2026 Thomas B. Schön: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	52	5018	4881	23	23	309	13535

Thomas B. Schön 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 Thomas B. Schön sits on this spectrum.

32 publications 991+

This scientist: 309 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Thomas B. Schön 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 Thomas B. Schön sits on this spectrum.

30 D-Index 131+

This scientist: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Thomas B. Schön is affiliated with Uppsala University in Sweden. Their research spans multiple fields within computer science and engineering, with a notable focus on artificial intelligence and control systems.

Their scientific contributions include work on the intersection of machine learning and system identification, as well as applications in cardiology and signal processing. Key areas of study include:

Artificial Intelligence
Control and Systems Engineering
Computer Vision and Pattern Recognition
Cardiology and Cardiovascular Medicine
Signal Processing

Focus topics in their work cover:

Fault Detection and Control Systems
ECG Monitoring and Analysis
Control Systems and Identification
Gaussian Processes and Bayesian Inference
Target Tracking and Data Fusion in Sensor Networks
Neural Networks and Applications
Anomaly Detection Techniques and Applications

Recent papers by Thomas B. Schön include:

"Pre-trained deep neural network models for ECG automatic abnormality detection" (2020) published in OPAL (Open@LaTrobe) (La Trobe University)
"Deep neural network-estimated electrocardiographic age as a mortality predictor" (2021) published in Nature Communications
"The effect of interventions on COVID-19" (2020) published in Nature
"Deep Learning and System Identification" (2020) published in IFAC-PapersOnLine
"Image Restoration with Mean-Reverting Stochastic Differential Equations" (2023) published on arXiv (Cornell University)

Frequent publication venues for this researcher include:

arXiv (Cornell University)
IFAC-PapersOnLine
OPAL (Open@LaTrobe) (La Trobe University)
bioRxiv (Cold Spring Harbor Laboratory)
Zenodo (CERN European Organization for Nuclear Research)

Thomas B. Schön has collaborated extensively with a number of co-authors, including:

Antônio H. Ribeiro
Antônio Luiz Pinho Ribeiro
Niklas Wahlström
Jens Sjölund
Fredrik Gustafsson

In addition to research papers, their work includes book publications. A notable book is "Machine Learning," published in 2022 by Cambridge University Press.

Best Publications

Automatic diagnosis of the 12-lead ECG using a deep neural network

Antônio H. Ribeiro;Antônio H. Ribeiro;Manoel Horta Ribeiro;Gabriella M.M. Paixão;Derick M. Oliveira

1339
Citations
Marginalized particle filters for mixed linear/nonlinear state-space models

T. Schon;F. Gustafsson;P.-J. Nordlund

886
Citations
System identification of nonlinear state-space models

Thomas B. Schön;Adrian Wills;Brett Ninness

664
Citations
On Resampling Algorithms for Particle Filters

Jeroen D. Hol;Thomas B. Schon;Fredrik Gustafsson

578
Citations
Using Inertial Sensors for Position and Orientation Estimation

Manon Kok;Jeroen D. Hol;Thomas B. Schön

561
Citations
Marginalized Particle Filters for Nonlinear State-space Models

Thomas Schön;Fredrik Gustafsson;Per-Johan Nordlund

555
Citations
Identification of Hammerstein-Wiener models

Adrian Wills;Thomas B. SchöN;Lennart Ljung;Brett Ninness

351
Citations
Particle gibbs with ancestor sampling

Fredrik Lindsten;Michael I. Jordan;Thomas B. Schön

293
Citations
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision

Fredrik K. Gustafsson;Martin Danelljan;Thomas B. Schon

252
Citations
The Eighth Visual Object Tracking VOT2020 Challenge Results

Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

239
Citations
Complexity analysis of the marginalized particle filter

R. Karlsson;T. Schon;F. Gustafsson

218
Citations
Indoor Positioning Using Ultrawideband and Inertial Measurements

Manon Kok;Jeroen D. Hol;Thomas B. Schon

214
Citations
Mycobacterium tuberculosis drug-resistance testing: challenges, recent developments and perspectives

T. Schön;P. Miotto;C. U. Köser;M. Viveiros

209
Citations
Deep neural network-estimated electrocardiographic age as a mortality predictor.

Emilly M. Lima;Antônio H. Ribeiro;Antônio H. Ribeiro;Gabriela M. M. Paixão;Manoel Horta Ribeiro

206
Citations
Magnetometer Calibration Using Inertial Sensors

Manon Kok;Thomas B. Schön

201
Citations
A Basic Convergence Result for Particle Filtering

Xiao-Li Hu;T.B. Schon;L. Ljung

201
Citations
Tightly coupled UWB/IMU pose estimation

Jeroen D. Hol;Fred Dijkstra;Henk Luinge;Thomas B. Schon

192
Citations
Backward Simulation Methods for Monte Carlo Statistical Inference

Fredrik Lindsten;Thomas B. Schön

177
Citations
Deep learning and system identification

Lennart Ljung;Carl Andersson;Koen Tiels;Thomas B. Schön

162
Citations
From Pixels to Torques: Policy Learning with Deep Dynamical Models

Niklas Wahlström;Thomas B. Schön;Marc Peter Deisenroth

156
Citations
Evaluating model calibration in classification

Juozas Vaicenavicius;David Widmann;Carl R. Andersson;Fredrik Lindsten

82
Citations
Indoor positioning using ultra-wideband and inertial measurements

Manon Kok;Jeroen D. Hol;Thomas B. Schön

13
Citations

Frequent Co-Authors

Fredrik Gustafsson Linköping University

Brett Ninness University of Newcastle Australia

Lennart Ljung Linköping University

Olle Stendahl Linköping University

Christian G. Giske Karolinska University Hospital

Wagner Meira Universidade Federal de Minas Gerais

Simo Särkkä Aalto University

Antonio Luiz Pinho Ribeiro Universidade Federal de Minas Gerais

Gunnar Kahlmeter Uppsala University

Michel Verhaegen Delft University of Technology

External Links

Personal website of Thomas B. Schön Google Scholar page

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