A. Ruhdorfer

914 total citations
33 papers, 729 citations indexed

About

A. Ruhdorfer is a scholar working on Rheumatology, Biomedical Engineering and Surgery. According to data from OpenAlex, A. Ruhdorfer has authored 33 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Rheumatology, 22 papers in Biomedical Engineering and 19 papers in Surgery. Recurrent topics in A. Ruhdorfer's work include Osteoarthritis Treatment and Mechanisms (26 papers), Lower Extremity Biomechanics and Pathologies (22 papers) and Knee injuries and reconstruction techniques (12 papers). A. Ruhdorfer is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (26 papers), Lower Extremity Biomechanics and Pathologies (22 papers) and Knee injuries and reconstruction techniques (12 papers). A. Ruhdorfer collaborates with scholars based in Austria, Germany and Australia. A. Ruhdorfer's co-authors include F. Eckstein, W. Wirth, T. Dannhauer, Adam G Culvenor, Carsten Bogh Juhl, Britt Elin Øiestad, Jana Kemnitz, Wolfgang Hitzl, Michael C. Nevitt and David J. Hunter and has published in prestigious journals such as Osteoarthritis and Cartilage, Arthritis & Rheumatology and Investigative Radiology.

In The Last Decade

A. Ruhdorfer

32 papers receiving 720 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Ruhdorfer Austria 18 496 418 396 112 73 33 729
T. Dannhauer Austria 14 354 0.7× 281 0.7× 285 0.7× 67 0.6× 37 0.5× 26 473
Toran D. MacLeod United States 19 188 0.4× 646 1.5× 523 1.3× 459 4.1× 40 0.5× 31 1.0k
Stephanie L. Smith United Kingdom 10 255 0.5× 160 0.4× 125 0.3× 141 1.3× 60 0.8× 24 522
Yoshitaka Toda Japan 9 236 0.5× 185 0.4× 152 0.4× 51 0.5× 61 0.8× 22 419
Neil R. Bergman Australia 14 308 0.6× 443 1.1× 382 1.0× 175 1.6× 37 0.5× 26 798
J. Torner United States 8 597 1.2× 395 0.9× 248 0.6× 120 1.1× 74 1.0× 9 740
Natasha M. Krowchuk Canada 11 163 0.3× 164 0.4× 263 0.7× 95 0.8× 30 0.4× 27 493
Hope Davis‐Wilson United States 15 122 0.2× 430 1.0× 290 0.7× 183 1.6× 22 0.3× 55 590
Lin‐Fen Hsieh Taiwan 13 139 0.3× 224 0.5× 62 0.2× 78 0.7× 41 0.6× 29 455
G.R. Vincent United Kingdom 10 294 0.6× 227 0.5× 178 0.4× 69 0.6× 7 0.1× 25 455

Countries citing papers authored by A. Ruhdorfer

Since Specialization
Citations

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

Fields of papers citing papers by A. Ruhdorfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Ruhdorfer

This figure shows the co-authorship network connecting the top 25 collaborators of A. Ruhdorfer. A scholar is included among the top collaborators of A. Ruhdorfer 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 A. Ruhdorfer. A. Ruhdorfer 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.
Ladenhauf, Hannah N., Alexander Schlattau, W. Wirth, et al.. (2020). Association of infra-patellar fat pad size with age and body weight in children and adolescents. Annals of Anatomy - Anatomischer Anzeiger. 232. 151533–151533. 8 indexed citations
3.
Kemnitz, Jana, Christian F. Baumgartner, F. Eckstein, et al.. (2019). Clinical evaluation of fully automated thigh muscle and adipose tissue segmentation using a U-Net deep learning architecture in context of osteoarthritic knee pain. Magnetic Resonance Materials in Physics Biology and Medicine. 33(4). 483–493. 43 indexed citations
4.
Kemnitz, Jana, Christian F. Baumgartner, A. Ruhdorfer, et al.. (2019). Clinical validation of fully automated segmentation of thigh muscle and adipose tissue cross sectional areas using maching learning with a convolutional neural network. Osteoarthritis and Cartilage. 27. S383–S384. 1 indexed citations
7.
Ruhdorfer, A., et al.. (2017). Longitudinal change in infrapatellar fat pad volume and MRI signal prior to total knee replacement – data from the osteoarthritis initiative. Osteoarthritis and Cartilage. 25. S74–S75. 1 indexed citations
8.
Kemnitz, Jana, W. Wirth, F. Eckstein, A. Ruhdorfer, & Adam G Culvenor. (2017). Longitudinal change in thigh muscle strength prior to and concurrent with symptomatic and radiographic knee osteoarthritis progression: data from the Osteoarthritis Initiative. Osteoarthritis and Cartilage. 25(10). 1633–1640. 24 indexed citations
9.
10.
Kemnitz, Jana, F. Eckstein, Adam G Culvenor, et al.. (2017). Validation of an active shape model-based semi-automated segmentation algorithm for the analysis of thigh muscle and adipose tissue cross-sectional areas. Magnetic Resonance Materials in Physics Biology and Medicine. 30(5). 489–503. 27 indexed citations
11.
Ruhdorfer, A., et al.. (2016). Inter- & intra-observer reliability of thigh muscle and adipose tissue cross-sectional area analysis from MR images. Osteoarthritis and Cartilage. 24. S415–S415. 5 indexed citations
12.
Ruhdorfer, A., W. Wirth, & F. Eckstein. (2016). Association of knee pain with a reduction in thigh muscle strength – a cross-sectional analysis including 4553 osteoarthritis initiative participants. Osteoarthritis and Cartilage. 25(5). 658–666. 32 indexed citations
13.
Eckstein, F., et al.. (2015). Infra-patellar fat pad morphology and MRI signal distribution in advanced radiographic knee OA – Data from the OAI. Osteoarthritis and Cartilage. 23. A219–A219. 5 indexed citations
14.
Ruhdorfer, A., W. Wirth, T. Dannhauer, & F. Eckstein. (2015). Longitudinal (4 year) change of thigh muscle and adipose tissue distribution in chronically painful vs painless knees – data from the Osteoarthritis Initiative. Osteoarthritis and Cartilage. 23(8). 1348–1356. 34 indexed citations
16.
Wirth, W., Natalie Glass, A. Ruhdorfer, et al.. (2015). Is Pain in One Knee Associated with Isometric Muscle Strength in the Contralateral Limb?. American Journal of Physical Medicine & Rehabilitation. 94(10). 792–803. 18 indexed citations
17.
Dannhauer, T., M. Hudelmaier, A. Ruhdorfer, et al.. (2014). Effects of strength and endurance training intervention on thigh intermuscular and subcutaneous adipose tissue in sarkopenic women. Osteoarthritis and Cartilage. 22. S317–S317. 7 indexed citations
19.
Ruhdorfer, A., T. Dannhauer, W. Wirth, et al.. (2014). Thigh muscle cross-sectional areas and strength in knees with early vs knees without radiographic knee osteoarthritis: a between-knee, within-person comparison. Osteoarthritis and Cartilage. 22(10). 1634–1638. 21 indexed citations
20.
Dannhauer, T., A. Ruhdorfer, W. Wirth, & F. Eckstein. (2014). Quantitative Relationship of Thigh Adipose Tissue With Pain, Radiographic Status, and Progression of Knee Osteoarthritis. Investigative Radiology. 50(4). 268–274. 39 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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