Andreas Kugi

6.7k total citations · 1 hit paper
410 papers, 5.0k citations indexed

About

Andreas Kugi is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Andreas Kugi has authored 410 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 263 papers in Control and Systems Engineering, 140 papers in Mechanical Engineering and 73 papers in Electrical and Electronic Engineering. Recurrent topics in Andreas Kugi's work include Hydraulic and Pneumatic Systems (54 papers), Iterative Learning Control Systems (52 papers) and Metallurgy and Material Forming (51 papers). Andreas Kugi is often cited by papers focused on Hydraulic and Pneumatic Systems (54 papers), Iterative Learning Control Systems (52 papers) and Metallurgy and Material Forming (51 papers). Andreas Kugi collaborates with scholars based in Austria, Germany and United Kingdom. Andreas Kugi's co-authors include Wolfgang Kemmetmüller, Andreas Steinboeck, Thomas Meurer, Christian Ott, Alin Albu‐Schäffer, G. Hirzinger, Knut Graichen, Kurt Schlacher, Tobias Glück and Martin Böck and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Applied Energy.

In The Last Decade

Andreas Kugi

383 papers receiving 4.8k citations

Hit Papers

On the Passivity-Based Im... 2008 2026 2014 2020 2008 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Andreas Kugi 3.1k 1.8k 794 667 599 410 5.0k
Roberto Horowitz 6.1k 1.9× 1.8k 1.0× 1.6k 2.0× 1.1k 1.6× 455 0.8× 368 8.5k
Jan Swevers 6.3k 2.0× 3.6k 2.0× 393 0.5× 950 1.4× 502 0.8× 389 8.2k
Jun Luo 1.6k 0.5× 1.7k 1.0× 733 0.9× 957 1.4× 348 0.6× 194 4.8k
Ning Sun 5.9k 1.9× 2.2k 1.2× 256 0.3× 620 0.9× 835 1.4× 223 7.0k
Zongxia Jiao 4.5k 1.4× 4.2k 2.4× 1.2k 1.5× 770 1.2× 254 0.4× 367 6.4k
Peter Eberhard 2.2k 0.7× 1.8k 1.0× 221 0.3× 533 0.8× 706 1.2× 331 4.7k
M. O. Tokhi 2.4k 0.8× 901 0.5× 248 0.3× 1.0k 1.5× 213 0.4× 389 4.5k
Qian Ding 4.3k 1.4× 2.8k 1.6× 400 0.5× 1.1k 1.6× 1.5k 2.5× 222 6.9k
Deqing Huang 3.2k 1.0× 1.3k 0.7× 356 0.4× 552 0.8× 162 0.3× 282 4.5k
Jiong Tang 1.2k 0.4× 1.3k 0.7× 936 1.2× 737 1.1× 807 1.3× 207 4.0k

Countries citing papers authored by Andreas Kugi

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Kugi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Kugi

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

All Works

20 of 20 papers shown
1.
Kugi, Andreas, et al.. (2025). Fast coherent splitting of Bose-Einstein condensates. Physical Review Research. 7(4).
2.
Kugi, Andreas, et al.. (2025). Optimal sensing of momentum kicks with a feedback-controlled nanomechanical resonator. Physical Review Applied. 23(5). 1 indexed citations
3.
Kugi, Andreas, et al.. (2025). Nonlinear model predictive temperature control of a cooling process for steel strips undergoing phase transformations. Control Engineering Practice. 165. 106512–106512.
4.
Fuchs, G., Andreas Kugi, & Wolfgang Kemmetmüller. (2024). Magnetic equivalent circuit modeling of a permanent magnet linear synchronous motor composed of curved segments. Mechatronics. 104. 103256–103256. 3 indexed citations
5.
Zeman, P., et al.. (2024). A control-oriented mathematical model for the evolution of temperatures and phases in a steel strip during cooling. International Journal of Heat and Mass Transfer. 225. 125365–125365. 3 indexed citations
6.
Kugi, Andreas, et al.. (2024). Combining federated learning and control: A survey. IET Control Theory and Applications. 18(18). 2503–2523. 2 indexed citations
7.
Kugi, Andreas, et al.. (2024). Mathematical modeling and system analysis for preventing unsteady bulging in continuous slab casting machines. Journal of Process Control. 139. 103232–103232. 5 indexed citations
8.
Kugi, Andreas, et al.. (2023). Optimal torque control with radial force compensation for multiphase PMSMs under an open-circuit fault. IFAC-PapersOnLine. 56(2). 4412–4417. 2 indexed citations
9.
Kugi, Andreas, et al.. (2023). Add-on Harmonic Disturbance Cancellation Control in Continuous Hot-Dip Galvanizing Lines. IFAC-PapersOnLine. 56(2). 6181–6186. 1 indexed citations
10.
Kugi, Andreas, et al.. (2023). Mathematical modelling of an electrostatic oiling machine for steel strips. Mathematical and Computer Modelling of Dynamical Systems. 29(1). 69–94. 1 indexed citations
11.
Steinboeck, Andreas, et al.. (2023). Indirekte Schätzung der Magnettemperatur einer Permanentmagnet-Synchronmaschine. at - Automatisierungstechnik. 71(8). 599–611. 1 indexed citations
12.
Kugi, Andreas, et al.. (2022). Model calibration strategy for energy-efficient operation of induction machines. IFAC-PapersOnLine. 55(20). 307–312. 3 indexed citations
13.
Steinboeck, Andreas, et al.. (2022). Optimal control of motion and camber of steel plates in a multi-pass reversing rolling process*. IFAC-PapersOnLine. 55(21). 180–185. 1 indexed citations
14.
Kowalski, Marek A., Andreas Steinboeck, & Andreas Kugi. (2022). Scheduling Multiple Groups of Jobs for a Multi-Line Steel Hot Rolling Mill. IFAC-PapersOnLine. 55(21). 168–173. 1 indexed citations
15.
Steinboeck, Andreas, et al.. (2022). Iterative learning and feedback control for the curvature and contact force of a metal strip on a roll. Control Engineering Practice. 121. 105071–105071. 2 indexed citations
16.
Kowalski, Marek A., et al.. (2021). Optimal Start Times for a Flow Shop with Blocking Constraints, No-Wait Constraints, and Stochastic Processing Times. IFAC-PapersOnLine. 54(1). 659–664. 1 indexed citations
17.
Kugi, Andreas, et al.. (2020). Stochastic Iterative Learning Control for Lumped- and Distributed-Parameter Systems: A Wiener-Filtering Approach. IEEE Transactions on Automatic Control. 66(8). 3856–3862. 16 indexed citations
18.
Kemmetmüller, Wolfgang, et al.. (2019). Nonlinear Model Predictive Control of a Variable-Speed Pumped-Storage Power Plant. IEEE Transactions on Control Systems Technology. 29(2). 645–660. 31 indexed citations
19.
Kugi, Andreas. (2001). Non-Linear Control Based on Physical Models: Electrical, Hydraulic, and Mechanical Systems. Springer eBooks. 18 indexed citations
20.
Kugi, Andreas, et al.. (1999). Symbolic Computation For The Analysis AndSynthesis Of Nonlinear Control Systems. WIT transactions on engineering sciences. 22. 9 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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