Simon Wiedemann

692 total citations
14 papers, 333 citations indexed

About

Simon Wiedemann is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Simon Wiedemann has authored 14 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Simon Wiedemann's work include Dynamics and Control of Mechanical Systems (3 papers), Multilevel Inverters and Converters (2 papers) and Space Satellite Systems and Control (2 papers). Simon Wiedemann is often cited by papers focused on Dynamics and Control of Mechanical Systems (3 papers), Multilevel Inverters and Converters (2 papers) and Space Satellite Systems and Control (2 papers). Simon Wiedemann collaborates with scholars based in Germany, United Kingdom and Norway. Simon Wiedemann's co-authors include Oskar Wallrapp, Wojciech Samek, Sebastian Lapuschkin, Philipp Seegerer, Alexander Binder, Seul-Ki Yeom, Klaus‐Robert Müller, Kai Furmans, Reinhard Heckel and Christoph M. Hackl and has published in prestigious journals such as Nature Communications, Pattern Recognition and Journal of Sound and Vibration.

In The Last Decade

Simon Wiedemann

14 papers receiving 314 citations

Peers

Simon Wiedemann
Simon Wiedemann
Citations per year, relative to Simon Wiedemann Simon Wiedemann (= 1×) peers Shihong Yin

Countries citing papers authored by Simon Wiedemann

Since Specialization
Citations

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

Fields of papers citing papers by Simon Wiedemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Wiedemann

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

All Works

14 of 14 papers shown
1.
Wiedemann, Simon & Reinhard Heckel. (2024). A deep learning method for simultaneous denoising and missing wedge reconstruction in cryogenic electron tomography. Nature Communications. 15(1). 8255–8255. 13 indexed citations
2.
Wiedemann, Simon, Caroline Wilpert, Ralph Strecker, et al.. (2024). Deep learning reconstructed T2-weighted Dixon imaging of the spine: Impact on acquisition time and image quality. European Journal of Radiology. 178. 111633–111633. 3 indexed citations
3.
Wiedemann, Simon & Christoph M. Hackl. (2023). Simultaneous Identification of Inverter and Machine Nonlinearities for Self-Commissioning of Electrical Synchronous Machine Drives. IEEE Transactions on Energy Conversion. 38(3). 1767–1780. 10 indexed citations
4.
Yeom, Seul-Ki, Philipp Seegerer, Sebastian Lapuschkin, et al.. (2021). Pruning by explaining: A novel criterion for deep neural network pruning. Pattern Recognition. 115. 107899–107899. 144 indexed citations
5.
Schwarz, Heiko, Simon Wiedemann, Karsten Müller, et al.. (2020). Dependent Scalar Quantization For Neural Network Compression. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 36–40. 7 indexed citations
6.
Wiedemann, Simon, et al.. (2020). Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T). arXiv (Cornell University). 3105–3113. 5 indexed citations
7.
Sattler, Felix, Simon Wiedemann, Karsten Müller, et al.. (2020). Deepcabac: Plug & Play Compression of Neural Network Weights and Weight Updates. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 6 indexed citations
8.
Wiedemann, Simon. (2018). Accurate Self-identification of Inverter Nonlinear Effects in AC Drives. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 3 indexed citations
9.
Wiedemann, Simon & Ralph Kennel. (2018). Self-Commissioning of the Current Control Loop in AC Drives. mediaTUM (Technical University of Munich). 4 indexed citations
10.
Wiedemann, Simon, et al.. (2016). A discrete-time queueing network approach to performance evaluation of autonomous vehicle storage and retrieval systems. International Journal of Production Research. 55(4). 960–978. 45 indexed citations
11.
Wiedemann, Simon, et al.. (2007). Requirements Management: Interface Between Requirements Development and all other Engineering Processes. Springer eBooks. 33 indexed citations
12.
Wiedemann, Simon, et al.. (2007). Eigenvalue analysis and optimised numerical simulations of the space shuttle remote manipulator system. Journal of Sound and Vibration. 307(1-2). 265–279. 5 indexed citations
13.
Wiedemann, Simon. (2002). Dynamics and control of flexible articulated space manipulators with large payloads. OpenGrey (Institut de l'Information Scientifique et Technique). 2 indexed citations
14.
Wallrapp, Oskar & Simon Wiedemann. (2002). Simulation of Deployment of a Flexible Solar Array. Multibody System Dynamics. 7(1). 101–125. 53 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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