Ursula van Rienen

About Ursula van Rienen

Ursula van Rienen, With an exceptional h-index of 32 and a recent h-index of 20 (since 2020), a distinguished researcher at Universität Rostock, specializes in the field of Modelling and Simulation of Electromagnetic Fields, Accelerator Physics, Biomedical Engineering.

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

Muon collider forum report

Validating the Physics-Driven Lumped-Element Model of the LHC Main Dipole Magnet

A Computational Study on the Activation of Neural Transmission in Deep Brain Stimulation

Towards a muon collider (vol 83, 864, 2023)

Towards an optimised deep brain stimulation using a large-scale computational network and realistic volume conductor model

Utilising activity patterns of a complex biophysical network model to optimise intra-striatal deep brain stimulation

Understanding the impact of modiolus porosity on stimulation of spiral ganglion neurons by cochlear implants

Characterization of the Electrode Tissue Interface after long-term Deep Brain Stimulation in a 6-Hydroxydopamine Hemi-Parkinson rat model

Ursula van Rienen Information

University

Position

Professor on Electromagnetic Field Theory

Citations(all)

6333

Citations(since 2020)

3266

Cited By

3344

hIndex(all)

32

hIndex(since 2020)

20

i10Index(all)

90

i10Index(since 2020)

47

Email

University Profile Page

Google Scholar

Ursula van Rienen Skills & Research Interests

Modelling and Simulation of Electromagnetic Fields

Accelerator Physics

Biomedical Engineering

Top articles of Ursula van Rienen

Muon collider forum report

Journal of Instrumentation

2024/2/23

Validating the Physics-Driven Lumped-Element Model of the LHC Main Dipole Magnet

IEEE Transactions on Applied Superconductivity

2024/2/19

A Computational Study on the Activation of Neural Transmission in Deep Brain Stimulation

Authorea Preprints

2024/1/29

Ursula Van Rienen
Ursula Van Rienen

H-Index: 18

Towards an optimised deep brain stimulation using a large-scale computational network and realistic volume conductor model

Journal of Neural Engineering

2024/1/4

Utilising activity patterns of a complex biophysical network model to optimise intra-striatal deep brain stimulation

bioRxiv

2024

Understanding the impact of modiolus porosity on stimulation of spiral ganglion neurons by cochlear implants

Scientific Reports

2024/4/26

Ursula Van Rienen
Ursula Van Rienen

H-Index: 18

Characterization of the Electrode Tissue Interface after long-term Deep Brain Stimulation in a 6-Hydroxydopamine Hemi-Parkinson rat model

Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation

2023/1/1

Julius Zimmermann
Julius Zimmermann

H-Index: 3

Ursula Van Rienen
Ursula Van Rienen

H-Index: 18

Effects of deep brain stimulation in the subthalamic nucleus (STN-DBS) on cellular plasticity in catecholaminergic systems in a hemiparkinsonian rat model

Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation

2023/1/1

Dirk Timmermann
Dirk Timmermann

H-Index: 20

Ursula Van Rienen
Ursula Van Rienen

H-Index: 18

Effect of electrical stimulation on biological cells by capacitive coupling--an efficient numerical study considering model uncertainties

Authorea Preprints

2023/10/30

Julius Zimmermann
Julius Zimmermann

H-Index: 3

Ursula Van Rienen
Ursula Van Rienen

H-Index: 18

Design and Optimisation of a Double-Notch DQW HOM Coupler

2023/10/9

Ursula Van Rienen
Ursula Van Rienen

H-Index: 18

Employing a Patient-specific Volume Conductor Model as Input for a Biophysical Network Model for Deep Brain Stimulation

2023/10/9

Deriving Models of Cartilaginous Cells from Confocal Fluorescence Microscopy Images to Estimate Dielectric Properties

IEEE Transactions on Magnetics

2023/8/21

Experimental and numerical methods to ensure comprehensible and replicable alternating current electrical stimulation experiments

Bioelectrochemistry

2023/6/1

Julius Zimmermann
Julius Zimmermann

H-Index: 3

Ursula Van Rienen
Ursula Van Rienen

H-Index: 18

Alternating electric field stimulation: phenotype analysis and osteoclast activity of differentiated RAW 264.7 macrophages on hydroxyapatite-coated Ti6Al4V surfaces and their …

Biomaterials Advances

2023/3/1

Lead-DBS v3. 0: Mapping deep brain stimulation effects to local anatomy and global networks

Neuroimage

2023/3/1

Data_Discrimination between the effects of pulsed electrical stimulation and electrochemically conditioned medium on human osteoblasts

2023

JACOW : Design and optimisation of an 800 MHz 5-cell elliptical SRF cavity for working point of the future circular Electron-Positron Collider

JACoW IPAC

2023

Method to Predict Microelectrode Impedances during Runtime for Electrical Stimulation and Recording in Future Neural Implants

Biomedical engineering= Biomedizinische Technik

2023

Julius Zimmermann
Julius Zimmermann

H-Index: 3

Ursula Van Rienen
Ursula Van Rienen

H-Index: 18

See List of Professors in Ursula van Rienen University(Universität Rostock)

Co-Authors

academic-engine