Scott D. Uhlrich

1.4k total citations · 1 hit paper
32 papers, 688 citations indexed

About

Scott D. Uhlrich is a scholar working on Biomedical Engineering, Surgery and Rheumatology. According to data from OpenAlex, Scott D. Uhlrich has authored 32 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 11 papers in Surgery and 11 papers in Rheumatology. Recurrent topics in Scott D. Uhlrich's work include Osteoarthritis Treatment and Mechanisms (11 papers), Lower Extremity Biomechanics and Pathologies (10 papers) and Knee injuries and reconstruction techniques (7 papers). Scott D. Uhlrich is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (11 papers), Lower Extremity Biomechanics and Pathologies (10 papers) and Knee injuries and reconstruction techniques (7 papers). Scott D. Uhlrich collaborates with scholars based in United States, United Kingdom and China. Scott D. Uhlrich's co-authors include Scott L. Delp, Jennifer L. Hicks, Łukasz Kidziński, Antoine Falisse, Gary S. Beaupré, Akshay Chaudhari, Ajay Seth, Garry E. Gold, Michael Ko and Rachel W. Jackson and has published in prestigious journals such as Scientific Reports, Journal of Biomechanics and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Scott D. Uhlrich

28 papers receiving 681 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

OpenCap: Human movement dynamics from smartphone videos

2023 133 citations Scott D. Uhlrich, Antoine Falisse et al. PLoS Computational Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Scott D. Uhlrich United States	15	379	215	164	153	96	32	688
Scott C.E. Brandon Canada	14	493 1.3×	326 1.5×	158 1.0×	232 1.5×	60 0.6×	36	801
Natasha M. Krowchuk Canada	11	263 0.7×	164 0.8×	163 1.0×	95 0.6×	106 1.1×	27	493
Corina Nüesch Switzerland	20	490 1.3×	431 2.0×	215 1.3×	285 1.9×	209 2.2×	77	1.1k
Casey A. Myers United States	16	430 1.1×	689 3.2×	66 0.4×	222 1.5×	46 0.5×	51	963
R. Richards Netherlands	10	384 1.0×	258 1.2×	237 1.4×	76 0.5×	59 0.6×	23	550
Katia Turcot Canada	19	620 1.6×	495 2.3×	302 1.8×	109 0.7×	167 1.7×	74	1.1k
Blayne A. Hettinga Canada	16	531 1.4×	148 0.7×	147 0.9×	302 2.0×	119 1.2×	20	729
Calvin T.F. Tse Canada	8	221 0.6×	141 0.7×	70 0.4×	65 0.4×	105 1.1×	13	388
Reginaldo Fukuchi Brazil	9	621 1.6×	201 0.9×	121 0.7×	347 2.3×	286 3.0×	19	1.0k
Chris Kirtley Australia	9	393 1.0×	153 0.7×	88 0.5×	109 0.7×	147 1.5×	20	683

Countries citing papers authored by Scott D. Uhlrich

Since Specialization

Citations

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

Fields of papers citing papers by Scott D. Uhlrich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott D. Uhlrich. 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 Scott D. Uhlrich. The network helps show where Scott D. Uhlrich may publish in the future.

Co-authorship network of co-authors of Scott D. Uhlrich

This figure shows the co-authorship network connecting the top 25 collaborators of Scott D. Uhlrich. A scholar is included among the top collaborators of Scott D. Uhlrich 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 Scott D. Uhlrich. Scott D. Uhlrich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Falisse, Antoine, et al.. (2025). Marker Data Enhancement for Markerless Motion Capture. IEEE Transactions on Biomedical Engineering. 72(6). 2013–2022. 5 indexed citations

Uhlrich, Scott D., Antoine Falisse, Sydney Covitz, et al.. (2025). Video-Based Biomechanical Analysis Captures Disease-Specific Movement Signatures of Different Neuromuscular Diseases. NEJM AI. 2(9).

Rogers, Christian, et al.. (2025). Enhancing stroke recovery assessment: A machine learning approach to real-world hand function analysis. International Journal of Medical Informatics. 204. 106077–106077. 1 indexed citations

Uhlrich, Scott D., Valentina Mazzoli, Amy Silder, et al.. (2025). Personalised gait retraining for medial compartment knee osteoarthritis: a randomised controlled trial. The Lancet Rheumatology. 7(10). e708–e718.

Tan, Tian, Rishi Agarwal, Scott D. Uhlrich, et al.. (2024). AddBiomechanics Dataset: Capturing the Physics of Human Motion at Scale. Lecture notes in computer science. 15146. 490–508. 1 indexed citations

Tan, Tian, Peter B. Shull, Jennifer L. Hicks, Scott D. Uhlrich, & Akshay Chaudhari. (2024). Self-Supervised Learning Improves Accuracy and Data Efficiency for IMU-Based Ground Reaction Force Estimation. IEEE Transactions on Biomedical Engineering. 71(7). 2095–2104. 6 indexed citations

Uhlrich, Scott D., et al.. (2023). Ten steps to becoming a musculoskeletal simulation expert: A half-century of progress and outlook for the future. Journal of Biomechanics. 154. 111623–111623. 20 indexed citations

Diamond, Laura E., et al.. (2023). Osteoarthritis year in review 2023: Biomechanics. Osteoarthritis and Cartilage. 32(2). 138–147. 33 indexed citations

Uhlrich, Scott D., Antoine Falisse, Łukasz Kidziński, et al.. (2023). OpenCap: Human movement dynamics from smartphone videos. PLoS Computational Biology. 19(10). e1011462–e1011462. 133 indexed citations breakdown →

10.

Tan, Tian, Anthony A. Gatti, Bingfei Fan, et al.. (2023). A scoping review of portable sensing for out-of-lab anterior cruciate ligament injury prevention and rehabilitation. npj Digital Medicine. 6(1). 46–46. 16 indexed citations

11.

Hicks, Jennifer L., et al.. (2023). Simulating Muscle-Level Energetic Cost Savings When Humans Run With a Passive Assistive Device. IEEE Robotics and Automation Letters. 8(10). 6267–6274. 3 indexed citations

12.

Kidziński, Łukasz, et al.. (2023). Smartphone videos of the sit-to-stand test predict osteoarthritis and health outcomes in a nationwide study. npj Digital Medicine. 6(1). 32–32. 28 indexed citations

13.

Seagers, Kirsten, et al.. (2023). Can static optimization detect changes in peak medial knee contact forces induced by gait modifications?. Journal of Biomechanics. 152. 111569–111569. 16 indexed citations

14.

Haddock, Bryan, James Mackay, Janelle Baker, et al.. (2022). [18F]Sodium fluoride PET-MRI detects increased metabolic bone response to whole-joint loading stress in osteoarthritic knees. Osteoarthritis and Cartilage. 30(11). 1515–1525. 14 indexed citations

15.

Borno, Mazen Al, Johanna O’Day, James J. Dunne, et al.. (2022). OpenSense: An open-source toolbox for inertial-measurement-unit-based measurement of lower extremity kinematics over long durations. Journal of NeuroEngineering and Rehabilitation. 19(1). 22–22. 94 indexed citations

16.

Uhlrich, Scott D., et al.. (2022). Muscle coordination retraining inspired by musculoskeletal simulations reduces knee contact force. Scientific Reports. 12(1). 9842–9842. 53 indexed citations

17.

Uhlrich, Scott D., Łukasz Kidziński, Kevin A. Thomas, et al.. (2021). A neural network to predict the knee adduction moment in patients with osteoarthritis using anatomical landmarks obtainable from 2D video analysis. Osteoarthritis and Cartilage. 29(3). 346–356. 43 indexed citations

18.

Haddock, Bryan, Audrey P. Fan, Scott D. Uhlrich, et al.. (2019). Assessment of acute bone loading in humans using [18F]NaF PET/MRI. European Journal of Nuclear Medicine and Molecular Imaging. 46(12). 2452–2463. 26 indexed citations

19.

Uhlrich, Scott D., Amy Silder, Darryn S. Willoughby, et al.. (2019). Six weeks of personalized gait retraining to offload the medial compartment of the knee reduces pain more than sham gait retraining. Osteoarthritis and Cartilage. 27. S28–S28. 5 indexed citations

20.

Uhlrich, Scott D., Amy Silder, Gary S. Beaupré, Peter B. Shull, & Scott L. Delp. (2017). Subject-specific toe-in or toe-out gait modifications reduce the larger knee adduction moment peak more than a non-personalized approach. Journal of Biomechanics. 66. 103–110. 58 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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