Franziska Mathis-Ullrich

156 total papers · 1.7k total citations
76 papers, 1.0k citations indexed

About

Franziska Mathis-Ullrich is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Franziska Mathis-Ullrich has authored 76 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Biomedical Engineering, 24 papers in Computer Vision and Pattern Recognition and 21 papers in Surgery. Recurrent topics in Franziska Mathis-Ullrich's work include Soft Robotics and Applications (27 papers), Surgical Simulation and Training (20 papers) and Micro and Nano Robotics (12 papers). Franziska Mathis-Ullrich is often cited by papers focused on Soft Robotics and Applications (27 papers), Surgical Simulation and Training (20 papers) and Micro and Nano Robotics (12 papers). Franziska Mathis-Ullrich collaborates with scholars based in Germany, Switzerland and Egypt. Franziska Mathis-Ullrich's co-authors include Bradley J. Nelson, Salvador Pané, Juho Pokki, George Chatzipirpiridis, Olgaç Ergeneman, Christian Rainer Wirtz, Stefano Fusco, Oliver Burgert, Christos Bergeles and Carsten Framme and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Membrane Science.

In The Last Decade

Franziska Mathis-Ullrich

66 papers receiving 977 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Franziska Mathis-Ullrich 539 334 186 185 182 76 1.0k
Kundong Wang 411 0.8× 96 0.3× 166 0.9× 151 0.8× 152 0.8× 45 1.2k
Robert A. MacLachlan 516 1.0× 58 0.2× 229 1.2× 93 0.5× 154 0.8× 51 1.1k
Kourosh Zareinia 720 1.3× 62 0.2× 124 0.7× 368 2.0× 399 2.2× 69 1.2k
Abhilash Pandya 480 0.9× 31 0.1× 225 1.2× 109 0.6× 231 1.3× 56 1.2k
Yigang Luo 329 0.6× 37 0.1× 57 0.3× 53 0.3× 328 1.8× 36 885
Sungwook Yang 550 1.0× 120 0.4× 63 0.3× 148 0.8× 195 1.1× 65 1.1k
Thomas Looi 741 1.4× 102 0.3× 105 0.6× 106 0.6× 524 2.9× 90 1.0k
Eftychios G. Christoforou 491 0.9× 24 0.1× 128 0.7× 176 1.0× 245 1.3× 57 1.0k
Jiaole Wang 528 1.0× 89 0.3× 450 2.4× 195 1.1× 174 1.0× 80 1.2k
Benoît Rosa 438 0.8× 36 0.1× 118 0.6× 255 1.4× 199 1.1× 63 860

Countries citing papers authored by Franziska Mathis-Ullrich

Since Specialization
Citations

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

Fields of papers citing papers by Franziska Mathis-Ullrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Franziska Mathis-Ullrich. 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 Franziska Mathis-Ullrich. The network helps show where Franziska Mathis-Ullrich may publish in the future.

Co-authorship network of co-authors of Franziska Mathis-Ullrich

This figure shows the co-authorship network connecting the top 25 collaborators of Franziska Mathis-Ullrich. A scholar is included among the top collaborators of Franziska Mathis-Ullrich 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 Franziska Mathis-Ullrich. Franziska Mathis-Ullrich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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