Dirk Schwanenberg

1.5k total citations
52 papers, 1.1k citations indexed

About

Dirk Schwanenberg is a scholar working on Water Science and Technology, Ocean Engineering and Global and Planetary Change. According to data from OpenAlex, Dirk Schwanenberg has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Water Science and Technology, 25 papers in Ocean Engineering and 19 papers in Global and Planetary Change. Recurrent topics in Dirk Schwanenberg's work include Hydrology and Watershed Management Studies (25 papers), Water resources management and optimization (23 papers) and Flood Risk Assessment and Management (18 papers). Dirk Schwanenberg is often cited by papers focused on Hydrology and Watershed Management Studies (25 papers), Water resources management and optimization (23 papers) and Flood Risk Assessment and Management (18 papers). Dirk Schwanenberg collaborates with scholars based in Netherlands, Germany and United States. Dirk Schwanenberg's co-authors include Fernando Mainardi Fan, Albrecht Weerts, Marc Harms, Luciano Raso, P. J. van Overloop, Nick van de Giesen, P. J. Restrepo, Hamid Moradkhani, Martyn Clark and Dong‐Jun Seo and has published in prestigious journals such as Journal of Hydrology, Hydrological Processes and Hydrology and earth system sciences.

In The Last Decade

Dirk Schwanenberg

48 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dirk Schwanenberg Netherlands 16 673 523 346 279 273 52 1.1k
Domenico Pianese Italy 22 291 0.4× 275 0.5× 152 0.4× 324 1.2× 138 0.5× 64 1.1k
Dušan Prodanović Serbia 15 417 0.6× 623 1.2× 78 0.2× 423 1.5× 180 0.7× 43 950
Andrew Ross United States 18 187 0.3× 329 0.6× 137 0.4× 164 0.6× 149 0.5× 45 890
Francesco Macchione Italy 22 589 0.9× 1.0k 1.9× 91 0.3× 249 0.9× 402 1.5× 48 1.3k
A. Musy Switzerland 13 657 1.0× 389 0.7× 129 0.4× 229 0.8× 285 1.0× 60 981
Seung Oh Lee South Korea 14 278 0.4× 352 0.7× 87 0.3× 122 0.4× 101 0.4× 79 891
Pierfranco Costabile Italy 23 783 1.2× 1.2k 2.3× 77 0.2× 289 1.0× 507 1.9× 40 1.4k
Arash Adib Iran 18 421 0.6× 472 0.9× 190 0.5× 273 1.0× 77 0.3× 81 931
A. Verwey United Kingdom 6 394 0.6× 388 0.7× 54 0.2× 151 0.5× 161 0.6× 11 1.1k
Xilin Xia United Kingdom 18 655 1.0× 1.0k 1.9× 78 0.2× 402 1.4× 588 2.2× 41 1.5k

Countries citing papers authored by Dirk Schwanenberg

Since Specialization
Citations

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

Fields of papers citing papers by Dirk Schwanenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dirk Schwanenberg

This figure shows the co-authorship network connecting the top 25 collaborators of Dirk Schwanenberg. A scholar is included among the top collaborators of Dirk Schwanenberg 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 Dirk Schwanenberg. Dirk Schwanenberg 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.
Schwanenberg, Dirk, et al.. (2019). Co-Developing a Knowledge Portal for the Presentation and Analysis of Uncertain Global Multi-Model Based Information on Freshwater-Related Hazards of Climate Change. EGU General Assembly Conference Abstracts. 16909. 1 indexed citations
3.
4.
Schwanenberg, Dirk, et al.. (2017). Short Term Optimal Operation of Water Supply Reservoir under Flood Control Stress using Model Predictive Control. Water Resources Management. 32(2). 583–597. 20 indexed citations
5.
Fan, Fernando Mainardi, et al.. (2016). Performance assessment of deterministic and probabilistic weather predictions for the short-term optimization of a tropical hydropower reservoir. Lume (Universidade Federal do Rio Grande do Sul). 1 indexed citations
6.
Schwanenberg, Dirk, et al.. (2016). Moving horizon estimation for assimilating H-SAF remote sensing data into the HBV hydrological model. Advances in Water Resources. 92. 248–257. 20 indexed citations
7.
Fan, Fernando Mainardi, et al.. (2014). Ensemble Streamflow Predictions in the Três Marias Basin, Brazil. Lume (Universidade Federal do Rio Grande do Sul). 14191. 1 indexed citations
8.
Schwanenberg, Dirk, et al.. (2014). Trade-off Assessment of Simplified Routing Models for Short-Term Hydropower Reservoir Optimization. EGUGA. 15814. 1 indexed citations
9.
Schwanenberg, Dirk, Bernhard Becker, & Min Xu. (2014). The open real-time control (RTC)-Tools software framework for modeling RTC in water resources sytems. Journal of Hydroinformatics. 17(1). 130–148. 23 indexed citations
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11.
Gooijer, Jan G. De, et al.. (2013). Practical application of drainage system control by using MPC in Noorderzijlvest. EGUGA. 5 indexed citations
12.
Vieira, J. M. Pereira, José L. S. Pinho, Nicolina Dias, Dirk Schwanenberg, & H.F.P. van den Boogaard. (2013). Parameter estimation for eutrophication models in reservoirs. Water Science & Technology. 68(2). 319–327. 12 indexed citations
13.
Becker, Bernhard, et al.. (2012). OpenStreams: Open Source Components as Building Blocks for Integrated Hydrological Models. EGU General Assembly Conference Abstracts. 3953. 2 indexed citations
14.
Raso, Luciano, Dirk Schwanenberg, & Nick van de Giesen. (2012). Tree Structure Generation from Ensemble Forecasts for Short-Term Reservoir Optimization. AGU Fall Meeting Abstracts. 2012. 1 indexed citations
15.
Weerts, Albrecht, Martyn Clark, Harrie‐Jan Hendricks Franssen, et al.. (2012). Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities. Hydrology and earth system sciences. 16(10). 3863–3887. 358 indexed citations
16.
Galelli, Stefano, et al.. (2011). Assessing the effectiveness of a real-time control method for Marina Reservoir management. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 1 indexed citations
17.
Schwanenberg, Dirk, et al.. (2011). An example of Flood Forecasting and Decision-Support System for water management in Spain.. ISCRAM. 2 indexed citations
18.
Schwanenberg, Dirk, et al.. (2010). Nonlinear model predictive control of water resources systems in operational flood forecasting. Common Library Network (Der Gemeinsame Bibliotheksverbund). 2 indexed citations
19.
Raso, Luciano, et al.. (2010). Tree-Scenario Based Model Predictive Control. EGU General Assembly Conference Abstracts. 3178. 2 indexed citations
20.
Goede, E.D. de, et al.. (2009). Coupled 1D–3D hydrodynamic modelling, with application to the Pearl River Delta. Ocean Dynamics. 59(6). 1077–1093. 39 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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