Full-Body Musculoskeletal Model for Muscle-Driven Simulation of Human Gait
Countries where authors are citing Full-Body Musculoskeletal Model for Muscle-Driven Simulation of Human Gait
This map shows the geographic impact of Full-Body Musculoskeletal Model for Muscle-Driven Simulation of Human Gait. 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 Full-Body Musculoskeletal Model for Muscle-Driven Simulation of Human Gait with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Full-Body Musculoskeletal Model for Muscle-Driven Simulation of Human Gait more than expected).
Fields of papers citing Full-Body Musculoskeletal Model for Muscle-Driven Simulation of Human Gait
This network shows the impact of Full-Body Musculoskeletal Model for Muscle-Driven Simulation of Human Gait. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Full-Body Musculoskeletal Model for Muscle-Driven Simulation of Human Gait.
About Full-Body Musculoskeletal Model for Muscle-Driven Simulation of Human Gait
This paper, published in 2016, received 628 indexed citations . Written by Apoorva Rajagopal, Christopher L. Dembia, Matthew S. DeMers, Jennifer L. Hicks and Scott L. Delp covering the research area of Physical Therapy, Sports Therapy and Rehabilitation and Biomedical Engineering. It is primarily cited by scholars working on Biomedical Engineering (492 citations), Orthopedics and Sports Medicine (173 citations) and Surgery (158 citations). Published in IEEE Transactions on Biomedical Engineering.
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.
This paper is also available at doi.org/10.1109/tbme.2016.2586891.