Johan U. Backström

445 total citations
27 papers, 307 citations indexed

About

Johan U. Backström is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Johan U. Backström has authored 27 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Control and Systems Engineering, 3 papers in Electrical and Electronic Engineering and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Johan U. Backström's work include Advanced Control Systems Optimization (24 papers), Fault Detection and Control Systems (21 papers) and Control Systems and Identification (12 papers). Johan U. Backström is often cited by papers focused on Advanced Control Systems Optimization (24 papers), Fault Detection and Control Systems (21 papers) and Control Systems and Identification (12 papers). Johan U. Backström collaborates with scholars based in Canada, United States and China. Johan U. Backström's co-authors include Michael G. Forbes, R. Bhushan Gopaluni, Philip D. Loewen, Nathan P. Lawrence, Roscoe Bartlett, Vipin Gopal, Lorenz T. Biegler, Guy A. Dumont, Tongwen Chen and Dawei Shi and has published in prestigious journals such as Industrial & Engineering Chemistry Research, IEEE Transactions on Control Systems Technology and Computers & Chemical Engineering.

In The Last Decade

Johan U. Backström

26 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johan U. Backström Canada 9 258 32 28 27 21 27 307
Radek Matušů Czechia 10 299 1.2× 56 1.8× 31 1.1× 29 1.1× 17 0.8× 79 364
Jobert Ludlage Netherlands 7 246 1.0× 30 0.9× 23 0.8× 11 0.4× 13 0.6× 24 304
Seshu Kumar Damarla Canada 8 152 0.6× 19 0.6× 63 2.3× 9 0.3× 54 2.6× 31 249
Habib Hamdi Tunisia 14 533 2.1× 34 1.1× 53 1.9× 13 0.5× 46 2.2× 34 607
Ji-Woong Lee United States 10 376 1.5× 54 1.7× 24 0.9× 108 4.0× 16 0.8× 49 498
A. Niederliński Poland 6 334 1.3× 30 0.9× 30 1.1× 22 0.8× 42 2.0× 31 401
Weijia Zheng China 12 347 1.3× 105 3.3× 47 1.7× 12 0.4× 42 2.0× 26 420
Zakaria Chalh Morocco 8 212 0.8× 10 0.3× 29 1.0× 21 0.8× 17 0.8× 63 240
Xueqian Wang China 11 296 1.1× 24 0.8× 12 0.4× 12 0.4× 44 2.1× 40 330
Darryl DeHaan Canada 8 546 2.1× 43 1.3× 45 1.6× 60 2.2× 20 1.0× 15 586

Countries citing papers authored by Johan U. Backström

Since Specialization
Citations

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

Fields of papers citing papers by Johan U. Backström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johan U. Backström. 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 Johan U. Backström. The network helps show where Johan U. Backström may publish in the future.

Co-authorship network of co-authors of Johan U. Backström

This figure shows the co-authorship network connecting the top 25 collaborators of Johan U. Backström. A scholar is included among the top collaborators of Johan U. Backström 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 Johan U. Backström. Johan U. Backström 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.
Lawrence, Nathan P., et al.. (2022). Meta-reinforcement learning for the tuning of PI controllers: An offline approach. Journal of Process Control. 118. 139–152. 27 indexed citations
2.
Lawrence, Nathan P., et al.. (2022). Deep reinforcement learning with shallow controllers: An experimental application to PID tuning. Control Engineering Practice. 121. 105046–105046. 73 indexed citations
3.
Lu, Qiugang, Michael G. Forbes, Philip D. Loewen, et al.. (2021). Model-plant mismatch detection for cross-directional processes. ISA Transactions. 117. 150–159. 1 indexed citations
4.
Lawrence, Nathan P., Philip D. Loewen, Michael G. Forbes, Johan U. Backström, & R. Bhushan Gopaluni. (2020). Almost Surely Stable Deep Dynamics. Figshare. 33. 18942–18953. 2 indexed citations
5.
Lu, Qiugang, Michael G. Forbes, Philip D. Loewen, et al.. (2019). Support vector machine approach for model-plant mismatch detection. Computers & Chemical Engineering. 133. 106660–106660. 8 indexed citations
6.
Lu, Qiugang, et al.. (2019). Machine Direction Adaptive Control on a Paper Machine. Industrial & Engineering Chemistry Research. 58(26). 11452–11473. 5 indexed citations
7.
Shi, Dawei, et al.. (2016). Robust tuning for machine-directional predictive control of MIMO paper-making processes. Control Engineering Practice. 55. 1–12. 12 indexed citations
8.
Lu, Qiugang, R. Bhushan Gopaluni, Philip D. Loewen, et al.. (2015). Detecting model-plant mismatch without external excitation. 4976–4981. 2 indexed citations
9.
Lu, Qiugang, R. Bhushan Gopaluni, Michael G. Forbes, et al.. (2015). Cross-directional controller performance monitoring for paper machines. 145. 4970–4975. 4 indexed citations
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11.
Shi, Dawei, Jiadong Wang, Michael G. Forbes, Johan U. Backström, & Tongwen Chen. (2015). Robust Tuning of Machine Directional Predictive Control of Paper Machines. Industrial & Engineering Chemistry Research. 54(15). 3904–3918. 10 indexed citations
12.
Shi, Dawei, et al.. (2015). Automated Two-Degree-of-Freedom Model Predictive Control Tuning. Industrial & Engineering Chemistry Research. 54(43). 10811–10824. 5 indexed citations
13.
Forbes, Michael G., et al.. (2015). Moving-Horizon Predictive Input Design for Closed-Loop Identification. IFAC-PapersOnLine. 48(8). 135–140. 3 indexed citations
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Gheorghe, Cristian, et al.. (2011). Online CD Performance Monitoring and Automatic Alignment Correction. 1 indexed citations
18.
Chu, S., et al.. (2010). Multivariable Control and Energy Optimization of Tissue Machines.
19.
Stewart, G.E., et al.. (2005). Approximate steady-state performance prediction of large-scale constrained model predictive control systems. IEEE Transactions on Control Systems Technology. 13(6). 884–895. 11 indexed citations
20.
Dumont, Guy A., et al.. (2003). Dual adaptive control of paper coating. IEEE Transactions on Control Systems Technology. 11(3). 289–309. 10 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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