Thomas B. Schön

9.8k total citations · 3 hit papers
204 papers, 5.6k citations indexed

About

Thomas B. Schön is a scholar working on Artificial Intelligence, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Thomas B. Schön has authored 204 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Artificial Intelligence, 71 papers in Control and Systems Engineering and 41 papers in Aerospace Engineering. Recurrent topics in Thomas B. Schön's work include Target Tracking and Data Fusion in Sensor Networks (78 papers), Control Systems and Identification (45 papers) and Fault Detection and Control Systems (44 papers). Thomas B. Schön is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (78 papers), Control Systems and Identification (45 papers) and Fault Detection and Control Systems (44 papers). Thomas B. Schön collaborates with scholars based in Sweden, Australia and United Kingdom. Thomas B. Schön's co-authors include Fredrik Gustafsson, Jeroen D. Hol, Manon Kok, Adrian Wills, Brett Ninness, Fredrik Lindsten, P.-J. Nordlund, Lennart Ljung, Antônio H. Ribeiro and Carl R. Andersson and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Thomas B. Schön

191 papers receiving 5.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Annotated 12 lead ECG dataset

2020 534 citations Antônio H. Ribeiro, Derick M. Oliveira et al. Figshare profile →
Marginalized particle filters for mixed linear/nonlinear state-space models

2005 476 citations Thomas B. Schön, Fredrik Gustafsson et al. IEEE Transactions on Signal Processing profile →
System identification of nonlinear state-space models

2010 389 citations Thomas B. Schön, Adrian Wills et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas B. Schön Sweden	32	2.2k	1.5k	1.4k	1.0k	712	204	5.6k
Simo Särkkä Finland	31	3.1k 1.4×	1.4k 0.9×	1.3k 1.0×	802 0.8×	439 0.6×	162	5.4k
Zhiping Lin Singapore	42	2.5k 1.2×	1.3k 0.9×	391 0.3×	887 0.9×	1.8k 2.5×	392	7.1k
Yuriy S. Shmaliy Mexico	36	1.8k 0.8×	1.5k 1.0×	856 0.6×	1.4k 1.3×	355 0.5×	245	4.1k
Abdelhak M. Zoubir Germany	42	1.2k 0.6×	651 0.4×	1.8k 1.3×	1.6k 1.5×	552 0.8×	509	6.5k
Eric A. Wan United States	26	3.6k 1.6×	1.8k 1.2×	2.4k 1.7×	1.5k 1.5×	844 1.2×	59	7.0k
Michael J. Korenberg Canada	28	985 0.4×	1.4k 0.9×	774 0.6×	735 0.7×	315 0.4×	140	4.0k
Jonathon A. Chambers United Kingdom	38	1.3k 0.6×	618 0.4×	627 0.5×	2.1k 2.1×	556 0.8×	317	6.6k
Miodrag Bolić Canada	31	1.0k 0.5×	402 0.3×	567 0.4×	867 0.8×	462 0.6×	194	3.7k
K. Khorasani Canada	54	1.4k 0.6×	6.5k 4.3×	853 0.6×	1.0k 1.0×	312 0.4×	433	9.5k
Türker İnce Türkiye	30	1.2k 0.6×	1.7k 1.1×	236 0.2×	789 0.8×	573 0.8×	84	7.4k

Countries citing papers authored by Thomas B. Schön

Since Specialization

Citations

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

Fields of papers citing papers by Thomas B. Schön

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas B. Schön. 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 Thomas B. Schön. The network helps show where Thomas B. Schön may publish in the future.

Co-authorship network of co-authors of Thomas B. Schön

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas B. Schön. A scholar is included among the top collaborators of Thomas B. Schön 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 Thomas B. Schön. Thomas B. Schön is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhao, Zheng, Ziwei Luo, Jens Sjölund, & Thomas B. Schön. (2025). Conditional sampling within generative diffusion models. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 383(2299). 20240329–20240329. 1 indexed citations

Luo, Ziwei, et al.. (2025). Taming diffusion models for image restoration: a review. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 383(2299). 20240358–20240358. 3 indexed citations

Baumann, Dominik & Thomas B. Schön. (2024). Safe Reinforcement Learning in Uncertain Contexts. IEEE Transactions on Robotics. 40. 1828–1841.

Schön, Thomas B., et al.. (2023). Guarantees for data-driven control of nonlinear systems using semidefinite programming: A survey. Annual Reviews in Control. 56. 100911–100911. 30 indexed citations

Baumann, Dominik & Thomas B. Schön. (2023). On the trade-off between event-based and periodic state estimation under bandwidth constraints. IFAC-PapersOnLine. 56(2). 5275–5280.

Schön, Thomas B., Cláudia Di Lorenzo Oliveira, Clareci Silva Cardoso, et al.. (2023). Screening for Chagas disease from the electrocardiogram using a deep neural network. PLoS neglected tropical diseases. 17(7). e0011118–e0011118. 5 indexed citations

Ribeiro, Antônio H. & Thomas B. Schön. (2023). Overparameterized Linear Regression Under Adversarial Attacks. IEEE Transactions on Signal Processing. 71. 601–614. 5 indexed citations

Wills, Adrian, et al.. (2023). Inferring the probability distribution over strain tensors in polycrystals from diffraction based measurements. Computer Methods in Applied Mechanics and Engineering. 417. 116417–116417.

Ribeiro, Antônio H., et al.. (2023). Invertible Kernel PCA With Random Fourier Features. IEEE Signal Processing Letters. 30. 563–567. 8 indexed citations

10.

Wills, Adrian, et al.. (2022). Smoothed State Estimation via Efficient Solution of Linear Equations. IEEE Transactions on Automatic Control. 68(10). 5877–5889. 2 indexed citations

11.

Sprečo, Armin, Örjan Dahlström, Anna Jöud, et al.. (2022). Effectiveness of the BNT162b2 mRNA Vaccine Compared with Hybrid Immunity in Populations Prioritized and Non-Prioritized for COVID-19 Vaccination in 2021–2022: A Naturalistic Case-Control Study in Sweden. Vaccines. 10(8). 1273–1273. 1 indexed citations

12.

Lima, Emilly M., Antônio H. Ribeiro, Gabriela Paixão, et al.. (2021). Deep neural network-estimated electrocardiographic age as a mortality predictor. Nature Communications. 12(1). 5117–5117. 129 indexed citations

13.

Ronquist, Fredrik, Viktor Senderov, Johannes Borgström, et al.. (2021). Publisher Correction: Universal probabilistic programming offers a powerful approach to statistical phylogenetics. Communications Biology. 4(1). 354–354.

14.

Ribeiro, Antônio H., Derick M. Oliveira, Paulo R. Gomes, et al.. (2020). Annotated 12 lead ECG dataset. Figshare. 534 indexed citations breakdown →

15.

Jönsson, Daniel, et al.. (2020). Direct Transmittance Estimation in Heterogeneous Participating Media Using Approximated Taylor Expansions. IEEE Transactions on Visualization and Computer Graphics. 28(7). 2602–2614. 4 indexed citations

16.

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

17.

Hjalmarsson, Håkan, et al.. (2019). Learning Robust LQ-Controllers Using Application Oriented Exploration. IEEE Control Systems Letters. 4(1). 19–24. 23 indexed citations

18.

Ribeiro, Antônio H., Koen Tiels, Luís A. Aguirre, & Thomas B. Schön. (2019). The trade-off between long-term memory and smoothness for recurrent networks.. arXiv (Cornell University). 1 indexed citations

19.

Lindsten, Fredrik, et al.. (2015). Quasi-Newton particle Metropolis-Hastings. IFAC-PapersOnLine. 48(28). 981–986. 2 indexed citations

20.

Kok, Manon, Jeroen D. Hol, Thomas B. Schön, Fredrik Gustafsson, & Henk Luinge. (2012). Calibration of a magnetometer in combination with inertial sensors. KTH Publication Database DiVA (KTH Royal Institute of Technology). 787–793. 64 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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