Stefan Kowarik

About Stefan Kowarik

Stefan Kowarik, With an exceptional h-index of 32 and a recent h-index of 20 (since 2020), a distinguished researcher at Karl-Franzens-Universität Graz, specializes in the field of molecular materials, optics, optical and x-ray analytics, x-ray scattering.

His recent articles reflect a diverse array of research interests and contributions to the field:

Neural network analysis of neutron and X-ray reflectivity data incorporating prior knowledge

X-ray diffraction under grazing incidence conditions

Closing the loop: autonomous experiments enabled by machine-learning-based online data analysis in synchrotron beamline environments

Chirality-specific unidirectional rotation of molecular motors on Cu (111)

Faster and lower-dose X-ray reflectivity measurements enabled by physics-informed modeling and artificial intelligence co-refinement

Artificial neural networks and data fusion enable concentration predictions for inline process analytics

Artificial Intelligence for Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy Using a Novel Data Augmentation Method

Machine learning predictions of surface migration barriers in nucleation and non-equilibrium growth

Stefan Kowarik Information

University

Position

Physical and Theoretical Chemistry

Citations(all)

4666

Citations(since 2020)

1600

Cited By

3764

hIndex(all)

32

hIndex(since 2020)

20

i10Index(all)

49

i10Index(since 2020)

36

Email

University Profile Page

Google Scholar

Stefan Kowarik Skills & Research Interests

molecular materials

optics

optical and x-ray analytics

x-ray scattering

Top articles of Stefan Kowarik

Neural network analysis of neutron and X-ray reflectivity data incorporating prior knowledge

arXiv preprint arXiv:2307.05364

2023/6/28

X-ray diffraction under grazing incidence conditions

2024/2/29

Closing the loop: autonomous experiments enabled by machine-learning-based online data analysis in synchrotron beamline environments

Journal of Synchrotron Radiation

2023/11/1

Chirality-specific unidirectional rotation of molecular motors on Cu (111)

ACS nano

2023/2/9

Faster and lower-dose X-ray reflectivity measurements enabled by physics-informed modeling and artificial intelligence co-refinement

Journal of Applied Crystallography

2022/10/1

Artificial neural networks and data fusion enable concentration predictions for inline process analytics

Digital Discovery

2022

Peter Sagmeister
Peter Sagmeister

H-Index: 5

Stefan Kowarik
Stefan Kowarik

H-Index: 20

Artificial Intelligence for Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy Using a Novel Data Augmentation Method

IEEE Transactions on Emerging Topics in Computing

2021/12/6

Stefan Kowarik
Stefan Kowarik

H-Index: 20

Machine learning predictions of surface migration barriers in nucleation and non-equilibrium growth

Communications materials

2021/9/2

Stefan Kowarik
Stefan Kowarik

H-Index: 20

Grazing incidence X-ray scattering techniques to study growth mechanism of organic films

Advanced Characterization of Nanostructured Materials. Probing the Structure and Dynamics with Synchrotron X-Rays and Neutrons. Edited by Sunil K. Sinha

2021/3/23

Artificial neural networks for quantitative online NMR spectroscopy

Analytical and bioanalytical chemistry

2020/7

Simon Müller
Simon Müller

H-Index: 1

Stefan Kowarik
Stefan Kowarik

H-Index: 20

Train monitoring using distributed fiber optic acoustic sensing

2020/6/8

Stefan Kowarik
Stefan Kowarik

H-Index: 20

Fiber optic train monitoring with distributed acoustic sensing: Conventional and neural network data analysis

Sensors

2020/1/13

Stefan Kowarik
Stefan Kowarik

H-Index: 20

Training data of quantitative online NMR spectroscopy for artificial neural networks

2020

Stefan Kowarik
Stefan Kowarik

H-Index: 20

See List of Professors in Stefan Kowarik University(Karl-Franzens-Universität Graz)

Co-Authors

academic-engine