Benjamin Karg

785 total citations
12 papers, 496 citations indexed

About

Benjamin Karg is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Benjamin Karg has authored 12 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 3 papers in Electrical and Electronic Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Benjamin Karg's work include Advanced Control Systems Optimization (10 papers), Fault Detection and Control Systems (8 papers) and Control Systems and Identification (5 papers). Benjamin Karg is often cited by papers focused on Advanced Control Systems Optimization (10 papers), Fault Detection and Control Systems (8 papers) and Control Systems and Identification (5 papers). Benjamin Karg collaborates with scholars based in Germany and Spain. Benjamin Karg's co-authors include Sergio Lucia, D. Navarro, Héctor Sarnago, Óscar Lucía, Teodoro Álamo and Christian Meske and has published in prestigious journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Industrial Informatics and Computers & Chemical Engineering.

In The Last Decade

Benjamin Karg

12 papers receiving 478 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Benjamin Karg Germany	8	371	123	61	33	33	12	496
Raffaele Soloperto Germany	10	414 1.1×	106 0.9×	33 0.5×	31 0.9×	21 0.6×	22	487
Luis Arturo Soriano Mexico	10	220 0.6×	144 1.2×	45 0.7×	24 0.7×	32 1.0×	23	357
Swaminathan Gopalswamy United States	9	311 0.8×	48 0.4×	42 0.7×	67 2.0×	44 1.3×	37	422
Faouzi Bouani Tunisia	11	370 1.0×	41 0.3×	42 0.7×	24 0.7×	20 0.6×	78	437
Erdal Eker Türkiye	12	241 0.6×	121 1.0×	210 3.4×	15 0.5×	32 1.0×	35	472
Mokhtar Sha Sadeghi Iran	11	183 0.5×	146 1.2×	101 1.7×	26 0.8×	26 0.8×	22	368
Boubekeur Mendil Algeria	10	184 0.5×	176 1.4×	77 1.3×	28 0.8×	27 0.8×	38	371
Martin Steinberger Austria	13	325 0.9×	79 0.6×	23 0.4×	45 1.4×	39 1.2×	71	449
Metin Demirtaş Türkiye	15	225 0.6×	257 2.1×	79 1.3×	25 0.8×	40 1.2×	38	449

Countries citing papers authored by Benjamin Karg

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Benjamin Karg

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

All Works

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12 of 12 papers shown

Karg, Benjamin, et al.. (2023). do-mpc: Towards FAIR nonlinear and robust model predictive control. Control Engineering Practice. 140. 105676–105676. 51 indexed citations

Karg, Benjamin, et al.. (2022). Explainable artificial intelligence for deep learning-based model predictive controllers. 30. 464–471. 1 indexed citations

Karg, Benjamin & Sergio Lucia. (2022). Guaranteed safe control of systems with parametric uncertainties via neural network controllers. 2022 IEEE 61st Conference on Decision and Control (CDC). 7302–7308. 2 indexed citations

Karg, Benjamin & Sergio Lucia. (2021). Reinforced approximate robust nonlinear model predictive control. 149–156. 7 indexed citations

Karg, Benjamin & Sergio Lucia. (2021). Approximate moving horizon estimation and robust nonlinear model predictive control via deep learning. Computers & Chemical Engineering. 148. 107266–107266. 22 indexed citations

Karg, Benjamin, Teodoro Álamo, & Sergio Lucia. (2021). Probabilistic performance validation of deep learning‐based robust NMPC controllers. International Journal of Robust and Nonlinear Control. 31(18). 8855–8876. 37 indexed citations

Lucia, Sergio, D. Navarro, Benjamin Karg, Héctor Sarnago, & Óscar Lucía. (2020). Deep Learning-Based Model Predictive Control for Resonant Power Converters. IEEE Transactions on Industrial Informatics. 17(1). 409–420. 79 indexed citations

Karg, Benjamin & Sergio Lucia. (2020). Efficient Representation and Approximation of Model Predictive Control Laws via Deep Learning. IEEE Transactions on Cybernetics. 50(9). 3866–3878. 174 indexed citations

Karg, Benjamin & Sergio Lucia. (2019). Learning-based approximation of robust nonlinear predictive control with state estimation applied to a towing kite. 16–22. 14 indexed citations

10.

Karg, Benjamin & Sergio Lucia. (2018). Deep learning-based embedded mixed-integer model predictive control. 2075–2080. 31 indexed citations

11.

Lucia, Sergio & Benjamin Karg. (2018). A deep learning-based approach to robust nonlinear model predictive control. IFAC-PapersOnLine. 51(20). 511–516. 72 indexed citations

12.

Karg, Benjamin & Sergio Lucia. (2018). Towards low-energy, low-cost and high-performance IoT-based operation of interconnected systems. 6 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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