Fredrik Lindsten

2.3k total citations
63 papers, 1.1k citations indexed

About

Fredrik Lindsten is a scholar working on Artificial Intelligence, Control and Systems Engineering and Statistics and Probability. According to data from OpenAlex, Fredrik Lindsten has authored 63 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 22 papers in Control and Systems Engineering and 20 papers in Statistics and Probability. Recurrent topics in Fredrik Lindsten's work include Target Tracking and Data Fusion in Sensor Networks (27 papers), Gaussian Processes and Bayesian Inference (26 papers) and Bayesian Methods and Mixture Models (17 papers). Fredrik Lindsten is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (27 papers), Gaussian Processes and Bayesian Inference (26 papers) and Bayesian Methods and Mixture Models (17 papers). Fredrik Lindsten collaborates with scholars based in Sweden, United Kingdom and United States. Fredrik Lindsten's co-authors include Thomas B. Schön, Michael I. Jordan, Henrik Ohlsson, Lennart Ljung, Fredrik Gustafsson, Christian A. Naesseth, Carsten Fritsche, Emre Özkan, Carl Edward Rasmussen and Andreas Svensson and has published in prestigious journals such as Nature Communications, Journal of the American Statistical Association and Automatica.

In The Last Decade

Fredrik Lindsten

59 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fredrik Lindsten Sweden 19 637 341 143 96 93 63 1.1k
Jouni Hartikainen Finland 11 602 0.9× 268 0.8× 60 0.4× 39 0.4× 53 0.6× 16 883
Manuel Davy France 22 810 1.3× 268 0.8× 125 0.9× 252 2.6× 90 1.0× 57 1.5k
Anthony Quinn Ireland 13 382 0.6× 140 0.4× 37 0.3× 98 1.0× 52 0.6× 54 698
Vladislav B. Tadić United Kingdom 12 484 0.8× 287 0.8× 109 0.8× 29 0.3× 48 0.5× 43 784
Jian Lan China 20 923 1.4× 262 0.8× 43 0.3× 125 1.3× 62 0.7× 109 1.3k
Václav Šmídl Czechia 18 342 0.5× 431 1.3× 35 0.2× 119 1.2× 42 0.5× 139 1.3k
Yuxin Zhao China 15 332 0.5× 699 2.0× 27 0.2× 87 0.9× 70 0.8× 90 1.2k
Dimitris Tzikas Greece 6 302 0.5× 114 0.3× 38 0.3× 162 1.7× 46 0.5× 9 868
L.B. White Australia 17 343 0.5× 237 0.7× 30 0.2× 109 1.1× 162 1.7× 111 1.1k
Emmanuel Duflos France 14 391 0.6× 90 0.3× 52 0.4× 103 1.1× 38 0.4× 40 896

Countries citing papers authored by Fredrik Lindsten

Since Specialization
Citations

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

Fields of papers citing papers by Fredrik Lindsten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fredrik Lindsten

This figure shows the co-authorship network connecting the top 25 collaborators of Fredrik Lindsten. A scholar is included among the top collaborators of Fredrik Lindsten 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 Fredrik Lindsten. Fredrik Lindsten 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.
Lindsten, Fredrik, et al.. (2025). Improved Contrastive Predictive Coding for Time Series Out-Of-Distribution Detection Applied to Human Activity Data. Pattern Recognition Letters. 197. 132–138.
2.
Naesseth, Christian A., Fredrik Lindsten, & Thomas B. Schön. (2019). High-Dimensional Filtering Using Nested Sequential Monte Carlo. KTH Publication Database DiVA (KTH Royal Institute of Technology). 13 indexed citations
3.
Calafat, Francisco M., Thomas Wahl, Fredrik Lindsten, Joanne Williams, & Eleanor Frajka‐Williams. (2018). Coherent modulation of the sea-level annual cycle in the United States by Atlantic Rossby waves. Nature Communications. 9(1). 2571–2571. 49 indexed citations
4.
Lindsten, Fredrik, et al.. (2015). Quasi-Newton particle Metropolis-Hastings. IFAC-PapersOnLine. 48(28). 981–986. 2 indexed citations
5.
6.
Bunch, Pete, Fredrik Lindsten, & Sumeetpal S. Singh. (2015). Particle Gibbs with refreshed backward simulation. 39. 4115–4119.
7.
Naesseth, Christian A., Fredrik Lindsten, & Thomas B. Schön. (2015). Nested Sequential Monte Carlo Methods. arXiv (Cornell University). 37. 1292–1301. 12 indexed citations
8.
Naesseth, Christian A., et al.. (2014). Sequential Monte Carlo methods for graphical models. arXiv (Cornell University). 2 indexed citations
9.
Lindsten, Fredrik, Michael I. Jordan, & Thomas B. Schön. (2014). Particle gibbs with ancestor sampling. Journal of Machine Learning Research. 15(1). 2145–2184. 67 indexed citations
10.
Özkan, Emre, Fredrik Lindsten, Carsten Fritsche, & Fredrik Gustafsson. (2014). Recursive Maximum Likelihood Identification of Jump Markov Nonlinear Systems. IEEE Transactions on Signal Processing. 63(3). 754–765. 62 indexed citations
11.
Lindsten, Fredrik, et al.. (2014). Second-order particle MCMC for Bayesian parameter inference. IFAC Proceedings Volumes. 47(3). 8656–8661. 6 indexed citations
12.
Gunnarsson, Fredrik, et al.. (2014). Particle Filtering for Network-Based Positioning Terrestrial Radio Networks. 1.2–1.2. 11 indexed citations
13.
Lindsten, Fredrik, et al.. (2013). Backward Simulation Methods for Monte Carlo Statistical Inference. 6(1). 1–143. 83 indexed citations
14.
Lindsten, Fredrik. (2013). Particle filters and Markov chains for learning of dynamical systems. Linköping University Electronic Press eBooks. 32 indexed citations
15.
Taghavi, Ehsan, Fredrik Lindsten, Lennart Svensson, & Thomas B. Schön. (2013). Adaptive stopping for fast particle smoothing. KTH Publication Database DiVA (KTH Royal Institute of Technology). 6293–6297. 18 indexed citations
16.
Lindsten, Fredrik, et al.. (2012). Hierarchical Bayesian ARX models for robust inference. IFAC Proceedings Volumes. 45(16). 131–136. 8 indexed citations
17.
Lindsten, Fredrik & Thomas B. Schön. (2011). Ecient Particle Markov Chain Monte Carlo { Bayesian inference with a couple of particles. arXiv (Cornell University). 1 indexed citations
18.
Lindsten, Fredrik, Henrik Ohlsson, & Lennart Ljung. (2011). Clustering using sum-of-norms regularization: With application to particle filter output computation. 201–204. 55 indexed citations
19.
Lindsten, Fredrik, Thomas B. Schön, & Jimmy Olsson. (2011). An explicit variance reduction expression for the Rao-Blackwellised particle filter. IFAC Proceedings Volumes. 44(1). 11979–11984. 15 indexed citations
20.
Lindsten, Fredrik & Thomas B. Schön. (2010). Maximum Likelihood Estimation in Mixed Linear/Nonlinear State-Space Models. KTH Publication Database DiVA (KTH Royal Institute of Technology). 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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