Ursula van Rienen

6.2k citations
221 papers · 2.0k indexed · h-index 23

Ursula van Rienen

199 papers receiving 1.9k citations

Peers

Ursula van Rienen
Comparison fields: 5 of 123
  • Cellular and Molecular Neuroscience 421
  • Neurology 282
  • Biomedical Engineering 734
  • Physical and Theoretical Chemistry 106
  • Biophysics 64
Replace Long Meng with:
Long Meng China
Benoît Charlot France
Karen C. Cheung Canada
Quanying Liu China
Malisa Sarntinoranont United States
Jason Sutin United States
Jack W. Judy United States
Francesca Apollonio Italy
Fredrik Nikolajeff Sweden
Sakhrat Khizroev United States
Ursula van Rienen relative to Long Meng China Long Meng's profile →
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Citations per year

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

The 25 scholars most cited alongside Ursula van Rienen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ursula van Rienen Line = papers co-authored together Ursula van Rienen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
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5 20231
6 202310
7 20223
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11 20219
12 20217
13 20206
14 202027
15 20194
16 201820
17 20173
18 201238
19 20101
20
Higher Order Mode Analysis of Tapered Disc-Loaded Waveguides Using the Mode Matching Technique
199313

About Ursula van Rienen

Ursula van Rienen is a scholar working on Aerospace Engineering, Biophysics and Cellular and Molecular Neuroscience, having authored 221 papers that have together received 2.0k indexed citations. Recurring topics across this work include Particle accelerators and beam dynamics (60 papers), Particle Accelerators and Free-Electron Lasers (49 papers), Neuroscience and Neural Engineering (32 papers), Gyrotron and Vacuum Electronics Research (27 papers), Neurological disorders and treatments (27 papers), Electromagnetic Simulation and Numerical Methods (23 papers), Planarian Biology and Electrostimulation (18 papers) and Bone Tissue Engineering Materials (18 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (421 citations), Neurology (282 citations) and Biomedical Engineering (734 citations). Ursula van Rienen has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Aleš Iglič, Ekaterina Gongadze, Julius Zimmermann, T. Weiland, Doron Kabaso, Rainer Bader, Veronika Kralj‐Iglič, Jan Gimsa, Ulrike Gimsa and Patrik Schmuki. Their work appears in journals such as IEEE Transactions on Magnetics, Frontiers in Bioengineering and Biotechnology, Physical Review Accelerators and Beams, IEEE Transactions on Biomedical Engineering and Applied Sciences.

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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