Benjamin Karg
Impact in
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- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Control Systems and Identification
- Iterative Learning Control Systems
- Process Optimization and Integration
- Adaptive Control of Nonlinear Systems
Papers in
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- Advanced Control Systems Optimization 11
- Fault Detection and Control Systems 9
- Control Systems and Identification 5
- Advanced Data Processing Techniques 1
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- Silicon Carbide Semiconductor Technologies 1
- Advanced DC-DC Converters 1
- Co-authors
- Sergio Lucia (13 shared papers)D. Navarro (1 shared paper)Héctor Sarnago (1 shared paper)Óscar Lucía (1 shared paper)Teodoro Álamo (1 shared paper)Christian Meske (1 shared paper)
In The Last Decade
Benjamin Karg
13 papers receiving 538 citations
Benjamin Karg's Hit Papers
Peers
Comparison fields: 5 of 50
- Control and Systems Engineering 403
- Automotive Engineering 36
- Electrical and Electronic Engineering 128
- Artificial Intelligence 64
- Computational Theory and Mathematics 29
Countries citing papers authored by Benjamin Karg
This map shows the geographic impact of Benjamin Karg'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 Benjamin Karg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Karg more than expected).
Fields of papers citing papers by Benjamin Karg
This network shows the impact of papers produced by Benjamin Karg. 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 Benjamin Karg. The network helps show where Benjamin Karg may publish in the future.
Co-authors
The 6 scholars most cited alongside Benjamin Karg, 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 | Efficient Representation and Approximation of Model Predictive Control Laws via Deep Learning Hit paper breakdown → | 2020 | 192 |
| 2 | 2020 | 84 | |
| 3 | 2018 | 77 | |
| 4 | 2023 | 64 | |
| 5 | 2021 | 40 | |
| 6 | 2018 | 33 | |
| 7 | 2021 | 24 | |
| 8 | 2019 | 17 | |
| 9 | 2018 | 7 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 3 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 1 |
About Benjamin Karg
Benjamin Karg is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications and Molecular Biology, having authored 13 papers that have together received 551 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (11 papers), Fault Detection and Control Systems (9 papers), Control Systems and Identification (5 papers), Advanced Data Processing Techniques (1 paper), Silicon Carbide Semiconductor Technologies (1 paper), IoT and Edge/Fog Computing (1 paper), Energy Efficient Wireless Sensor Networks (1 paper) and Advanced DC-DC Converters (1 paper). The work is most often cited by research in Control and Systems Engineering (403 citations), Automotive Engineering (36 citations), Electrical and Electronic Engineering (128 citations), Artificial Intelligence (64 citations) and Computational Theory and Mathematics (29 citations). Benjamin Karg has collaborated with scholars based in Germany and Spain. Frequent co-authors include Sergio Lucia, D. Navarro, Héctor Sarnago, Óscar Lucía, Teodoro Álamo and Christian Meske. Their work appears in journals such as International Journal of Robust and Nonlinear Control, Computers & Chemical Engineering, Lecture notes in control and information sciences, IEEE Transactions on Cybernetics and Control Engineering Practice.
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.