Richard Kijowski

7.6k total citations · 2 hit papers
121 papers, 5.3k citations indexed

About

Richard Kijowski is a scholar working on Surgery, Rheumatology and Biomedical Engineering. According to data from OpenAlex, Richard Kijowski has authored 121 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Surgery, 54 papers in Rheumatology and 37 papers in Biomedical Engineering. Recurrent topics in Richard Kijowski's work include Osteoarthritis Treatment and Mechanisms (49 papers), Total Knee Arthroplasty Outcomes (26 papers) and Knee injuries and reconstruction techniques (25 papers). Richard Kijowski is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (49 papers), Total Knee Arthroplasty Outcomes (26 papers) and Knee injuries and reconstruction techniques (25 papers). Richard Kijowski collaborates with scholars based in United States, Germany and Canada. Richard Kijowski's co-authors include Fang Liu, Arthur A. De Smet, Donna G. Blankenbaker, Alexey Samsonov, Zhaoye Zhou, Hyungseok Jang, Garry E. Gold, Kazuhiko Shinki, Jason P. Fine and Gengyan Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Radiology.

In The Last Decade

Richard Kijowski

120 papers receiving 5.2k citations

Hit Papers

Deep Learning MR Imaging–based Attenuation Correction for... 2017 2026 2020 2023 2017 2018 50 100 150 200 250

Peers

Richard Kijowski
J. Bruce Kneeland United States
Saara Tötterman United States
Kimberly K. Amrami United States
Timothy J. Mosher United States
Thomas M. Link United States
Laura M. Fayad United States
Lorenzo Nardo United States
Charles Peterfy United States
Kathryn J. Stevens United States
J. Bruce Kneeland United States
Richard Kijowski
Citations per year, relative to Richard Kijowski Richard Kijowski (= 1×) peers J. Bruce Kneeland

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.
Özkan, Çiğdem, et al.. (2025). Estimation of time-to-total knee replacement surgery with multimodal modeling and artificial intelligence. Computers in Biology and Medicine. 193. 110364–110364. 1 indexed citations
2.
Raya, José G., et al.. (2024). DTI AS A BIOMARKER TO PREDICT PROGRESSION IN EARLY OA. 4. 100209–100209.
3.
Taslakian, Bedros, Mukundan Attur, Richard Kijowski, et al.. (2023). Genicular Artery Embolization for Treatment of Knee Osteoarthritis: Interim Analysis of a Prospective Pilot Trial Including Effect on Serum Osteoarthritis-Associated Biomarkers. Journal of Vascular and Interventional Radiology. 34(12). 2180–2189.e3. 21 indexed citations
4.
Taslakian, Bedros, Larry E. Miller, Tarub S. Mabud, et al.. (2023). Genicular artery embolization for treatment of knee osteoarthritis pain: Systematic review and meta-analysis. SHILAP Revista de lepidopterología. 5(2). 100342–100342. 35 indexed citations
5.
Guan, Bochen, Fang Liu, Shadpour Demehri, et al.. (2021). Deep learning approach to predict pain progression in knee osteoarthritis. Skeletal Radiology. 51(2). 363–373. 60 indexed citations
6.
Roemer, Frank W., Shadpour Demehri, Patrick Omoumi, et al.. (2020). State of the Art: Imaging of Osteoarthritis—Revisited 2020. Radiology. 296(1). 5–21. 111 indexed citations
7.
Liu, Fang, Bochen Guan, Zhaoye Zhou, et al.. (2019). Fully Automated Diagnosis of Anterior Cruciate Ligament Tears on Knee MR Images by Using Deep Learning. Radiology Artificial Intelligence. 1(3). 180091–180091. 112 indexed citations
8.
Kijowski, Richard, Fang Liu, Francesco Calivá, & Valentina Pedoia. (2019). Deep Learning for Lesion Detection, Progression, and Prediction of Musculoskeletal Disease. Journal of Magnetic Resonance Imaging. 52(6). 1607–1619. 72 indexed citations
9.
Kijowski, Richard, Donna G. Blankenbaker, Fang Liu, et al.. (2019). Preoperative MRI Shoulder Findings Associated with Clinical Outcome 1 Year after Rotator Cuff Repair. Radiology. 291(3). 722–729. 14 indexed citations
10.
Kijowski, Richard. (2019). A year in review: imaging. Osteoarthritis and Cartilage. 27. S21–S21. 1 indexed citations
11.
Shakoor, Delaram, Richard Kijowski, Ali Guermazi, et al.. (2018). Diagnosis of Knee Meniscal Injuries by Using Three-dimensional MRI: A Systematic Review and Meta-Analysis of Diagnostic Performance. Radiology. 290(2). 435–445. 31 indexed citations
12.
Gold, Garry E., Flavia Cicuttini, M.D. Crema, et al.. (2015). OARSI Clinical Trials Recommendations: Hip imaging in clinical trials in osteoarthritis. Osteoarthritis and Cartilage. 23(5). 716–731. 132 indexed citations
13.
Hunter, David J., Roy D. Altman, Flavia Cicuttini, et al.. (2015). OARSI Clinical Trials Recommendations: Knee imaging in clinical trials in osteoarthritis. Osteoarthritis and Cartilage. 23(5). 698–715. 113 indexed citations
14.
Rabago, David, Jeffrey J. Patterson, Marlon P. Mundt, et al.. (2014). Dextrose and Morrhuate Sodium Injections (Prolotherapy) for Knee Osteoarthritis: A Prospective Open-Label Trial. The Journal of Alternative and Complementary Medicine. 20(5). 383–391. 23 indexed citations
15.
Samsonov, Alexey, et al.. (2014). Cross-relaxation imaging of human patellar cartilage in vivo at 3.0T. Osteoarthritis and Cartilage. 22(10). 1568–1576. 11 indexed citations
16.
Rabago, David, Aleksandra Zgierska, Luke Fortney, et al.. (2012). Hypertonic Dextrose Injections (Prolotherapy) for Knee Osteoarthritis: Results of a Single-Arm Uncontrolled Study with 1-Year Follow-Up. The Journal of Alternative and Complementary Medicine. 18(4). 408–414. 69 indexed citations
17.
Kijowski, Richard, Kirkland W. Davis, Donna G. Blankenbaker, et al.. (2011). Evaluation of the menisci of the knee joint using three-dimensional isotropic resolution fast spin-echo imaging: diagnostic performance in 250 patients with surgical correlation. Skeletal Radiology. 41(2). 169–178. 52 indexed citations
18.
Chourasia, Amrish O., Kevin A. Buhr, David Rabago, Richard Kijowski, & Mary E. Sesto. (2011). The effect of lateral epicondylosis on upper limb mechanical parameters. Clinical Biomechanics. 27(2). 124–130. 11 indexed citations
19.
Kijowski, Richard, Donna G. Blankenbaker, Kazuhiko Shinki, et al.. (2008). Juvenile versus Adult Osteochondritis Dissecans of the Knee: Appropriate MR Imaging Criteria for Instability. Radiology. 248(2). 571–578. 136 indexed citations
20.
Kijowski, Richard, Donna G. Blankenbaker, Paul Stanton, Jason P. Fine, & Arthur A. De Smet. (2006). Radiographic Findings of Osteoarthritis versus Arthroscopic Findings of Articular Cartilage Degeneration in the Tibiofemoral Joint. Radiology. 239(3). 818–824. 73 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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