Ursula van Rienen

6.2k total citations
221 papers, 2.0k citations indexed

About

Ursula van Rienen is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Aerospace Engineering. According to data from OpenAlex, Ursula van Rienen has authored 221 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Electrical and Electronic Engineering, 73 papers in Biomedical Engineering and 62 papers in Aerospace Engineering. Recurrent topics in Ursula van Rienen's work include Particle accelerators and beam dynamics (60 papers), Particle Accelerators and Free-Electron Lasers (49 papers) and Neuroscience and Neural Engineering (32 papers). Ursula van Rienen is often cited by papers focused on Particle accelerators and beam dynamics (60 papers), Particle Accelerators and Free-Electron Lasers (49 papers) and Neuroscience and Neural Engineering (32 papers). Ursula van Rienen collaborates with scholars based in Germany, Switzerland and United States. Ursula van Rienen's co-authors include Ekaterina Gongadze, Aleš Iglič, Julius Zimmermann, T. Weiland, Doron Kabaso, Rainer Bader, Veronika Kralj‐Iglič, Jan Gimsa, Ulrike Gimsa and Patrik Schmuki and has published in prestigious journals such as Annals of Neurology, Scientific Reports and Journal of Computational Physics.

In The Last Decade

Ursula van Rienen

199 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ursula van Rienen Germany 23 734 536 421 309 282 221 2.0k
Yuan‐Chuan Tai United States 34 1.2k 1.6× 700 1.3× 350 0.8× 423 1.4× 55 0.2× 157 4.1k
Long Meng China 31 2.3k 3.2× 274 0.5× 242 0.6× 274 0.9× 109 0.4× 116 3.2k
Jin U. Kang United States 34 2.1k 2.8× 1.1k 2.0× 358 0.9× 695 2.2× 67 0.2× 220 3.9k
Francesca Apollonio Italy 30 1.2k 1.6× 512 1.0× 470 1.1× 188 0.6× 89 0.3× 200 2.6k
Andreas Christ Switzerland 34 2.2k 3.0× 1.6k 3.0× 208 0.5× 666 2.2× 78 0.3× 103 4.4k
Benoît Charlot France 21 774 1.1× 610 1.1× 280 0.7× 312 1.0× 47 0.2× 70 1.6k
Sanghyeon Kim South Korea 34 586 0.8× 2.3k 4.3× 241 0.6× 596 1.9× 57 0.2× 280 4.0k
Jack W. Judy United States 30 1.6k 2.2× 2.0k 3.8× 1.0k 2.4× 558 1.8× 96 0.3× 145 4.0k
James E. Carey United States 28 1.5k 2.1× 1.3k 2.5× 267 0.6× 341 1.1× 176 0.6× 64 4.0k
James A. Galbraith United States 18 1.3k 1.7× 161 0.3× 499 1.2× 622 2.0× 140 0.5× 29 3.8k

Countries citing papers authored by Ursula van Rienen

Since Specialization
Citations

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

Fields of papers citing papers by Ursula van Rienen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ursula van Rienen. 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 Ursula van Rienen. The network helps show where Ursula van Rienen may publish in the future.

Co-authorship network of co-authors of Ursula van Rienen

This figure shows the co-authorship network connecting the top 25 collaborators of Ursula van Rienen. A scholar is included among the top collaborators of Ursula van Rienen 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 Ursula van Rienen. Ursula van Rienen 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.
Gummer, Anthony W., et al.. (2024). Understanding the impact of modiolus porosity on stimulation of spiral ganglion neurons by cochlear implants. Scientific Reports. 14(1). 9593–9593. 1 indexed citations
2.
Kämmerer, Peer W., et al.. (2024). Addressing Model Uncertainties in Finite Element Simulation of Electrically Stimulated Implants for Critical-Size Mandibular Defects. IEEE Transactions on Biomedical Engineering. 71(10). 3055–3068. 1 indexed citations
3.
Bednarek, Mateusz, E. Ravaioli, Arjan Verweij, et al.. (2024). Validating the Physics-Driven Lumped-Element Model of the LHC Main Dipole Magnet. IEEE Transactions on Applied Superconductivity. 34(5). 1–5. 5 indexed citations
4.
Staehlke, Susanne, Julius Zimmermann, Sahba Mobini, et al.. (2023). Discrimination between the effects of pulsed electrical stimulation and electrochemically conditioned medium on human osteoblasts. Journal of Biological Engineering. 17(1). 71–71. 10 indexed citations
5.
Zimmermann, Julius, et al.. (2023). Deriving Models of Cartilaginous Cells From Confocal Fluorescence Microscopy Images to Estimate Dielectric Properties. IEEE Transactions on Magnetics. 60(3). 1–4. 1 indexed citations
6.
Rienen, Ursula van, et al.. (2022). Multiobjective design optimization of a quadrupole resonator under uncertainties. Physical Review Accelerators and Beams. 25(1). 3 indexed citations
7.
Butenko, Konstantin, et al.. (2022). Complex network measures reveal optimal targets for deep brain stimulation and identify clusters of collective brain dynamics. Frontiers in Physics. 10. 6 indexed citations
8.
Neudorfer, Clemens, Daniel Kroneberg, Bassam Al‐Fatly, et al.. (2022). Personalizing Deep Brain Stimulation Using Advanced Imaging Sequences. Annals of Neurology. 91(5). 613–628. 24 indexed citations
9.
Fricke, Katja, et al.. (2021). Automatic Actin Filament Quantification and Cell Shape Modeling of Osteoblasts on Charged Ti Surfaces. Applied Sciences. 11(12). 5689–5689. 6 indexed citations
10.
Kebbach, Maeruan, et al.. (2021). Computational Analysis of Bone Remodeling in the Proximal Tibia Under Electrical Stimulation Considering the Piezoelectric Properties. Frontiers in Bioengineering and Biotechnology. 9. 705199–705199. 9 indexed citations
11.
Timmermann, Dirk, et al.. (2021). Mechanisms of pallidal deep brain stimulation: Alteration of cortico-striatal synaptic communication in a dystonia animal model. Neurobiology of Disease. 154. 105341–105341. 7 indexed citations
12.
Butenko, Konstantin, et al.. (2020). OSS-DBS: Open-source simulation platform for deep brain stimulation with a comprehensive automated modeling. PLoS Computational Biology. 16(7). e1008023–e1008023. 27 indexed citations
13.
Schmidt-Bleker, Ansgar, et al.. (2019). Monitoring of a dielectric barrier discharge-based process using the gas gap voltage. Plasma Sources Science and Technology. 28(2). 25002–25002. 4 indexed citations
14.
Bader, Rainer, et al.. (2018). Numerical Study on Electromechanics in Cartilage Tissue with Respect to Its Electrical Properties. Tissue Engineering Part B Reviews. 25(2). 152–166. 20 indexed citations
15.
Shi, Liangliang, et al.. (2017). Eigenmode compendium of the third harmonic module of the European X-ray Free Electron Laser. Physical Review Accelerators and Beams. 20(4). 3 indexed citations
16.
Gongadze, Ekaterina, Ursula van Rienen, Veronika Kralj‐Iglič, & Aleš Iglič. (2012). Spatial variation of permittivity of an electrolyte solution in contact with a charged metal surface: a mini review. Computer Methods in Biomechanics & Biomedical Engineering. 16(5). 463–480. 38 indexed citations
17.
Baboi, N., et al.. (2010). First Beam Spectra of SC Third Harmonic Cavity at FLASH. DESY (CERN, DESY, Fermilab, IHEP, and SLAC). 782–784. 1 indexed citations
18.
Rienen, Ursula van, et al.. (2001). Scientific computing in electrical engineering : proceedings of the 3rd International Workshop, August 20-23, 2000, Warnemünde, Germany. Springer eBooks. 1 indexed citations
19.
Rienen, Ursula van. (1993). Higher Order Mode Analysis of Tapered Disc-Loaded Waveguides Using the Mode Matching Technique. Particle accelerators. 41. 173–201. 13 indexed citations
20.
Rienen, Ursula van & Thomas Weiland. (1986). Triangular Discretization method for the evaluation of RF-fields in waveguides and cylindrically symmetric cavities. DESY (CERN, DESY, Fermilab, IHEP, and SLAC). 20. 239. 13 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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