Torsten Söderström

8.8k total citations · 1 hit paper
181 papers, 6.5k citations indexed

About

Torsten Söderström is a scholar working on Control and Systems Engineering, Civil and Structural Engineering and Applied Mathematics. According to data from OpenAlex, Torsten Söderström has authored 181 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 143 papers in Control and Systems Engineering, 60 papers in Civil and Structural Engineering and 33 papers in Applied Mathematics. Recurrent topics in Torsten Söderström's work include Control Systems and Identification (129 papers), Fault Detection and Control Systems (77 papers) and Structural Health Monitoring Techniques (59 papers). Torsten Söderström is often cited by papers focused on Control Systems and Identification (129 papers), Fault Detection and Control Systems (77 papers) and Structural Health Monitoring Techniques (59 papers). Torsten Söderström collaborates with scholars based in Sweden, Romania and Italy. Torsten Söderström's co-authors include Lennart Ljung, Petre Stoica, Umberto Soverini, Kaushik Mahata, Magnus Mossberg, Ivar Gustavsson, Miroslav Ŝimandl, Wei Xing Zheng, Jakub Královec and Hong Mei and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Energy and Buildings.

In The Last Decade

Torsten Söderström

177 papers receiving 6.0k citations

Hit Papers

Theory and Practice of Recursive Identification 1983 2026 1997 2011 1983 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Torsten Söderström Sweden 30 4.2k 1.3k 1.2k 1.1k 1.1k 181 6.5k
T. Söderström Sweden 32 4.8k 1.2× 1.3k 1.0× 1.4k 1.2× 1.0k 1.0× 1.4k 1.3× 152 8.3k
Bo Wahlberg Sweden 31 3.4k 0.8× 552 0.4× 937 0.8× 694 0.6× 575 0.5× 229 4.8k
S.A. Billings United Kingdom 42 4.4k 1.1× 2.5k 1.9× 1.3k 1.1× 486 0.5× 510 0.5× 178 7.6k
Irwin W. Sandberg United States 32 3.1k 0.7× 2.0k 1.5× 334 0.3× 412 0.4× 486 0.5× 222 6.8k
Robert R. Bitmead Australia 36 2.7k 0.6× 756 0.6× 308 0.3× 1.0k 0.9× 773 0.7× 226 4.6k
Naresh K. Sinha Canada 16 5.4k 1.3× 1.4k 1.1× 1.3k 1.1× 592 0.6× 356 0.3× 56 9.1k
Graham C. Goodwin Australia 57 14.9k 3.6× 2.2k 1.7× 958 0.8× 1.3k 1.2× 634 0.6× 558 18.5k
Brett Ninness Australia 30 3.0k 0.7× 708 0.5× 752 0.6× 387 0.4× 225 0.2× 138 3.9k
Håkan Hjalmarsson Sweden 36 6.4k 1.5× 1.2k 0.9× 957 0.8× 558 0.5× 220 0.2× 332 7.8k
Ling Xu China 57 6.5k 1.6× 2.3k 1.8× 1.7k 1.4× 990 0.9× 355 0.3× 136 7.6k

Countries citing papers authored by Torsten Söderström

Since Specialization
Citations

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

Fields of papers citing papers by Torsten Söderström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Torsten Söderström

This figure shows the co-authorship network connecting the top 25 collaborators of Torsten Söderström. A scholar is included among the top collaborators of Torsten Söderström 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 Torsten Söderström. Torsten Söderström 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.
Söderström, Torsten & Umberto Soverini. (2023). Aspects on errors-in-variables identification: Some ways to mitigate a large bias. IFAC-PapersOnLine. 56(2). 4019–4024.
2.
Söderström, Torsten & Umberto Soverini. (2021). When are errors-in-variables aspects particularly important to consider in system identification?. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
3.
Soverini, Umberto & Torsten Söderström. (2018). 2D-frequency domain identification of complex sinusoids in the presence of additive noise. IFAC-PapersOnLine. 51(15). 820–825. 2 indexed citations
4.
Soverini, Umberto & Torsten Söderström. (2017). Frequency domain identification of ARX models in the presence of additive input–output noise. IFAC-PapersOnLine. 50(1). 6226–6231. 3 indexed citations
5.
Söderström, Torsten, Roberto Diversi, & Umberto Soverini. (2014). A unified framework for EIV identification methods when the measurement noises are mutually correlated. Automatica. 50(12). 3216–3223. 12 indexed citations
6.
Söderström, Torsten. (2013). Comparing some classes of bias-compensating least squares methods. Automatica. 49(3). 840–845. 16 indexed citations
7.
Söderström, Torsten, et al.. (2011). Estimation of material functions using system identification techniques. 124–138. 1 indexed citations
8.
Söderström, Torsten, et al.. (2006). USING CONTINUOUS-TIME MODELING FOR ERRORS-IN-VARIABLES IDENTIFICATION. IFAC Proceedings Volumes. 39(1). 428–433. 18 indexed citations
9.
Bhikkaji, Bharath, Kaushik Mahata, & Torsten Söderström. (2004). Reduced order models for a two-dimensional diffusion system. International Journal of Control. 1 indexed citations
10.
Söderström, Torsten & Kaushik Mahata. (2002). On instrumental variable and total least squares approaches for identification of noisy systems. International Journal of Control. 75(6). 381–389. 41 indexed citations
11.
Blanke, Mogens & Torsten Söderström. (1995). System identification (SYSID'94): a postprint volume from the IFAC symposium, Copenhagen, Denmark, 4-6 July 1994. 1 indexed citations
12.
Söderström, Torsten. (1995). Discrete-Time Stochastic Systems: Estimation and Control. Springer eBooks. 146 indexed citations
13.
Lennartson, Bengt & Torsten Söderström. (1989). Investigation of the intersample variance in sampled-data control. International Journal of Control. 50(5). 1587–1602. 12 indexed citations
14.
Stoica, Petre, B. Friedlander, & Torsten Söderström. (1986). Least-squares, Yule-Walker, and overdetermined Yule—Walker estimation of AR parameters: a Monte Carlo analysis of finite-sample properties. International Journal of Control. 43(1). 13–27. 11 indexed citations
15.
Stoica, Petre, P. Eykhoff, Peter H. Janssen, & Torsten Söderström. (1986). Model-structure selection by cross-validation. International Journal of Control. 43(6). 1841–1878. 86 indexed citations
16.
Stoica, Petre & Torsten Söderström. (1981). Asymptotic behaviour of some bootstrap estimators. International Journal of Control. 33(3). 433–454. 23 indexed citations
17.
Söderström, Torsten & Petre Stoica. (1981). On criterion selection and noise model parametrization for prediction-error identification methods. International Journal of Control. 34(4). 801–811. 2 indexed citations
18.
Gustavsson, Ivar, Lennart Ljung, & Torsten Söderström. (1976). Identification of Processes in Closed Loop -- Identifiability and Accuracy Aspects. Lund University Publications (Lund University). 7089. 23–61. 10 indexed citations
19.
Söderström, Torsten. (1973). On the Uniqueness of a Maximum Likelihood Identification for Different Structures. Lund University Publications (Lund University). 7027. 4 indexed citations
20.
Söderström, Torsten. (1973). Test of Common Factors of Identified Models. Application to the Generalized Least Squares Method. Lund University Publications (Lund University). 7035. 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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