Franz Maier

19 papers receiving 364 citations

Peers

Franz Maier
Comparison fields: 5 of 97
  • Automotive Engineering 50
  • Instrumentation 13
  • Rheumatology 56
  • Biomedical Engineering 124
  • Gastroenterology 13
Replace Michael Skutek with:
Michael Skutek Germany
Catherine Masson France
Daniela Tarniţă Romania
Alireza Borjali United States
A. Fischer Israel
Jiro Sakamoto Japan
Yunhua Luo Canada
J. Mayo Spain
Kaiwei Ma China
Franz Maier relative to Michael Skutek Germany Michael Skutek's profile →
Citations per field
00.5×6.5×
Michael Skutek · 1×
Citations per year

Countries citing papers authored by Franz Maier

Since Specialization
Citations

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

Fields of papers citing papers by Franz Maier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Franz Maier. 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 Franz Maier. The network helps show where Franz Maier may publish in the future.

Co-authors

The 25 scholars most cited alongside Franz Maier, 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 Franz Maier Line = papers co-authored together Franz Maier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201473
2 202043
3 202040
4 201925
5 201625
6 201924
7 201824
8 202020
9 201919
10 202017
11 201816
12 201615
13 200715
14 20195
15 20164
16 20223
17 20251
18 20231
19 20191
20 20121

About Franz Maier

Franz Maier is a scholar working on Biomedical Engineering, Surgery, Rheumatology, Mechanical Engineering and Automotive Engineering, having authored 21 papers that have together received 373 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (5 papers), Lower Extremity Biomechanics and Pathologies (4 papers), Elasticity and Material Modeling (4 papers), Total Knee Arthroplasty Outcomes (3 papers), Textile materials and evaluations (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Aortic aneurysm repair treatments (2 papers) and Myofascial pain diagnosis and treatment (2 papers). The work is most often cited by research in Automotive Engineering (50 citations), Instrumentation (13 citations), Rheumatology (56 citations), Biomedical Engineering (124 citations) and Gastroenterology (13 citations). Franz Maier has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include David M. Pierce, Bin Feng, Hicham Drissi, Gerhard A. Holzapfel, Paul Herijgers, Hannah Weisbecker, Nele Famaey, Courtland G. Lewis, Christian Viertler and Inge Fourneau. Their work appears in journals such as Journal of the mechanical behavior of biomedical materials, Osteoarthritis and Cartilage, American Journal of Physiology-Gastrointestinal and Liver Physiology, Journal of the American Musicological Society and Journal of Biomechanics.

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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