Sven Killinger

599 total citations
22 papers, 494 citations indexed

About

Sven Killinger is a scholar working on Artificial Intelligence, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering. According to data from OpenAlex, Sven Killinger has authored 22 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 14 papers in Renewable Energy, Sustainability and the Environment and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Sven Killinger's work include Solar Radiation and Photovoltaics (16 papers), Photovoltaic System Optimization Techniques (13 papers) and Solar Thermal and Photovoltaic Systems (9 papers). Sven Killinger is often cited by papers focused on Solar Radiation and Photovoltaics (16 papers), Photovoltaic System Optimization Techniques (13 papers) and Solar Thermal and Photovoltaic Systems (9 papers). Sven Killinger collaborates with scholars based in Germany, Australia and Sweden. Sven Killinger's co-authors include Nicholas A. Engerer, Russell McKenna, Jamie M. Bright, Wolf Fïchtner, David Lingfors, Kai Mainzer, Björn Müller, Joakim Widén, Bernhard Wille‐Haussmann and Jörgen Ahlberg and has published in prestigious journals such as Applied Energy, Energy and Solar Energy.

In The Last Decade

Sven Killinger

22 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sven Killinger Germany 10 343 250 173 98 79 22 494
Alina Walch Switzerland 8 114 0.3× 141 0.6× 103 0.6× 113 1.2× 47 0.6× 16 320
Kai Mainzer Germany 9 154 0.4× 131 0.5× 217 1.3× 95 1.0× 102 1.3× 16 490
Mark Rylatt United Kingdom 11 110 0.3× 99 0.4× 129 0.7× 140 1.4× 98 1.2× 17 461
Zhecheng Wang United States 9 204 0.6× 111 0.4× 77 0.4× 84 0.9× 76 1.0× 10 446
Youness El Mghouchi Morocco 13 240 0.7× 222 0.9× 135 0.8× 185 1.9× 46 0.6× 24 568
Adria E. Brooks United States 11 246 0.7× 295 1.2× 258 1.5× 154 1.6× 35 0.4× 30 554
Ana Gracia Amillo Italy 6 256 0.7× 228 0.9× 168 1.0× 78 0.8× 72 0.9× 10 487
Pedro José Zorzano Santamaría Spain 8 211 0.6× 141 0.6× 231 1.3× 50 0.5× 45 0.6× 18 464
Pieter Gagnon United States 10 83 0.2× 80 0.3× 220 1.3× 68 0.7× 38 0.5× 15 386
Yingni Jiang China 8 408 1.2× 313 1.3× 188 1.1× 114 1.2× 51 0.6× 25 544

Countries citing papers authored by Sven Killinger

Since Specialization
Citations

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

Fields of papers citing papers by Sven Killinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Killinger

This figure shows the co-authorship network connecting the top 25 collaborators of Sven Killinger. A scholar is included among the top collaborators of Sven Killinger 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 Sven Killinger. Sven Killinger 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.
Killinger, Sven, et al.. (2023). Analysing Grid-Level Effects of Photovoltaic Self-Consumption Using a Stochastic Bottom-up Model of Prosumer Systems. Energies. 16(7). 3059–3059. 5 indexed citations
2.
Killinger, Sven, et al.. (2022). Modelling PV self-consumption at portfolio level. IET conference proceedings.. 2021(12). 146–153. 1 indexed citations
3.
Bright, Jamie M., Sven Killinger, & Nicholas A. Engerer. (2019). Data article: Distributed PV power data for three cities in Australia. Journal of Renewable and Sustainable Energy. 11(3). 12 indexed citations
4.
Killinger, Sven, Jamie M. Bright, David Lingfors, & Nicholas A. Engerer. (2017). A tuning routine to correct systematic influences in reference PV systems’ power outputs. Solar Energy. 157. 1082–1094. 13 indexed citations
5.
Killinger, Sven, et al.. (2017). Upscaling PV Power Considering Module Orientations. IEEE Journal of Photovoltaics. 7(3). 941–944. 20 indexed citations
6.
Lingfors, David, Jamie M. Bright, Nicholas A. Engerer, et al.. (2017). Comparing the capability of low- and high-resolution LiDAR data with application to solar resource assessment, roof type classification and shading analysis. Applied Energy. 205. 1216–1230. 62 indexed citations
7.
Mainzer, Kai, Sven Killinger, Russell McKenna, & Wolf Fïchtner. (2017). Assessment of rooftop photovoltaic potentials at the urban level using publicly available geodata and image recognition techniques. Solar Energy. 155. 561–573. 119 indexed citations
8.
Killinger, Sven, Nicholas A. Engerer, & Björn Müller. (2017). QCPV: A quality control algorithm for distributed photovoltaic array power output. Solar Energy. 143. 120–131. 47 indexed citations
9.
Bright, Jamie M., Sven Killinger, David Lingfors, & Nicholas A. Engerer. (2017). Improved satellite-derived PV power nowcasting using real-time power data from reference PV systems. Solar Energy. 168. 118–139. 76 indexed citations
10.
Killinger, Sven, Jamie M. Bright, & David Lingfors. (2017). Towards a Tuning Method of PV Power Measurements to Balance Systematic Influences. ANU Open Research (Australian National University). 1–11. 2 indexed citations
11.
Killinger, Sven, Björn Müller, Yves‐Marie Saint‐Drenan, & Russell McKenna. (2016). Towards an improved nowcasting method by evaluating power profiles of PV systems to detect apparently atypical behavior. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 980–985. 5 indexed citations
12.
Killinger, Sven, et al.. (2016). Impact of the nominal and real peak power of PV systems on grid reinforcement. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–6. 1 indexed citations
13.
Killinger, Sven, et al.. (2016). Evaluation of methods for estimating distribution grid stress due to future installations of photovoltaic units. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 5 indexed citations
14.
Mainzer, Kai, et al.. (2016). Rooftop PV Potential Estimations: Automated Orthographic Satellite Image Recognition Based on Publicly Available Data. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 2930–2933. 8 indexed citations
15.
Killinger, Sven, et al.. (2016). Projection of power generation between differently-oriented PV systems. Solar Energy. 136. 153–165. 30 indexed citations
16.
Klein, Konstantin, et al.. (2016). Comparison of the Past and Future Residual Load in Fifteen Countries and Requirements to Grid-Supportive Building Operation. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–12. 5 indexed citations
17.
Killinger, Sven, et al.. (2016). Uncertainty and error analysis of calculation procedures for PV self-consumption and its significance to investment decisions. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–5. 4 indexed citations
18.
Killinger, Sven, et al.. (2015). Impact of the Solar Eclipse from 20th March 2015 on the German Electrical Supply—Simulation and Analysis. Energy Technology. 4(2). 288–297. 4 indexed citations
19.
20.
McKenna, Russell, et al.. (2013). Selected approaches to integration management for renewable energies. uwf UmweltWirtschaftsForum. 21(3-4). 199–207. 5 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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