Hans Bludszuweit

1.2k total citations · 1 hit paper
22 papers, 926 citations indexed

About

Hans Bludszuweit is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Hans Bludszuweit has authored 22 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 6 papers in Control and Systems Engineering and 4 papers in Automotive Engineering. Recurrent topics in Hans Bludszuweit's work include Electric Power System Optimization (6 papers), Smart Grid Energy Management (5 papers) and Electric Vehicles and Infrastructure (4 papers). Hans Bludszuweit is often cited by papers focused on Electric Power System Optimization (6 papers), Smart Grid Energy Management (5 papers) and Electric Vehicles and Infrastructure (4 papers). Hans Bludszuweit collaborates with scholars based in Spain, Italy and Greece. Hans Bludszuweit's co-authors include José A. Domínguez‐Navarro, A. Llombart, S. Vicente, Θεόδωρος Θεοδωρόπουλος, Francesco Paolo Deflorio, Paolo Guglielmi, Angelos Amditis, J. Sallán, J. A. Rueda and Nick Reed and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Access and Renewable Energy.

In The Last Decade

Hans Bludszuweit

19 papers receiving 889 citations

Hit Papers

Statistical Analysis of Wind Power Forecast Error 2008 2026 2014 2020 2008 100 200 300 400 500
What are hit papers?

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.

  1. Statistical Analysis of Wind Power Forecast Error
    2008 585 citations Hans Bludszuweit, José A. Domínguez‐Navarro et al. IEEE Transactions on Power Systems profile →

Peers

Hans Bludszuweit
Kurt Rohrig Germany
Junhui Huang China
Leonel Carvalho Portugal
Robert John Millar Finland
Deping Ke China
Clyde Loutan United States
Daniel Villanueva Spain
R. Ramadan Egypt
Buhan Zhang China
Jianhua Bai China
Kurt Rohrig Germany
Hans Bludszuweit
Citations per year, relative to Hans Bludszuweit Hans Bludszuweit (= 1×) peers Kurt Rohrig

Countries citing papers authored by Hans Bludszuweit

Since Specialization
Citations

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

Fields of papers citing papers by Hans Bludszuweit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Bludszuweit

This figure shows the co-authorship network connecting the top 25 collaborators of Hans Bludszuweit. A scholar is included among the top collaborators of Hans Bludszuweit 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 Hans Bludszuweit. Hans Bludszuweit 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.
Herrero, Elías, et al.. (2023). Modeling and Simulation of Time Domain Reflectometry Signals on a Real Network for Use in Fault Classification and Location. IEEE Access. 11. 23596–23619. 5 indexed citations
2.
Bludszuweit, Hans, et al.. (2020). Solar Radiation Estimation Using Data Mining Techniques for Remote Areas—A Case Study in Ethiopia. Energies. 13(21). 5714–5714. 1 indexed citations
3.
Marquina, Daniel, et al.. (2020). Photovoltaic Generation Impact Analysis in Low Voltage Distribution Grids. Energies. 13(17). 4347–4347. 27 indexed citations
4.
Ballestín-Fuertes, Javier, et al.. (2020). Fault Location in Low-Voltage Distribution Networks based on Reflectometry – A Case Study. Renewable Energy and Power Quality Journal. 18(6). 1 indexed citations
5.
Bludszuweit, Hans, et al.. (2019). Control structure for optimal demand-side management with a multi-technology battery storage system. Zaguan (University of Zaragoza Repository). 754–759. 3 indexed citations
6.
Bludszuweit, Hans, et al.. (2018). EV charging infrastructure in a petrol station, lessons learned. 1–6. 11 indexed citations
7.
Bludszuweit, Hans, et al.. (2018). Optimal demand-side management with a multi-technology battery storage system. Renewable Energy and Power Quality Journal. 1. 345–349. 2 indexed citations
8.
Villa, Juan Luis, et al.. (2018). Wireless power supply for mobile aluminium furnaces. 2. 1–6. 1 indexed citations
9.
Bludszuweit, Hans, et al.. (2017). Simulation of a Hybrid System Wind Turbine-Battery-Ultracapacitor.. Renewable Energy and Power Quality Journal. 3(1). 3 indexed citations
10.
Matute, G., et al.. (2017). Microgrids, a new business model for the energy market. Renewable Energy and Power Quality Journal. 12(7). 6 indexed citations
11.
Bludszuweit, Hans, et al.. (2017). Probabilistic model for distributed generation expansion in distribution power network. Renewable Energy and Power Quality Journal. 9(1).
12.
Bludszuweit, Hans, et al.. (2017). The impact of induction generator and PWM inverter with energy storage on weak grids.. Renewable Energy and Power Quality Journal. 4(1).
13.
Rinaldi, Gino, Gianmaria Sannino, Giovanni Bracco, et al.. (2015). Development of a simplified analytical model for a passive inertial system solicited by wave motion. Open Research Exeter (University of Exeter). 13. 45–61. 9 indexed citations
14.
Θεοδωρόπουλος, Θεόδωρος, Angelos Amditis, J. Sallán, et al.. (2014). Impact of dynamic EV wireless charging on the grid. 1–7. 25 indexed citations
15.
Vicente, S. & Hans Bludszuweit. (2012). Flexible design of a pico-hydropower system for Laos communities. Renewable Energy. 44. 406–413. 16 indexed citations
16.
Bludszuweit, Hans & José A. Domínguez‐Navarro. (2011). A Probabilistic Method for Energy Storage Sizing Based on Wind Power Forecast Uncertainty. IEEE Transactions on Power Systems. 26(3). 1651–1658. 203 indexed citations
17.
Bludszuweit, Hans, et al.. (2010). Probabilistic energy storage sizing for reducing wind power forecast uncertainty. Renewable Energy and Power Quality Journal. 1(8). 1153–1157. 5 indexed citations
18.
Bludszuweit, Hans. (2009). Reduction of the uncertainty of wind power predictions using energy storage. Dialnet (Universidad de la Rioja). 5 indexed citations
19.
Bludszuweit, Hans, et al.. (2008). Definición y clasificación de centrales hidroeléctricas. Dialnet (Universidad de la Rioja). 29–41. 1 indexed citations
20.
Bludszuweit, Hans, José A. Domínguez‐Navarro, & A. Llombart. (2008). Statistical Analysis of Wind Power Forecast Error. IEEE Transactions on Power Systems. 23(3). 983–991. 585 indexed citations breakdown →

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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