Simon Letzgus

415 total citations
9 papers, 259 citations indexed

About

Simon Letzgus is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Civil and Structural Engineering. According to data from OpenAlex, Simon Letzgus has authored 9 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Control and Systems Engineering, 3 papers in Electrical and Electronic Engineering and 2 papers in Civil and Structural Engineering. Recurrent topics in Simon Letzgus's work include Machine Fault Diagnosis Techniques (3 papers), Water Systems and Optimization (2 papers) and Fault Detection and Control Systems (2 papers). Simon Letzgus is often cited by papers focused on Machine Fault Diagnosis Techniques (3 papers), Water Systems and Optimization (2 papers) and Fault Detection and Control Systems (2 papers). Simon Letzgus collaborates with scholars based in Germany, United States and South Korea. Simon Letzgus's co-authors include Pramod Bangalore, Daniel Karlsson, Michael Patriksson, Klaus‐Robert Müller, Jonas Lederer, Grégoire Montavon, Patrick Wagner, Wojciech Samek, G. Mahinthakumar and Mohammad Ali Khaksar Fasaee and has published in prestigious journals such as IEEE Signal Processing Magazine, Energies and Journal of Water Resources Planning and Management.

In The Last Decade

Simon Letzgus

9 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Simon Letzgus Germany	7	113	79	60	53	36	9	259
Jorge Maldonado-Correa Ecuador	8	108 1.0×	141 1.8×	26 0.4×	55 1.0×	25 0.7×	15	267
Lala Rajaoarisoa France	11	106 0.9×	71 0.9×	86 1.4×	30 0.6×	29 0.8×	55	332
Zihao Xie China	10	79 0.7×	112 1.4×	18 0.3×	53 1.0×	39 1.1×	18	306
Kai Peng China	10	80 0.7×	25 0.3×	66 1.1×	24 0.5×	38 1.1×	53	299
Bing Zeng China	11	149 1.3×	258 3.3×	28 0.5×	54 1.0×	33 0.9×	32	382
Shanqiang Li China	9	77 0.7×	36 0.5×	107 1.8×	30 0.6×	37 1.0×	28	341
Luca Biggio Switzerland	5	103 0.9×	27 0.3×	26 0.4×	42 0.8×	32 0.9×	8	222
Javad Katebi Iran	8	87 0.8×	22 0.3×	186 3.1×	37 0.7×	37 1.0×	21	358
Luoxiao Yang Hong Kong	11	129 1.1×	240 3.0×	30 0.5×	102 1.9×	44 1.2×	16	392
Kaixuan Shao China	10	234 2.1×	123 1.6×	34 0.6×	83 1.6×	121 3.4×	13	389

Countries citing papers authored by Simon Letzgus

Since Specialization

Citations

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

Fields of papers citing papers by Simon Letzgus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Letzgus

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Letzgus. A scholar is included among the top collaborators of Simon Letzgus 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 Simon Letzgus. Simon Letzgus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Letzgus, Simon & Klaus‐Robert Müller. (2023). An explainable AI framework for robust and transparent data-driven wind turbine power curve models. Energy and AI. 15. 100328–100328. 16 indexed citations

Barber, Sarah, Julian Quick, Yichao Liu, et al.. (2022). Enabling Co-Innovation for a Successful Digital Transformation in Wind Energy Using a New Digital Ecosystem and a Fault Detection Case Study. Energies. 15(15). 5638–5638. 6 indexed citations

Pesantez, Jorge E., Simon Letzgus, Mohammad Ali Khaksar Fasaee, et al.. (2022). A Sequential Pressure-Based Algorithm for Data-Driven Leakage Identification and Model-Based Localization in Water Distribution Networks. Journal of Water Resources Planning and Management. 148(6). 36 indexed citations

Letzgus, Simon, Patrick Wagner, Jonas Lederer, et al.. (2022). Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective. IEEE Signal Processing Magazine. 39(4). 40–58. 56 indexed citations

Braun, Martin, et al.. (2020). A GIS-Based Planning Approach for Urban Power and Natural Gas Distribution Grids with Different Heat Pump Scenarios. Energies. 13(16). 4052–4052. 13 indexed citations

Letzgus, Simon. (2020). Change-point detection in wind turbine SCADA data for robust condition monitoring with normal behaviour models. Wind energy science. 5(4). 1375–1397. 24 indexed citations

Pesantez, Jorge E., Simon Letzgus, Mohammad Ali Khaksar Fasaee, et al.. (2020). A high-resolution pressure-driven method for leakage identification and localization in water distribution networks. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

Letzgus, Simon. (2020). sltzgs/KernelCPD_WindSCADA: public review WES. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Bangalore, Pramod, Simon Letzgus, Daniel Karlsson, & Michael Patriksson. (2017). An artificial neural network‐based condition monitoring method for wind turbines, with application to the monitoring of the gearbox. Wind Energy. 20(8). 1421–1438. 105 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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