Simon Letzgus
Impact in
- Control and Systems Engineering top 10%
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
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- Water Systems and Optimization
- Structural Health Monitoring Techniques
Papers in
-
- Machine Fault Diagnosis Techniques 3
- Fault Detection and Control Systems 2
- Co-authors
- Michael Patriksson (1 shared paper)Daniel Karlsson (1 shared paper)Pramod Bangalore (1 shared paper)Klaus‐Robert Müller (2 shared papers)Wojciech Samek (1 shared paper)Patrick Wagner (1 shared paper)Jonas Lederer (1 shared paper)Grégoire Montavon (1 shared paper)
- Journals
- Energies (2 papers)Energy and AI (1 paper)IEEE Signal Processing Magazine (1 paper)Wind energy science (1 paper)Wind Energy (1 paper)
- Partner nations
- GermanyUnited StatesSouth Korea
In The Last Decade
Simon Letzgus
9 papers receiving 270 citations
Peers
Comparison fields: 5 of 66
- Control and Systems Engineering 121
- Civil and Structural Engineering 66
- Safety, Risk, Reliability and Quality 27
- Energy Engineering and Power Technology 7
- Artificial Intelligence 55
Countries citing papers authored by Simon Letzgus
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
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-authors
The 20 scholars most cited alongside Simon Letzgus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 108 | |
| 2 | 2022 | 62 | |
| 3 | 2022 | 42 | |
| 4 | 2020 | 25 | |
| 5 | 2023 | 18 | |
| 6 | 2020 | 13 | |
| 7 | 2022 | 6 | |
| 8 | 2020 | 2 | |
| 9 | 2020 | 1 |
About Simon Letzgus
Simon Letzgus is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Civil and Structural Engineering, Artificial Intelligence and Health, Toxicology and Mutagenesis, having authored 9 papers that have together received 277 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (3 papers), Water Systems and Optimization (2 papers), Fault Detection and Control Systems (2 papers), Geothermal Energy Systems and Applications (1 paper), Adversarial Robustness in Machine Learning (1 paper), Water Treatment and Disinfection (1 paper), Machine Learning and Data Classification (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Control and Systems Engineering (121 citations), Civil and Structural Engineering (66 citations), Safety, Risk, Reliability and Quality (27 citations), Energy Engineering and Power Technology (7 citations) and Artificial Intelligence (55 citations). Simon Letzgus has collaborated with scholars based in Germany, United States and South Korea. Frequent co-authors include Michael Patriksson, Daniel Karlsson, Pramod Bangalore, Klaus‐Robert Müller, Wojciech Samek, Patrick Wagner, Jonas Lederer, Grégoire Montavon, Mohammad Ali Khaksar Fasaee and Jorge E. Pesantez. Their work appears in journals such as Energies, Energy and AI, IEEE Signal Processing Magazine, Wind energy science and Wind Energy.
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.