World's Best Scientists 2026 revealed!
Simo Särkkä

Simo Särkkä

D-Index & Metrics

Computer Science

D-Index
44
Citations
8739
World Ranking
7534
National Ranking
55

Simo Särkkä publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Simo Särkkä sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 275 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Simo Särkkä D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Simo Särkkä sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Simo Särkkä is a researcher affiliated with Aalto University in Finland, focusing on fields spanning Computer Science and Engineering. Their research contributions encompass a significant number of publications addressing topics in Artificial Intelligence, Control and Systems Engineering, and Radiology, Nuclear Medicine and Imaging.

The main topics covered by Särkkä's work include:

  • Target Tracking and Data Fusion in Sensor Networks
  • Gaussian Processes and Bayesian Inference
  • Control Systems and Identification
  • Fault Detection and Control Systems
  • Advanced Control Systems Optimization
  • Medical Imaging Techniques and Applications
  • Advanced X-ray and CT Imaging

Särkkä has authored several research papers published in well-known venues. Some notable publications include:

  • "Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review", 2020, IEEE Transactions on Intelligent Transportation Systems
  • "Early oxygen levels contribute to brain injury in extremely preterm infants", 2021, Pediatric Research
  • "Machine Learning Methods for Neonatal Mortality and Morbidity Classification", 2020, IEEE Access
  • "Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification", 2022, IEEE Access
  • "Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection", 2020, Journal of Signal Processing Systems

The frequent co-authors collaborating with Särkkä are:

  • Zheng Zhao
  • Adrien Corenflos
  • Ángel F. García-Fernández
  • Toni Karvonen
  • Muhammad F. Emzir

Regarding publication outlets, Särkkä has contributed extensively to venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Automatic Control
  • 2022 25th International Conference on Information Fusion (FUSION)
  • IEEE Access
  • IEEE Transactions on Signal Processing

In addition to journal articles, Särkkä has published a book with Cambridge University Press titled Bayesian Filtering and Smoothing (2023), which has been cited in the research community.

Best Publications

  • Recursive Noise Adaptive Kalman Filtering by Variational Bayesian Approximations

    S. Sarkka;A. Nummenmaa

  • On Unscented Kalman Filtering for State Estimation of Continuous-Time Nonlinear Systems

    S. Sarkka

  • Unscented Rauch--Tung--Striebel Smoother

    S. Sarkka

  • Rao-Blackwellized particle filter for multiple target tracking

    Simo Särkkä;Aki Vehtari;Jouko Lampinen

  • Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing: A Look at Gaussian Process Regression Through Kalman Filtering

    S. Sarkka;A. Solin;J. Hartikainen

  • Kalman filtering and smoothing solutions to temporal Gaussian process regression models

    Jouni Hartikainen;Simo Sarkka

  • Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review

    Sarang Thombre;Zheng Zhao;Henrik Ramm-Schmidt;José M. Vallet García

  • A survey of Monte Carlo methods for parameter estimation

    David Luengo;Luca Martino;Luca Martino;Mónica F. Bugallo;Victor Elvira

  • Hilbert space methods for reduced-rank Gaussian process regression

    Arno Solin;Simo Särkkä

  • Recursive outlier-robust filtering and smoothing for nonlinear systems using the multivariate student-t distribution

    Robert Piche;Simo Sarkka;Jouni Hartikainen

  • Recursive Bayesian inference on stochastic differential equations

    Simo Särkkä

  • Applied Stochastic Differential Equations

    Simo Särkkä;Arno Solin

  • Dynamic retrospective filtering of physiological noise in BOLD fMRI: DRIFTER

    Simo Särkkä;Arno Solin;Aapo Nummenmaa;Aapo Nummenmaa;Aki Vehtari

  • Linear operators and stochastic partial differential equations in Gaussian process regression

    Simo Särkkä

  • Posterior Linearization Filter: Principles and Implementation Using Sigma Points

    Ángel F. García-Fernández;Lennart Svensson;Mark R. Morelande;Simo Särkkä

  • Batch Continuous-Time Trajectory Estimation as Exactly Sparse Gaussian Process Regression

    Tim D. Barfoot;Chi Hay Tong;Simo Särkkä

  • Non-linear noise adaptive Kalman filtering via variational Bayes

    Simo Sarkka;Jouni Hartikainen

  • Gaussian filtering and smoothing for continuous-discrete dynamic systems

    Simo SäRkkä;Juha Sarmavuori

  • On Gaussian Optimal Smoothing of Non-Linear State Space Models

    Simo Sarkka;Jouni Hartikainen

  • Phase-Based UHF RFID Tracking With Nonlinear Kalman Filtering and Smoothing

    S. Sarkka;V. V. Viikari;M. Huusko;K. Jaakkola

  • Optimal Filtering with Kalman Filters and Smoothers

    Jouni Hartikainen;Arno Solin;Simo Särkkä

  • Bayesian Filtering and Smoothing: Bayesian filtering equations and exact solutions

    Simo Särkkä

Frequent Co-Authors

Aki Vehtari
Aki Vehtari Aalto University
Juho Kannala
Juho Kannala Aalto University
Janne Heikkilä
Janne Heikkilä University of Oulu
Jiri Matas
Jiri Matas Czech Technical University in Prague
Thomas B. Schön
Thomas B. Schön Uppsala University
Simon J. Godsill
Simon J. Godsill University of Cambridge
Philipp Hennig
Philipp Hennig University of Tübingen
Heikki Haario
Heikki Haario Lappeenranta University of Technology
Luca Martino
Luca Martino King Juan Carlos University
Neil D. Lawrence
Neil D. Lawrence University of Cambridge

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