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 10
- Fault Detection and Control Systems 8
- Control Systems and Identification 5
- Process Optimization and Integration 1
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- Multilevel Inverters and Converters 1
- Co-authors
- Sergio Lucia (12 shared papers)Óscar Lucía (1 shared paper)D. Navarro (1 shared paper)Héctor Sarnago (1 shared paper)Teodoro Álamo (1 shared paper)Christian Meske (1 shared paper)
In The Last Decade
Benjamin Karg
12 papers receiving 478 citations
Peers
Comparison fields: 5 of 49
- Control and Systems Engineering 371
- Automotive Engineering 33
- Electrical and Electronic Engineering 123
- Artificial Intelligence 61
- Computational Theory and Mathematics 28
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 | 2020 | 174 | |
| 2 | 2020 | 79 | |
| 3 | 2018 | 72 | |
| 4 | 2023 | 51 | |
| 5 | 2021 | 37 | |
| 6 | 2018 | 31 | |
| 7 | 2021 | 22 | |
| 8 | 2019 | 14 | |
| 9 | 2021 | 7 | |
| 10 | 2018 | 6 | |
| 11 | 2022 | 2 | |
| 12 | 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 12 papers that have together received 496 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (10 papers), Fault Detection and Control Systems (8 papers), Control Systems and Identification (5 papers), Multilevel Inverters and Converters (1 paper), Energy Efficient Wireless Sensor Networks (1 paper), Process Optimization and Integration (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and Reinforcement Learning in Robotics (1 paper). The work is most often cited by research in Control and Systems Engineering (371 citations), Automotive Engineering (33 citations), Electrical and Electronic Engineering (123 citations), Artificial Intelligence (61 citations) and Computational Theory and Mathematics (28 citations). Benjamin Karg has collaborated with scholars based in Germany and Spain. Frequent co-authors include Sergio Lucia, Óscar Lucía, D. Navarro, Héctor Sarnago, Teodoro Álamo and Christian Meske. Their work appears in journals such as IEEE Transactions on Cybernetics, Computers & Chemical Engineering, Control Engineering Practice, International Journal of Robust and Nonlinear Control and IEEE Transactions on Industrial Informatics.
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.