Justus Schock

600 total citations
28 papers, 378 citations indexed

About

Justus Schock is a scholar working on Surgery, Biomedical Engineering and Rheumatology. According to data from OpenAlex, Justus Schock has authored 28 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 12 papers in Biomedical Engineering and 9 papers in Rheumatology. Recurrent topics in Justus Schock's work include Knee injuries and reconstruction techniques (10 papers), Osteoarthritis Treatment and Mechanisms (9 papers) and Lower Extremity Biomechanics and Pathologies (8 papers). Justus Schock is often cited by papers focused on Knee injuries and reconstruction techniques (10 papers), Osteoarthritis Treatment and Mechanisms (9 papers) and Lower Extremity Biomechanics and Pathologies (8 papers). Justus Schock collaborates with scholars based in Germany, Switzerland and United States. Justus Schock's co-authors include Dorit Merhof, Marcin Kopaczka, Sven Nebelung, Daniel Truhn, Christiane Kühl, Daniel B. Abrar, Nicki Skafte Detlefsen, Maxim Grechkin, Jiří Borovec and Manuel Post and has published in prestigious journals such as Scientific Reports, Monthly Notices of the Royal Astronomical Society and Acta Biomaterialia.

In The Last Decade

Justus Schock

28 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Justus Schock Germany 10 106 98 87 84 55 28 378
Jérôme Schmid Switzerland 11 212 2.0× 59 0.6× 163 1.9× 108 1.3× 33 0.6× 30 419
Amod Jog United States 15 132 1.2× 227 2.3× 143 1.6× 341 4.1× 87 1.6× 32 698
Raphael Schwarz Germany 12 142 1.3× 42 0.4× 178 2.0× 50 0.6× 191 3.5× 30 541
Yan Kang China 11 32 0.3× 203 2.1× 100 1.1× 127 1.5× 59 1.1× 63 456
Paweł Badura Poland 12 14 0.1× 107 1.1× 89 1.0× 94 1.1× 104 1.9× 34 349
Arnaldo Mayer Israel 13 18 0.2× 222 2.3× 100 1.1× 256 3.0× 107 1.9× 45 584
Yuta Hiasa Japan 9 111 1.0× 79 0.8× 119 1.4× 71 0.8× 32 0.6× 15 282
Muhammad Owais Khan Pakistan 16 130 1.2× 114 1.2× 43 0.5× 34 0.4× 34 0.6× 45 680
Javier Oliván Bescós Netherlands 10 43 0.4× 129 1.3× 43 0.5× 101 1.2× 17 0.3× 24 625
Maheza Irna Mohamad Salim Malaysia 12 14 0.1× 107 1.1× 102 1.2× 60 0.7× 59 1.1× 37 327

Countries citing papers authored by Justus Schock

Since Specialization
Citations

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

Fields of papers citing papers by Justus Schock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justus Schock

This figure shows the co-authorship network connecting the top 25 collaborators of Justus Schock. A scholar is included among the top collaborators of Justus Schock 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 Justus Schock. Justus Schock 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.
Nolte, Teresa, Justus Schock, Matthias Knobe, et al.. (2023). Getting Cartilage Thickness Measurements Right: A Systematic Inter-Method Comparison Using MRI Data from the Osteoarthritis Initiative. Cartilage. 14(1). 26–38. 2 indexed citations
2.
Müller‐Franzes, Gustav, Teresa Nolte, Justus Schock, et al.. (2022). Fast, Accurate, and Robust T2 Mapping of Articular Cartilage by Neural Networks. Diagnostics. 12(3). 688–688. 6 indexed citations
3.
Detlefsen, Nicki Skafte, et al.. (2022). TorchMetrics - Measuring Reproducibility in PyTorch. The Journal of Open Source Software. 7(70). 4101–4101. 93 indexed citations
4.
Schock, Justus, Teresa Nolte, Matthias Knobe, et al.. (2022). Varus stress MRI in the refined assessment of the posterolateral corner of the knee joint. Scientific Reports. 12(1). 11858–11858. 4 indexed citations
5.
Schock, Justus, Philipp Schad, Teresa Nolte, et al.. (2021). Comprehensive Assessment of Medial Knee Joint Instability by Valgus Stress MRI. Diagnostics. 11(8). 1433–1433. 3 indexed citations
6.
Abrar, Daniel B., David Latz, Justus Schock, et al.. (2021). Micro- and Macroscale Assessment of Posterior Cruciate Ligament Functionality Based on Advanced MRI Techniques. Diagnostics. 11(10). 1790–1790. 7 indexed citations
7.
Schock, Justus, Philipp Schad, Andreas Prescher, et al.. (2021). Seeing Beyond Morphology-Standardized Stress MRI to Assess Human Knee Joint Instability. Diagnostics. 11(6). 1035–1035. 2 indexed citations
8.
Nebelung, Sven, Daniel B. Abrar, Christoph Schleich, et al.. (2021). Deep Learning-Based Post-Processing of Real-Time MRI to Assess and Quantify Dynamic Wrist Movement in Health and Disease. Diagnostics. 11(6). 1077–1077. 13 indexed citations
9.
Schock, Justus, David Latz, Timm J. Filler, et al.. (2021). The MRI posterior drawer test to assess posterior cruciate ligament functionality and knee joint laxity. Scientific Reports. 11(1). 19687–19687. 3 indexed citations
10.
Truhn, Daniel, Justus Schock, Daniel B. Abrar, et al.. (2021). No pressure, no diamonds? - Static vs. dynamic compressive in-situ loading to evaluate human articular cartilage functionality by functional MRI. Journal of the mechanical behavior of biomedical materials. 120. 104558–104558. 7 indexed citations
11.
Schock, Justus, Daniel Truhn, Stefan Conrad, et al.. (2021). Artificial intelligence-based automatic assessment of lower limb torsion on MRI. Scientific Reports. 11(1). 23244–23244. 6 indexed citations
12.
Li, Jianzhang, Sven Nebelung, Justus Schock, et al.. (2021). A Novel Combined Level Set Model for Carpus Segmentation from Magnetic Resonance Images with Prior Knowledge aligned in Polar Coordinate System. Computer Methods and Programs in Biomedicine. 208. 106245–106245. 4 indexed citations
13.
Schock, Justus, Daniel B. Abrar, Philipp Schad, et al.. (2021). In-Situ Cartilage Functionality Assessment Based on Advanced MRI Techniques and Precise Compartmental Knee Joint Loading through Varus and Valgus Stress. Diagnostics. 11(8). 1476–1476. 1 indexed citations
14.
Post, Manuel, Philipp Schad, Justus Schock, et al.. (2020). Identifying the imaging correlates of cartilage functionality based on quantitative MRI mapping - The collagenase exposure model. Acta Biomaterialia. 117. 310–321. 4 indexed citations
15.
Schad, Philipp, Johannes Thüring, Justus Schock, et al.. (2020). Magnetic resonance imaging of human knee joint functionality under variable compressive in-situ loading and axis alignment. Journal of the mechanical behavior of biomedical materials. 110. 103890–103890. 12 indexed citations
16.
Schock, Justus, Daniel Truhn, Daniel B. Abrar, et al.. (2020). Automated Analysis of Alignment in Long-Leg Radiographs by Using a Fully Automated Support System Based on Artificial Intelligence. Radiology Artificial Intelligence. 3(2). e200198–e200198. 48 indexed citations
17.
Schock, Justus, Nils Krämer, Johannes Thüring, et al.. (2020). An MRI-compatible varus–valgus loading device for whole-knee joint functionality assessment based on compartmental compression: a proof-of-concept study. Magnetic Resonance Materials in Physics Biology and Medicine. 33(6). 839–854. 9 indexed citations
18.
Schock, Justus, Manuel Post, Daniel B. Abrar, et al.. (2020). A serial multiparametric quantitative magnetic resonance imaging study to assess proteoglycan depletion of human articular cartilage and its effects on functionality. Scientific Reports. 10(1). 13 indexed citations
19.
Davis, Timothy A., et al.. (2019). Using machine learning to study the kinematics of cold gas in galaxies. Monthly Notices of the Royal Astronomical Society. 4 indexed citations
20.
Kopaczka, Marcin, et al.. (2018). A Thermal Infrared Face Database With Facial Landmarks and Emotion Labels. IEEE Transactions on Instrumentation and Measurement. 68(5). 1389–1401. 55 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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