Marcus Reble

782 total citations
25 papers, 533 citations indexed

About

Marcus Reble is a scholar working on Control and Systems Engineering, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Marcus Reble has authored 25 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Control and Systems Engineering, 3 papers in Molecular Biology and 2 papers in Computer Networks and Communications. Recurrent topics in Marcus Reble's work include Advanced Control Systems Optimization (23 papers), Fault Detection and Control Systems (16 papers) and Control Systems and Identification (14 papers). Marcus Reble is often cited by papers focused on Advanced Control Systems Optimization (23 papers), Fault Detection and Control Systems (16 papers) and Control Systems and Identification (14 papers). Marcus Reble collaborates with scholars based in Germany, Australia and China. Marcus Reble's co-authors include Frank Allgöwer, Matthias A. Müller, Shuyou Yu, Hong Chen, S.K.Y. Nikravesh, Reza Mahboobi Esfanjani, Karl Worthmann, Lars Grüne, Ulrich Münz and Daniel E. Quevedo and has published in prestigious journals such as Automatica, SIAM Journal on Control and Optimization and International Journal of Robust and Nonlinear Control.

In The Last Decade

Marcus Reble

25 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcus Reble Germany 11 468 88 35 33 32 25 533
Shengzhong Xu China 4 575 1.2× 74 0.8× 33 0.9× 48 1.5× 7 0.2× 7 651
Zhidong Qi China 12 331 0.7× 122 1.4× 45 1.3× 26 0.8× 11 0.3× 40 437
Linlin Ou China 13 372 0.8× 142 1.6× 13 0.4× 21 0.6× 8 0.3× 69 525
Yulong Gao Sweden 11 428 0.9× 237 2.7× 53 1.5× 19 0.6× 17 0.5× 35 562
Raffaele Soloperto Germany 10 414 0.9× 28 0.3× 31 0.9× 21 0.6× 18 0.6× 22 487
Mohammad Reza Jahed‐Motlagh Iran 15 428 0.9× 107 1.2× 36 1.0× 29 0.9× 14 0.4× 48 596
Hamed Kharrati Iran 12 247 0.5× 53 0.6× 23 0.7× 45 1.4× 7 0.2× 64 401
Yajing Yu China 8 205 0.4× 214 2.4× 29 0.8× 31 0.9× 6 0.2× 14 360
Ridha Ben Abdennour Tunisia 14 540 1.2× 33 0.4× 18 0.5× 58 1.8× 7 0.2× 70 595

Countries citing papers authored by Marcus Reble

Since Specialization
Citations

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

Fields of papers citing papers by Marcus Reble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcus Reble

This figure shows the co-authorship network connecting the top 25 collaborators of Marcus Reble. A scholar is included among the top collaborators of Marcus Reble 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 Marcus Reble. Marcus Reble 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.
Bradford, Eric, et al.. (2019). Economic stochastic nonlinear model predictive control of a semi-batch polymerization reaction. IFAC-PapersOnLine. 52(1). 667–672. 9 indexed citations
2.
Bradford, Eric, Marcus Reble, & Lars Imsland. (2019). Output feedback stochastic nonlinear model predictive control of a polymerization batch process. Zenodo (CERN European Organization for Nuclear Research). 3144–3151. 6 indexed citations
3.
Yu, Shuyou, Marcus Reble, Hong Chen, & Frank Allgöwer. (2014). Inherent robustness properties of quasi-infinite horizon nonlinear model predictive control. Automatica. 50(9). 2269–2280. 112 indexed citations
4.
Reble, Marcus, et al.. (2014). Model predictive control using reduced order models: Guaranteed stability for constrained linear systems. Journal of Process Control. 24(11). 1647–1659. 22 indexed citations
5.
Worthmann, Karl, Marcus Reble, Lars Grüne, & Frank Allgöwer. (2014). The Role of Sampling for Stability and Performance in Unconstrained Nonlinear Model Predictive Control. SIAM Journal on Control and Optimization. 52(1). 581–605. 28 indexed citations
6.
Reble, Marcus, Daniel E. Quevedo, & Frank Allgöwer. (2012). Improved stability conditions for unconstrained nonlinear model predictive control by using additional weighting terms. 2625–2630. 3 indexed citations
7.
Reble, Marcus, Daniel E. Quevedo, & Frank Allgöwer. (2012). A unifying framework for stability in MPC using a generalized integral terminal cost. 1211–1216. 2 indexed citations
8.
Müller, Matthias A., Marcus Reble, & Frank Allgöwer. (2012). Cooperative control of dynamically decoupled systems via distributed model predictive control. International Journal of Robust and Nonlinear Control. 22(12). 1376–1397. 96 indexed citations
9.
Reble, Marcus, Daniel E. Quevedo, & Frank Allgöwer. (2012). Control over erasure channels: stochastic stability and performance of packetized unconstrained model predictive control. International Journal of Robust and Nonlinear Control. 23(10). 1151–1167. 8 indexed citations
10.
Reble, Marcus & Frank Allgöwer. (2012). Unconstrained model predictive control and suboptimality estimates for nonlinear continuous-time systems. Automatica. 48(8). 1812–1817. 87 indexed citations
11.
Reble, Marcus, Matthias A. Müller, & Frank Allgöwer. (2011). Unconstrained model predictive control and suboptimality estimates for nonlinear time-delay systems. 7599–7604. 4 indexed citations
12.
Reble, Marcus, Florian D. Brunner, & Frank Allgöwer. (2011). Model Predictive Control for Nonlinear Time-Delay Systems without Terminal Constraint. IFAC Proceedings Volumes. 44(1). 9254–9259. 10 indexed citations
13.
Müller, Matthias A., Marcus Reble, & Frank Allgöwer. (2011). A general distributed MPC framework for cooperative control. IFAC Proceedings Volumes. 44(1). 7987–7992. 19 indexed citations
14.
Yu, Shuyou, Marcus Reble, Hong Chen, & Frank Allgöwer. (2011). Inherent Robustness Properties of Quasi-infinite Horizon MPC. IFAC Proceedings Volumes. 44(1). 179–184. 8 indexed citations
15.
Reble, Marcus, Reza Mahboobi Esfanjani, S.K.Y. Nikravesh, & Frank Allgöwer. (2010). Model predictive control of constrained non-linear time-delay systems. IMA Journal of Mathematical Control and Information. 28(2). 183–201. 24 indexed citations
16.
Münz, Ulrich, et al.. (2010). A Matlab-Based Game for Advanced Automatic Control Education. IFAC Proceedings Volumes. 42(24). 140–145. 9 indexed citations
17.
Reble, Marcus & Frank Allgöwer. (2010). General design parameters of model predictive control for nonlinear time-delay systems. 176–181. 10 indexed citations
18.
Reble, Marcus & Frank Allgöwer. (2010). Stabilizing design parameters for model predictive control of constrained nonlinear time-delay systems. IFAC Proceedings Volumes. 43(2). 361–366. 3 indexed citations
19.
Reble, Marcus, Christoph Böhm, & Frank Allgöwer. (2009). Nonlinear model predictive control for periodic systems using LMIs. 3365–3370. 7 indexed citations
20.
Esfanjani, Reza Mahboobi, Marcus Reble, Ulrich Münz, S.K.Y. Nikravesh, & Frank Allgöwer. (2009). Model predictive control of constrained nonlinear time-delay systems. 1324–1329. 15 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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