Johannes Jäschke

1.8k total citations
97 papers, 1.2k citations indexed

About

Johannes Jäschke is a scholar working on Control and Systems Engineering, Ocean Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Johannes Jäschke has authored 97 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Control and Systems Engineering, 18 papers in Ocean Engineering and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Johannes Jäschke's work include Advanced Control Systems Optimization (54 papers), Fault Detection and Control Systems (37 papers) and Process Optimization and Integration (23 papers). Johannes Jäschke is often cited by papers focused on Advanced Control Systems Optimization (54 papers), Fault Detection and Control Systems (37 papers) and Process Optimization and Integration (23 papers). Johannes Jäschke collaborates with scholars based in Norway, United States and Germany. Johannes Jäschke's co-authors include Timur Bikmukhametov, Sigurd Skogestad, Lorenz T. Biegler, Vidar Alstad, Yang Xue, Yi Cao, Vinay Kariwala, Vyacheslav Kungurtsev, Dinesh Krishnamoorthy and E. Gerdau and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Physical Review A.

In The Last Decade

Johannes Jäschke

88 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johannes Jäschke Norway 17 592 244 158 142 111 97 1.2k
Yinghui Li China 17 78 0.1× 136 0.6× 78 0.5× 257 1.8× 374 3.4× 84 1.1k
Dong Zhang China 15 260 0.4× 55 0.2× 327 2.1× 200 1.4× 91 0.8× 85 852
Ramin Bozorgmehry Boozarjomehry Iran 16 261 0.4× 253 1.0× 296 1.9× 146 1.0× 74 0.7× 70 1.0k
Yang‐Yang Chen China 23 643 1.1× 107 0.4× 81 0.5× 117 0.8× 88 0.8× 138 1.5k
Huajun Zhang China 17 177 0.3× 272 1.1× 195 1.2× 166 1.2× 84 0.8× 102 1.0k
Xueqin Li China 20 76 0.1× 51 0.2× 293 1.9× 82 0.6× 73 0.7× 70 1.2k
Enrico Corniani Belgium 10 88 0.1× 45 0.2× 116 0.7× 134 0.9× 41 0.4× 16 612
Xiaoxiang Zhu China 12 247 0.4× 22 0.1× 174 1.1× 36 0.3× 42 0.4× 36 619

Countries citing papers authored by Johannes Jäschke

Since Specialization
Citations

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

Fields of papers citing papers by Johannes Jäschke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johannes Jäschke

This figure shows the co-authorship network connecting the top 25 collaborators of Johannes Jäschke. A scholar is included among the top collaborators of Johannes Jäschke 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 Johannes Jäschke. Johannes Jäschke 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.
Jäschke, Johannes, et al.. (2025). Bounding-focused discretization methods for the global optimization of nonconvex semi-infinite programs. Computational Optimization and Applications. 92(3). 1035–1068.
2.
Jäschke, Johannes, et al.. (2024). A simple and fast robust nonlinear model predictive control heuristic using n-steps-ahead uncertainty predictions for back-off calculations. Journal of Process Control. 141. 103270–103270. 4 indexed citations
3.
Alstad, Vidar, et al.. (2024). Design and operational analysis of an alkaline water electrolysis plant powered by wind energy. International Journal of Hydrogen Energy. 93. 963–974. 7 indexed citations
4.
Skogestad, Sigurd, et al.. (2024). Model Predictive Control for Bottleneck Isolation with Unmeasured Faults. IFAC-PapersOnLine. 58(14). 767–774.
5.
Jäschke, Johannes, et al.. (2024). Integration of time scales in health-aware control. IFAC-PapersOnLine. 58(14). 222–227. 1 indexed citations
6.
Jäschke, Johannes, et al.. (2024). A simple constraint-switching control structure for flexible operation of an alkaline water electrolyzer. IFAC-PapersOnLine. 58(14). 706–711.
7.
Jäschke, Johannes, et al.. (2024). Robust PID controller tuning using bilevel optimization. IFAC-PapersOnLine. 58(7). 316–321. 1 indexed citations
8.
9.
Jäschke, Johannes, et al.. (2023). Steady-state real-time optimization using transient measurements and approximated Hammerstein dynamic model: A proof of concept in an experimental rig. Journal of Process Control. 132. 103111–103111. 7 indexed citations
10.
Jäschke, Johannes, et al.. (2023). Superstructure optimization of subsea processing layouts. Journal of Petroleum Exploration and Production Technology. 13(7). 1575–1589. 4 indexed citations
11.
Jäschke, Johannes, et al.. (2023). A regularized Moving Horizon Estimator for combined state and parameter estimation in a bioprocess experimental application. Computers & Chemical Engineering. 172. 108183–108183. 5 indexed citations
12.
Jäschke, Johannes, et al.. (2021). Sensitivity-Assisted multistage nonlinear model predictive control: Robustness, stability and computational efficiency. Computers & Chemical Engineering. 148. 107269–107269. 18 indexed citations
13.
Jäschke, Johannes, et al.. (2021). Gibbs sampler for noisy Transformed Gamma process: Inference and remaining useful life estimation. Reliability Engineering & System Safety. 217. 108084–108084. 27 indexed citations
14.
Bikmukhametov, Timur & Johannes Jäschke. (2019). Oil Production Monitoring using Gradient Boosting Machine Learning Algorithm. IFAC-PapersOnLine. 52(1). 514–519. 72 indexed citations
15.
Krishnamoorthy, Dinesh, et al.. (2019). Data-driven Online Adaptation of the Scenario-tree in Multistage Model Predictive Control. IFAC-PapersOnLine. 52(1). 461–467. 9 indexed citations
16.
Jäschke, Johannes, et al.. (2015). Optimal operation of energy storage in buildings: Use of the hot water system. Journal of Energy Storage. 5. 102–112. 10 indexed citations
17.
Jäschke, Johannes & Sigurd Skogestad. (2013). Using Process Data for Finding Self-optimizing Controlled Variables. IFAC Proceedings Volumes. 46(32). 451–456. 9 indexed citations
18.
Jäschke, Johannes & Sigurd Skogestad. (2011). Optimal controlled variables for polynomial systems. Journal of Process Control. 22(1). 167–179. 21 indexed citations
19.
Dobos, László, Johannes Jäschke, János Abonyi, & Sigurd Skogestad. (2009). DYNAMIC MODEL AND CONTROL OF HEAT EXCHANGER NETWORKS FOR DISTRICT HEATING. Hungarian Journal of Industry and Chemistry. 37(1). 14 indexed citations
20.
Shvyd’ko, Yuri, M. Lerche, Johannes Jäschke, et al.. (2000). γ-Ray Wavelength Standard for Atomic Scales. Physical Review Letters. 85(3). 495–498. 31 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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