Torsten Knohl
Impact in
-
- Adaptive Control of Nonlinear Systems
- Microgrid Control and Optimization
- Iterative Learning Control Systems
- Automotive Engineering top 10%
Papers in
-
- Fault Detection and Control Systems 3
- Iterative Learning Control Systems 3
- Smart Grid Security and Resilience 2
- Advanced Control Systems Optimization 2
-
- Flexible and Reconfigurable Manufacturing Systems 7
- Digital Transformation in Industry 4
- Co-authors
- H. Unbehauen (4 shared papers)Alexander Fay (7 shared papers)Leon Urbas (7 shared papers)Mario Hoernicke (6 shared papers)Wenxia Xu (1 shared paper)Katharina D.C. Stärk (3 shared papers)Axel Haller (3 shared papers)
- Journals
- Control Engineering Practice (2 papers)Mechatronics (1 paper)IFAC-PapersOnLine (1 paper)Procedia CIRP (1 paper)IEE Proceedings - Control Theory and Applications (1 paper)
In The Last Decade
Torsten Knohl
12 papers receiving 1.2k citations
Torsten Knohl's Hit Papers
Peers
Comparison fields: 5 of 61
- Control and Systems Engineering 939
- Automotive Engineering 107
- Electrical and Electronic Engineering 471
- Industrial and Manufacturing Engineering 74
- Mechanical Engineering 230
Countries citing papers authored by Torsten Knohl
This map shows the geographic impact of Torsten Knohl'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 Torsten Knohl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Torsten Knohl more than expected).
Fields of papers citing papers by Torsten Knohl
This network shows the impact of papers produced by Torsten Knohl. 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 Torsten Knohl. The network helps show where Torsten Knohl may publish in the future.
Co-authors
The 7 scholars most cited alongside Torsten Knohl, 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 | Sliding Mode Control in Electromechanical Systems Hit paper breakdown → | 2000 | 1035 |
| 2 | 2000 | 100 | |
| 3 | 2017 | 23 | |
| 4 | 2018 | 18 | |
| 5 | 2017 | 16 | |
| 6 | 2000 | 16 | |
| 7 | 2018 | 14 | |
| 8 | 2003 | 12 | |
| 9 | 2020 | 10 | |
| 10 | 2017 | 4 | |
| 11 | 1998 | 2 | |
| 12 | 2017 | 1 |
About Torsten Knohl
Torsten Knohl is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering, Artificial Intelligence, Management Information Systems and Computational Theory and Mathematics, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Flexible and Reconfigurable Manufacturing Systems (7 papers), Digital Transformation in Industry (4 papers), Fault Detection and Control Systems (3 papers), Neural Networks and Applications (3 papers), Iterative Learning Control Systems (3 papers), Smart Grid Security and Resilience (2 papers), Advanced Control Systems Optimization (2 papers) and Hydraulic and Pneumatic Systems (2 papers). The work is most often cited by research in Control and Systems Engineering (939 citations), Automotive Engineering (107 citations), Electrical and Electronic Engineering (471 citations), Industrial and Manufacturing Engineering (74 citations) and Mechanical Engineering (230 citations). Torsten Knohl has collaborated with scholars based in Germany and France. Frequent co-authors include H. Unbehauen, Alexander Fay, Leon Urbas, Mario Hoernicke, Wenxia Xu, Katharina D.C. Stärk and Axel Haller. Their work appears in journals such as Control Engineering Practice, Mechatronics, IFAC-PapersOnLine, Procedia CIRP and IEE Proceedings - Control Theory and Applications.
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.