23 438
Víctor H. Alcocer-Yamanaka Mexico 11 367 1.4× 162 1.3× 181 2.2× 132 1.7× 46 0.7× 27 478
David Vicente Spain 10 192 0.7× 57 0.4× 47 0.6× 37 0.5× 35 0.5× 21 319
Fazal Hussain Chaudhry Brazil 9 188 0.7× 106 0.8× 89 1.1× 77 1.0× 51 0.8× 29 313
Alfeu Sá Marques Portugal 13 388 1.5× 191 1.5× 142 1.7× 235 3.0× 115 1.7× 43 582
Luisa Fernanda Ribeiro Reis Brazil 12 521 2.0× 176 1.4× 253 3.1× 114 1.5× 97 1.5× 34 661

Countries citing papers authored by David Steffelbauer

Since Specialization
Citations

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

Fields of papers citing papers by David Steffelbauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Steffelbauer

This figure shows the co-authorship network connecting the top 25 collaborators of David Steffelbauer. A scholar is included among the top collaborators of David Steffelbauer 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 David Steffelbauer. David Steffelbauer 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.
Thienen, P. van, et al.. (2025). Water loss management in Europe: perceptions, drivers, responses/strategies, and results. Water Practice & Technology. 20(9). 1921–1938.
2.
Veldhuis, Marie‐Claire ten, et al.. (2024). A new Bayesian approach for managing bathing water quality at river bathing locations vulnerable to short-term pollution. Water Research. 252. 121186–121186. 1 indexed citations
3.
Steffelbauer, David, et al.. (2023). Uncertainties in different leak localization methods for water distribution networks: a review. Urban Water Journal. 20(8). 953–967. 7 indexed citations
4.
Abhijith, Gopinathan R., David Steffelbauer, & Avi Ostfeld. (2023). Toward Digital Twins for Emerging Contaminants in Water Distribution Systems. 1047–1057. 2 indexed citations
5.
Bentivoglio, Roberto, et al.. (2023). Assessing the performances and transferability of graph neural network metamodels for water distribution systems. Journal of Hydroinformatics. 25(6). 2223–2234. 10 indexed citations
6.
Alvisi, Stefano, Mirjam Blokker, Steven G. Buchberger, et al.. (2022). Investigating the characteristics of residential end uses of water: A worldwide review. Water Research. 230. 119500–119500. 54 indexed citations
7.
Steffelbauer, David, et al.. (2022). pySIMDEUM - An open-source stochastic water demand end-use model. RiuNet (Politechnical University of Valencia). 4 indexed citations
8.
Tscheikner-Gratl, Franz, et al.. (2022). Flow Measurements Derived from Camera Footage Using an Open-Source Ecosystem. Water. 14(3). 424–424. 7 indexed citations
9.
Steffelbauer, David, et al.. (2022). Evidence of regional sea-level rise acceleration for the North Sea. Environmental Research Letters. 17(7). 74002–74002. 19 indexed citations
10.
Steffelbauer, David, Mirjam Blokker, Steven G. Buchberger, Arno Knobbe, & Edo Abraham. (2021). Dynamic Time Warping Clustering to Discover Socioeconomic Characteristics in Smart Water Meter Data. Journal of Water Resources Planning and Management. 147(6). 10 indexed citations
11.
Steffelbauer, David, et al.. (2021). Pressure-Leak Duality for Leak Detection and Localization in Water Distribution Systems. Journal of Water Resources Planning and Management. 148(3). 43 indexed citations
12.
Steffelbauer, David, et al.. (2020). Fantastic leaks and where to find them. 1 indexed citations
13.
Steffelbauer, David, et al.. (2018). Selecting a series of storm events for a model-based assessment of combined sewer overflows. Urban Water Journal. 15(5). 453–460. 7 indexed citations
14.
Fuchs-Hanusch, Daniela & David Steffelbauer. (2017). Real-world Comparison of Sensor Placement Algorithms for Leakage Localization. Procedia Engineering. 186. 499–505. 7 indexed citations
15.
Steffelbauer, David & Daniela Fuchs-Hanusch. (2016). Efficient Sensor Placement for Leak Localization Considering Uncertainties. Water Resources Management. 30(14). 5517–5533. 47 indexed citations
16.
Steffelbauer, David & Daniela Fuchs-Hanusch. (2015). OOPNET: An object-oriented EPANET in Python. Procedia Engineering. 119. 710–718. 19 indexed citations
17.
Steffelbauer, David, Markus Günther, Markus Neumayer, & Daniela Fuchs-Hanusch. (2014). Sensor Placement and Leakage Isolation with Differential Evolution. 20. 408–416. 2 indexed citations
18.
Fuchs-Hanusch, Daniela, Markus Günther, David Steffelbauer, & Dirk Muschalla. (2014). Impact of Failure Mode, Crack Area, and Pressure on Leakage Outflow. 525–534. 4 indexed citations
19.
Neumayer, Markus, David Steffelbauer, Markus Günther, & Daniela Fuchs-Hanusch. (2014). Computational Efficient Small Signal Model For Fast Hydraulic Simulations. CUNY Academic Works (City University of New York). 4 indexed citations
20.
Günther, Markus, David Steffelbauer, Markus Neumayer, & Daniela Fuchs-Hanusch. (2014). Experimental Setup to Examine Leakage Outflow in a Scaled Water Distribution Network. Procedia Engineering. 89. 311–317. 4 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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