Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Wind Turbines Emulating Inertia and Supporting Primary Frequency Control
2006959 citationsW.L. Kling, J.A. Ferreira et al.profile →
General model for representing variable speed wind turbines in power system dynamics simulations
This map shows the geographic impact of W.L. Kling'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 W.L. Kling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W.L. Kling more than expected).
This network shows the impact of papers produced by W.L. Kling. 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 W.L. Kling. The network helps show where W.L. Kling may publish in the future.
Co-authorship network of co-authors of W.L. Kling
This figure shows the co-authorship network connecting the top 25 collaborators of W.L. Kling.
A scholar is included among the top collaborators of W.L. Kling 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 W.L. Kling. W.L. Kling 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.
Kling, W.L., et al.. (2014). Integration of Distributed Energy Resources with Virtual Power Plants--Technical, Regulatory and Socio-economic Considerations. 3(3).
Asare-Bediako, B., et al.. (2012). Overview and Comparison of Leading Communication Standard Technologies for Smart Home Area Networks Enabling Energy Management Systems. International Universities Power Engineering Conference. 1–6.13 indexed citations
4.
Frunt, J., et al.. (2012). Grid Frequency Response of Different Sized Wind Turbines. International Universities Power Engineering Conference. 1–6.7 indexed citations
5.
Vanalme, Greet, et al.. (2012). Load Shifting by Heat Pumps using Thermal Storage. International Universities Power Engineering Conference. 1–6.6 indexed citations
6.
Timens, Roelof Bernardus, Frits Buesink, V. Ćuk, et al.. (2011). Large number of small non-linear power consumers causing power quality problems. University of Twente Research Information. 592–596.7 indexed citations
7.
Meer, A. van der, Ralph L. Hendriks, Madeleine Gibescu, J.A. Ferreira, & W.L. Kling. (2011). Hybrid simulation methods to perform grid integration studies for large scale offshore wind power connected through VSC-HVDC. European Conference on Power Electronics and Applications. 1–9.1 indexed citations
8.
Kling, W.L., Lennart Söder, & I. Erlich. (2011). Wind power grid integration: The European experience. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU).14 indexed citations
9.
Cobben, J.F.G., V. Ćuk, & W.L. Kling. (2011). Increasing energy efficiency by improving power quality. TU/e Research Portal (Eindhoven University of Technology). 298–301.2 indexed citations
Frunt, J., et al.. (2010). Supplementary control for wind power smoothing. International Universities Power Engineering Conference. 1–5.4 indexed citations
13.
Veldman, E., et al.. (2010). Evaluating the power capability of a Dutch MV grid incorporating sustainable technologies. International Universities Power Engineering Conference. 1–5.2 indexed citations
14.
Hendriks, Ralph L., et al.. (2009). Fault Ride-Through Strategies for VSC-Connected Wind Parks. Research Repository (Delft University of Technology).16 indexed citations
15.
Myrzik, Johanna, et al.. (2009). Prospects of a virtual power plant to control a cluster of distributed generation and renewable energy sources. International Universities Power Engineering Conference. 1–5.24 indexed citations
16.
Vanalme, Greet, et al.. (2009). Development of a voltage and frequency control strategy for an autonomous LV network with distributed generators. International Universities Power Engineering Conference. 1–5.11 indexed citations
Myrzik, Johanna, et al.. (2004). Setting up autonomous controlled networks. Data Archiving and Networked Services (DANS). 3. 1190–1194.13 indexed citations
19.
Cobben, J.F.G., et al.. (2004). Influences of dispersed generation on the performance of the electricity grid. Data Archiving and Networked Services (DANS). 3. 978–982.1 indexed citations
20.
Kling, W.L., et al.. (1993). Network structure in sub-transmission systems. Features and practices in different countries. 6.2 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.