Jan-Peter Calliess

523 total citations
24 papers, 272 citations indexed

About

Jan-Peter Calliess is a scholar working on Control and Systems Engineering, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Jan-Peter Calliess has authored 24 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Control and Systems Engineering, 6 papers in Artificial Intelligence and 6 papers in Management Science and Operations Research. Recurrent topics in Jan-Peter Calliess's work include Fault Detection and Control Systems (11 papers), Advanced Control Systems Optimization (11 papers) and Control Systems and Identification (11 papers). Jan-Peter Calliess is often cited by papers focused on Fault Detection and Control Systems (11 papers), Advanced Control Systems Optimization (11 papers) and Control Systems and Identification (11 papers). Jan-Peter Calliess collaborates with scholars based in United Kingdom, Spain and United States. Jan-Peter Calliess's co-authors include Daniel Limón, J.M. Maciejowski, David Muñoz de la Peña, Stefan Zohren, Jie Yang, Uwe D. Hanebeck, Daniel Lyons, Xiaowen Dong, Daniel Kaiser and Amir Amel‐Zadeh and has published in prestigious journals such as IEEE Transactions on Automatic Control, Scientific Reports and Automatica.

In The Last Decade

Jan-Peter Calliess

24 papers receiving 260 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan-Peter Calliess United Kingdom 8 178 49 41 23 19 24 272
Bart P. G. Van Parys United States 7 112 0.6× 31 0.6× 97 2.4× 10 0.4× 41 2.2× 16 260
Yuzhu Tian China 10 58 0.3× 95 1.9× 21 0.5× 12 0.5× 14 0.7× 46 341
You Li China 9 52 0.3× 26 0.5× 50 1.2× 7 0.3× 14 0.7× 27 233
Oscar Dowson United States 7 65 0.4× 19 0.4× 69 1.7× 19 0.8× 124 6.5× 15 291
Zhensheng Huang China 11 48 0.3× 57 1.2× 20 0.5× 30 1.3× 3 0.2× 76 385
Martha Pulido Mexico 7 30 0.2× 126 2.6× 80 2.0× 13 0.6× 44 2.3× 19 213
Shengli Shi China 10 121 0.7× 24 0.5× 4 0.1× 79 3.4× 25 1.3× 30 304
Jaein Choi United States 7 91 0.5× 16 0.3× 61 1.5× 6 0.3× 6 0.3× 14 180

Countries citing papers authored by Jan-Peter Calliess

Since Specialization
Citations

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

Fields of papers citing papers by Jan-Peter Calliess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan-Peter Calliess. 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 Jan-Peter Calliess. The network helps show where Jan-Peter Calliess may publish in the future.

Co-authorship network of co-authors of Jan-Peter Calliess

This figure shows the co-authorship network connecting the top 25 collaborators of Jan-Peter Calliess. A scholar is included among the top collaborators of Jan-Peter Calliess 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 Jan-Peter Calliess. Jan-Peter Calliess 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.
Calliess, Jan-Peter, et al.. (2024). Load Profile Forecasting of Small and Medium-sized Businesses For Flexibility Programs. 1–5. 1 indexed citations
2.
Calliess, Jan-Peter, et al.. (2023). Asynchronous Deep Double Dueling Q-learning for trading-signal execution in limit order book markets. Frontiers in Artificial Intelligence. 6. 4 indexed citations
3.
Cucuringu, Mihai, et al.. (2023). Multireference Alignment for Lead-Lag Detection in Multivariate Time Series and Equity Trading. SSRN Electronic Journal. 1 indexed citations
4.
Calliess, Jan-Peter, et al.. (2023). Time-Series Clustering Of UK Non-domestic Consumers For Demand Response Aggregators. 3. 1–5. 1 indexed citations
5.
Yang, Jie, et al.. (2021). Sentiment correlation in financial news networks and associated market movements. Scientific Reports. 11(1). 3062–3062. 34 indexed citations
6.
Calliess, Jan-Peter, et al.. (2020). Online learning robust MPC: an exploration-exploitation approach. IFAC-PapersOnLine. 53(2). 5292–5297. 4 indexed citations
7.
Amel‐Zadeh, Amir, Jan-Peter Calliess, Daniel Kaiser, & Stephen Roberts. (2020). Machine Learning-Based Financial Statement Analysis. SSRN Electronic Journal. 15 indexed citations
8.
Limón, Daniel, et al.. (2020). Robust learning-based MPC for nonlinear constrained systems. Automatica. 117. 108948–108948. 62 indexed citations
9.
Peña, David Muñoz de la, et al.. (2020). Online learning constrained model predictive control based on double prediction. International Journal of Robust and Nonlinear Control. 31(18). 8813–8829. 2 indexed citations
10.
Laurenti, Luca, Andrea Patanè, Jan-Peter Calliess, et al.. (2020). Safety Guarantees for Iterative Predictions with Gaussian Processes. Oxford University Research Archive (ORA) (University of Oxford). 3187–3193. 2 indexed citations
11.
Limón, Daniel, et al.. (2019). Data-based Robust MPC with Componentwise Hölder Kinky Inference. 6449–6454. 3 indexed citations
12.
Limón, Daniel, et al.. (2019). Localised Kinky Inference. 985–992. 3 indexed citations
13.
Calliess, Jan-Peter, et al.. (2019). Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation. arXiv (Cornell University). 253–262. 7 indexed citations
14.
Limón, Daniel, et al.. (2018). Robust Data-Based Model Predictive Control for Nonlinear Constrained Systems. IFAC-PapersOnLine. 51(20). 505–510. 12 indexed citations
15.
Calliess, Jan-Peter, Stephen Roberts, Carl Edward Rasmussen, & J.M. Maciejowski. (2018). Nonlinear Set Membership Regression with Adaptive Hyper-Parameter Estimation for Online Learning and Control. Apollo (University of Cambridge). 1–6. 3 indexed citations
16.
Calliess, Jan-Peter. (2017). Lipschitz optimisation for Lipschitz Interpolation. 3141–3146. 18 indexed citations
18.
Limón, Daniel, Jan-Peter Calliess, & J.M. Maciejowski. (2017). Learning-based Nonlinear Model Predictive Control. IFAC-PapersOnLine. 50(1). 7769–7776. 41 indexed citations
19.
Calliess, Jan-Peter, Michael A. Osborne, & Stephen Roberts. (2014). Conservative collision prediction and avoidance for stochastic trajectories in continuous time and space. Adaptive Agents and Multi-Agents Systems. 1109–1116. 2 indexed citations
20.
Calliess, Jan-Peter, et al.. (2012). Towards optimization-based multi-agent collision-avoidance under continuous stochastic dynamics. Cambridge University Engineering Department Publications Database. 1 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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