Richard Kijowski

1.1k total citations
31 papers, 728 citations indexed

About

Richard Kijowski is a scholar working on Biomedical Engineering, Surgery and Rheumatology. According to data from OpenAlex, Richard Kijowski has authored 31 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 12 papers in Surgery and 11 papers in Rheumatology. Recurrent topics in Richard Kijowski's work include Osteoarthritis Treatment and Mechanisms (10 papers), Total Knee Arthroplasty Outcomes (6 papers) and Lower Extremity Biomechanics and Pathologies (6 papers). Richard Kijowski is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (10 papers), Total Knee Arthroplasty Outcomes (6 papers) and Lower Extremity Biomechanics and Pathologies (6 papers). Richard Kijowski collaborates with scholars based in United States, Germany and Switzerland. Richard Kijowski's co-authors include Jan Fritz, Alejandro Muñoz del Río, Ben K. Graf, Geoffrey S. Baer, Donna G. Blankenbaker, Arthur De Smet, James J. Choi, Scott B. Reeder, Frank W. Roemer and Benjamin Fritz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and American Journal of Roentgenology.

In The Last Decade

Richard Kijowski

28 papers receiving 712 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Kijowski United States 15 355 305 281 201 199 31 728
Anna Hirschmann Switzerland 18 616 1.7× 360 1.2× 162 0.6× 260 1.3× 185 0.9× 63 986
Sarah C. Foreman United States 15 258 0.7× 167 0.5× 187 0.7× 81 0.4× 220 1.1× 42 606
Kevin Lian Canada 7 225 0.6× 166 0.5× 82 0.3× 134 0.7× 145 0.7× 13 490
Raphaël Guillin France 17 581 1.6× 104 0.3× 97 0.3× 245 1.2× 174 0.9× 52 799
Tim Finkenstaedt Switzerland 13 163 0.5× 179 0.6× 64 0.2× 96 0.5× 232 1.2× 31 488
Danielle E. Whittier Canada 13 213 0.6× 117 0.4× 37 0.1× 402 2.0× 134 0.7× 33 645
Luca Facchetti United States 15 249 0.7× 107 0.4× 204 0.7× 89 0.4× 39 0.2× 30 444
Christoph J. Laux Switzerland 13 306 0.9× 104 0.3× 68 0.2× 68 0.3× 43 0.2× 46 499
Francesco Di Pietto Italy 15 443 1.2× 58 0.2× 50 0.2× 111 0.6× 66 0.3× 42 574
Romain Gillet France 11 141 0.4× 108 0.4× 40 0.1× 34 0.2× 118 0.6× 57 388

Countries citing papers authored by Richard Kijowski

Since Specialization
Citations

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

Fields of papers citing papers by Richard Kijowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Kijowski

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Kijowski. A scholar is included among the top collaborators of Richard Kijowski 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 Richard Kijowski. Richard Kijowski 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.
Walter, Sven S., Jan Vosshenrich, Tatiane Cantarelli Rodrigues, et al.. (2025). Deep Learning Superresolution for Simultaneous Multislice Parallel Imaging–Accelerated Knee MRI Using Arthroscopy Validation. Radiology. 314(1). e241249–e241249. 8 indexed citations
2.
He, Xingxin, Albert Jang, Zhaoye Zhou, et al.. (2025). Visual-language artificial intelligence system for knee radiograph diagnosis and interpretation: a collaborative system with humans. PubMed. 2(5). umaf027–umaf027.
3.
Zhang, Chaojie, Shengjia Chen, Çiğdem Özkan, et al.. (2025). MR-Transformer: A Vision Transformer-based Deep Learning Model for Total Knee Replacement Prediction Using MRI. Radiology Artificial Intelligence. 7(5). e240373–e240373.
4.
Zhang, Chaojie, et al.. (2024). MR-Transformer: Vision Transformers for Total Knee Replacement Prediction using Magnetic Resonance Imaging. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.
5.
Montin, Eros, Richard Kijowski, Thomas Youm, & Riccardo Lattanzi. (2024). Radiomics features outperform standard radiological measurements in detecting femoroacetabular impingement on three‐dimensional magnetic resonance imaging. Journal of Orthopaedic Research®. 42(12). 2796–2807. 3 indexed citations
6.
Wille, Christa M., et al.. (2023). MRI radiomics for hamstring strain injury identification and return to sport classification: a pilot study. Skeletal Radiology. 53(4). 637–648. 3 indexed citations
7.
Zibetti, Marcelo V. W., et al.. (2023). Repeatability of Quantitative Knee Cartilage T1, T2, and T Mapping With 3D‐MRI Fingerprinting. Journal of Magnetic Resonance Imaging. 60(2). 688–699. 1 indexed citations
8.
Kijowski, Richard, et al.. (2023). Age and Gender‐Dependence of Single‐and Bi‐Exponential T1ρ MR Parameters in Knee Ligaments. Journal of Magnetic Resonance Imaging. 60(2). 702–712. 1 indexed citations
9.
Kijowski, Richard, et al.. (2023). Characterization of Age‐Related and Sex‐Related Differences of Relaxation Parameters in the Intervertebral Disc Using MR‐Fingerprinting. Journal of Magnetic Resonance Imaging. 59(4). 1312–1324. 5 indexed citations
10.
Zibetti, Marcelo V. W., et al.. (2023). Updates on Compositional MRI Mapping of the Cartilage: Emerging Techniques and Applications. Journal of Magnetic Resonance Imaging. 58(1). 44–60. 19 indexed citations
11.
Walter, Sven S., Benjamin Fritz, Richard Kijowski, & Jan Fritz. (2023). 2D versus 3D MRI of osteoarthritis in clinical practice and research. Skeletal Radiology. 52(11). 2211–2224. 10 indexed citations
12.
Kijowski, Richard, Jan Fritz, & Cem M. Deniz. (2023). Deep learning applications in osteoarthritis imaging. Skeletal Radiology. 52(11). 2225–2238. 18 indexed citations
13.
Kijowski, Richard, Azadeh Sharafi, Marcelo V. W. Zibetti, et al.. (2022). Age‐Dependent Changes in Knee Cartilage T1, T2, and T1pSimultaneously Measured Using MRI Fingerprinting. Journal of Magnetic Resonance Imaging. 57(6). 1805–1812. 6 indexed citations
14.
Fritz, Jan, Richard Kijowski, & Michael P. Recht. (2021). Artificial intelligence in musculoskeletal imaging: a perspective on value propositions, clinical use, and obstacles. Skeletal Radiology. 51(2). 239–243. 29 indexed citations
15.
Roemer, Frank W., et al.. (2021). Imaging in Osteoarthritis. Osteoarthritis and Cartilage. 30(7). 913–934. 65 indexed citations
16.
Kijowski, Richard, et al.. (2014). Quantitative Magnetic Resonance Imaging of the Articular Cartilage of the Knee Joint. Magnetic Resonance Imaging Clinics of North America. 22(4). 649–669. 8 indexed citations
17.
Kijowski, Richard, James J. Choi, Kazuhiko Shinki, Alejandro Muñoz del Río, & Arthur De Smet. (2012). Validation of MRI Classification System for Tibial Stress Injuries. American Journal of Roentgenology. 198(4). 878–884. 73 indexed citations
18.
Kijowski, Richard, et al.. (2007). Significance of radiographic abnormalities in patients with tibial stress injuries: correlation with magnetic resonance imaging. Skeletal Radiology. 36(7). 633–640. 27 indexed citations
19.
Kijowski, Richard & Arthur A. De Smet. (2006). The Role of Ultrasound in the Evaluation of Sports Medicine Injuries of the Upper Extremity. Clinics in Sports Medicine. 25(3). 569–590. 27 indexed citations
20.
Kijowski, Richard, Aiming Lu, Walter F. Block, & Thomas M. Grist. (2006). Evaluation of the articular cartilage of the knee joint with vastly undersampled isotropic projection reconstruction steady‐state free precession imaging. Journal of Magnetic Resonance Imaging. 24(1). 168–175. 27 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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