Bryce A. Killen

950 total citations
32 papers, 628 citations indexed

About

Bryce A. Killen is a scholar working on Biomedical Engineering, Surgery and Rheumatology. According to data from OpenAlex, Bryce A. Killen has authored 32 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Biomedical Engineering, 22 papers in Surgery and 7 papers in Rheumatology. Recurrent topics in Bryce A. Killen's work include Lower Extremity Biomechanics and Pathologies (16 papers), Knee injuries and reconstruction techniques (10 papers) and Muscle activation and electromyography studies (10 papers). Bryce A. Killen is often cited by papers focused on Lower Extremity Biomechanics and Pathologies (16 papers), Knee injuries and reconstruction techniques (10 papers) and Muscle activation and electromyography studies (10 papers). Bryce A. Killen collaborates with scholars based in Belgium, Australia and Austria. Bryce A. Killen's co-authors include David G. Lloyd, David J. Saxby, Ilse Jonkers, Claudio Pizzolato, Adam L. Bryant, Luca Modenese, Tim V. Wrigley, Karine Fortin, Thor F. Besier and Pauline Gerus and has published in prestigious journals such as PLoS ONE, Medicine & Science in Sports & Exercise and Journal of Biomechanics.

In The Last Decade

Bryce A. Killen

26 papers receiving 626 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bryce A. Killen Belgium 16 441 350 186 73 70 32 628
Casey A. Myers United States 16 430 1.0× 689 2.0× 222 1.2× 33 0.5× 66 0.9× 51 963
Giordano Valente Italy 10 343 0.8× 277 0.8× 114 0.6× 81 1.1× 31 0.4× 23 530
Felix Stief Germany 17 397 0.9× 483 1.4× 178 1.0× 92 1.3× 173 2.5× 63 777
Pauline Gerus France 13 495 1.1× 334 1.0× 245 1.3× 65 0.9× 97 1.4× 25 682
Nathalie Alexander Switzerland 12 294 0.7× 165 0.5× 120 0.6× 68 0.9× 21 0.3× 44 434
Defne Kaya Türkiye 16 341 0.8× 307 0.9× 506 2.7× 60 0.8× 47 0.7× 60 827
René Fluit Netherlands 10 462 1.0× 349 1.0× 86 0.5× 30 0.4× 40 0.6× 22 668
Scott D. Uhlrich United States 15 379 0.9× 215 0.6× 153 0.8× 51 0.7× 164 2.3× 32 688
Mariska Wesseling Belgium 20 722 1.6× 640 1.8× 227 1.2× 179 2.5× 214 3.1× 54 1.1k
Hans Kainz Austria 17 637 1.4× 426 1.2× 191 1.0× 271 3.7× 35 0.5× 65 988

Countries citing papers authored by Bryce A. Killen

Since Specialization
Citations

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

Fields of papers citing papers by Bryce A. Killen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bryce A. Killen

This figure shows the co-authorship network connecting the top 25 collaborators of Bryce A. Killen. A scholar is included among the top collaborators of Bryce A. Killen 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 Bryce A. Killen. Bryce A. Killen 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.
Killen, Bryce A., et al.. (2025). Muscle force imbalances predict clubfoot recurrence risk: A musculoskeletal modelling approach. Computer Methods and Programs in Biomedicine. 270. 108972–108972.
2.
Killen, Bryce A., et al.. (2024). An open-source framework for the generation of OpenSim models with personalised knee joint geometries for the estimation of articular contact mechanics. Journal of Biomechanics. 177. 112387–112387. 2 indexed citations
3.
Killen, Bryce A., et al.. (2024). Population‐based in silico modeling of anatomical shape variation of the knee and its impact on joint loading in knee osteoarthritis. Journal of Orthopaedic Research®. 42(11). 2473–2484. 4 indexed citations
4.
Postolka, Barbara, Bryce A. Killen, S. Clockaerts, et al.. (2024). Hindfoot kinematics and kinetics - A combined in vivo and in silico analysis approach. Gait & Posture. 112. 8–15. 1 indexed citations
5.
Jonkers, Ilse, et al.. (2023). In Silico Biomarkers of Motor Function to Inform Musculoskeletal Rehabilitation and Orthopedic Treatment. Journal of Applied Biomechanics. 39(5). 284–293.
6.
7.
Killen, Bryce A., et al.. (2023). PROGRESSION OF MEDIAL KNEE OSTEOARTHRITIS OVER A TWO-YEAR PERIOD IS ASSOCIATED WITH ALTERED MEDIAL KNEE JOINT LOADING MAGNITUDE AND LOCATION. Orthopaedic Proceedings. 105-B(SUPP_7). 149–149. 1 indexed citations
8.
Davico, Giorgio, David G. Lloyd, Christopher P. Carty, et al.. (2022). Multi-level personalization of neuromusculoskeletal models to estimate physiologically plausible knee joint contact forces in children. Biomechanics and Modeling in Mechanobiology. 21(6). 1873–1886. 23 indexed citations
9.
Killen, Bryce A., et al.. (2022). Unique shape variations of hind and midfoot bones in flatfoot subjects—A statistical shape modeling approach. Clinical Anatomy. 36(6). 848–857. 8 indexed citations
10.
Wang, Xinyang, Kim L. Bennell, Yuanyuan Wang, et al.. (2021). Patellar cartilage increase following ACL reconstruction with and without meniscal pathology: a two-year prospective MRI morphological study. BMC Musculoskeletal Disorders. 22(1). 909–909.
11.
12.
Kainz, Hans, et al.. (2021). Torsion Tool: An automated tool for personalising femoral and tibial geometries in OpenSim musculoskeletal models. Journal of Biomechanics. 125. 110589–110589. 23 indexed citations
13.
Diamond, Laura E., Claudio Pizzolato, Bryce A. Killen, et al.. (2020). Development and validation of statistical shape models of the primary functional bone segments of the foot. PeerJ. 8. e8397–e8397. 34 indexed citations
14.
15.
Killen, Bryce A., et al.. (2020). Automated creation and tuning of personalised muscle paths for OpenSim musculoskeletal models of the knee joint. Biomechanics and Modeling in Mechanobiology. 20(2). 521–533. 24 indexed citations
16.
Davico, Giorgio, et al.. (2019). Best methods and data to reconstruct paediatric lower limb bones for musculoskeletal modelling. Biomechanics and Modeling in Mechanobiology. 19(4). 1225–1238. 26 indexed citations
17.
Diamond, Laura E., David G. Lloyd, Thor F. Besier, et al.. (2019). Minimal medical imaging can accurately reconstruct geometric bone models for musculoskeletal models. PLoS ONE. 14(2). e0205628–e0205628. 30 indexed citations
18.
Konrath, Jason M., David J. Saxby, Bryce A. Killen, et al.. (2017). Muscle contributions to medial tibiofemoral compartment contact loading following ACL reconstruction using semitendinosus and gracilis tendon grafts. PLoS ONE. 12(4). e0176016–e0176016. 29 indexed citations
19.
Saxby, David J., Luca Modenese, Adam L. Bryant, et al.. (2016). Tibiofemoral contact forces during walking, running and sidestepping. Gait & Posture. 49. 78–85. 106 indexed citations
20.
Saxby, David J., Adam L. Bryant, Luca Modenese, et al.. (2016). Tibiofemoral Contact Forces in the Anterior Cruciate Ligament–Reconstructed Knee. Medicine & Science in Sports & Exercise. 48(11). 2195–2206. 67 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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