Simo Särkkä

8.6k total citations · 4 hit papers
162 papers, 5.4k citations indexed

About

Simo Särkkä is a scholar working on Artificial Intelligence, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Simo Särkkä has authored 162 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Artificial Intelligence, 40 papers in Control and Systems Engineering and 22 papers in Aerospace Engineering. Recurrent topics in Simo Särkkä's work include Target Tracking and Data Fusion in Sensor Networks (82 papers), Gaussian Processes and Bayesian Inference (46 papers) and Fault Detection and Control Systems (24 papers). Simo Särkkä is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (82 papers), Gaussian Processes and Bayesian Inference (46 papers) and Fault Detection and Control Systems (24 papers). Simo Särkkä collaborates with scholars based in Finland, United Kingdom and Sweden. Simo Särkkä's co-authors include Jouni Hartikainen, Aapo Nummenmaa, Arno Solin, Aki Vehtari, Lennart Svensson, Jouko Lampinen, Ángel F. García‐Fernández, Robert Piché, Chi Hay Tong and Roland Hostettler and has published in prestigious journals such as NeuroImage, IEEE Transactions on Automatic Control and IEEE Transactions on Signal Processing.

In The Last Decade

Simo Särkkä

151 papers receiving 5.2k citations

Hit Papers

Bayesian Filtering and Smoothing 2007 2026 2013 2019 2013 2009 2007 2023 400 800 1.2k
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.

  1. Bayesian Filtering and Smoothing
    2013 1.2k citations Simo Särkkä profile →
  2. Recursive Noise Adaptive Kalman Filtering by Variational Bayesian Approximations
    2009 535 citations Simo Särkkä et al. IEEE Transactions on Automatic Control profile →
  3. On Unscented Kalman Filtering for State Estimation of Continuous-Time Nonlinear Systems
    2007 406 citations Simo Särkkä IEEE Transactions on Automatic Control profile →
  4. Bayesian Filtering and Smoothing
    2023 101 citations Simo Särkkä et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simo Särkkä Finland 31 3.1k 1.4k 1.3k 802 550 162 5.4k
Thomas B. Schön Sweden 32 2.2k 0.7× 1.5k 1.1× 1.4k 1.0× 1.0k 1.3× 330 0.6× 204 5.6k
Uwe D. Hanebeck Germany 33 3.4k 1.1× 1.5k 1.1× 1.5k 1.2× 873 1.1× 1.0k 1.9× 491 5.9k
Rudolph van der Merwe United States 14 3.5k 1.1× 1.7k 1.2× 2.4k 1.8× 1.3k 1.6× 501 0.9× 17 6.4k
Sanjeev Arulampalam Australia 20 2.6k 0.8× 639 0.5× 1.2k 0.9× 699 0.9× 697 1.3× 64 3.6k
Yonggang Zhang China 39 4.0k 1.3× 1.4k 1.0× 2.1k 1.6× 1.1k 1.4× 796 1.4× 300 6.3k
David Salmond United Kingdom 16 4.3k 1.4× 1.2k 0.9× 1.6k 1.2× 936 1.2× 857 1.6× 38 6.6k
Eric A. Wan United States 26 3.6k 1.1× 1.8k 1.3× 2.4k 1.8× 1.5k 1.9× 590 1.1× 59 7.0k
Ienkaran Arasaratnam Canada 15 3.1k 1.0× 1.2k 0.9× 1.9k 1.4× 918 1.1× 581 1.1× 20 4.1k
Yulong Huang China 36 3.2k 1.0× 1.2k 0.9× 1.9k 1.4× 807 1.0× 599 1.1× 141 4.6k
Mohinder S. Grewal United States 17 2.0k 0.6× 1.3k 0.9× 2.5k 1.9× 1.2k 1.4× 458 0.8× 38 5.4k

Countries citing papers authored by Simo Särkkä

Since Specialization
Citations

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

Fields of papers citing papers by Simo Särkkä

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simo Särkkä

This figure shows the co-authorship network connecting the top 25 collaborators of Simo Särkkä. A scholar is included among the top collaborators of Simo Särkkä 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 Simo Särkkä. Simo Särkkä 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.
Iqbal, Muhammad Waqas, et al.. (2025). Communication-Efficient Distributed Kalman Filtering Using ADMM. IEEE Transactions on Automatic Control. 71(3). 1916–1923.
2.
Särkkä, Simo, et al.. (2025). A Parallel-in-Time Newton’s Method for Nonlinear Model Predictive Control. IEEE Transactions on Control Systems Technology. 34(1). 509–516.
3.
Särkkä, Simo, et al.. (2024). Rao–Blackwellized Particle Filter Using Noise Adaptive Kalman Filter for Fully Mixing State-Space Models. IEEE Transactions on Aerospace and Electronic Systems. 60(5). 6972–6982. 2 indexed citations
4.
Zhao, Zheng, et al.. (2023). Gaussian-Based Parametric Bijections for Automatic Projection Filters. IEEE Transactions on Automatic Control. 69(5). 3449–3456. 3 indexed citations
5.
Särkkä, Simo, et al.. (2023). Deep Learning Based Projection Domain Metal Segmentation for Metal Artifact Reduction in Cone Beam Computed Tomography. IEEE Access. 11. 100371–100382. 5 indexed citations
6.
Arvonen, Miika, et al.. (2023). Joint Use of a Low Thermal Resolution Thermal Camera and an RGB Camera for Respiration Measurement. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 2 indexed citations
7.
Zhao, Zheng, Simo Särkkä, Jens Sjölund, & Thomas B. Schön. (2023). Probabilistic Estimation of Instantaneous Frequencies of Chirp Signals. IEEE Transactions on Signal Processing. 71. 461–476. 2 indexed citations
8.
Särkkä, Simo, et al.. (2023). Fourier–Hermite Dynamic Programming for Optimal Control. IEEE Transactions on Automatic Control. 68(10). 6377–6384. 3 indexed citations
9.
Särkkä, Simo, et al.. (2023). Fast Dynamic Programming in Trees in the MPC Model. Aaltodoc (Aalto University). 443–453.
10.
Zhao, Zheng, et al.. (2022). Multidimensional projection filters via automatic differentiation and sparse-grid integration. Signal Processing. 204. 108832–108832. 4 indexed citations
11.
Särkkä, Simo, et al.. (2021). Temporal Parallelization of Inference in Hidden Markov Models. IEEE Transactions on Signal Processing. 69. 4875–4887. 7 indexed citations
12.
Särkkä, Simo, et al.. (2020). Enhancing industrial X-ray tomography by data-centric statistical methods. University of Oulu Repository (University of Oulu). 4 indexed citations
13.
Thombre, Sarang, et al.. (2020). Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review. IEEE Transactions on Intelligent Transportation Systems. 23(1). 64–83. 177 indexed citations
14.
Zhao, Zheng, et al.. (2020). Taylor Moment Expansion for Continuous-Discrete Gaussian Filtering. IEEE Transactions on Automatic Control. 66(9). 4460–4467. 7 indexed citations
15.
Kannala, Juho, et al.. (2019). Gyroscope-aided motion deblurring with deep networks. University of Oulu Repository (University of Oulu). 26 indexed citations
16.
Zabihi, Morteza, Ali Bahrami Rad, Simo Särkkä, et al.. (2018). Automatic Sleep Arousal Detection Using Multimodal Biosignal Analysis. Computing in cardiology. 45. 2 indexed citations
17.
Kannala, Juho, et al.. (2018). Fast motion deblurring for feature detection and matching using inertial measurements. University of Oulu Repository (University of Oulu). 11 indexed citations
18.
Solin, Arno, et al.. (2016). Sigma-Point Filtering and Smoothing Based Parameter Estimation in Nonlinear Dynamic Systems. 11(1). 15–30. 8 indexed citations
19.
Lyons, Simon, Amos Storkey, & Simo Särkkä. (2012). The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes. Neural Information Processing Systems. 25. 1952–1960. 3 indexed citations
20.
Hartikainen, Jouni & Simo Särkkä. (2011). Sequential inference for latent force models. arXiv (Cornell University). 311–318. 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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