Electromyographic amplitude normalization methods: improving their sensitivity as diagnostic tools in gait analysis.

448 indexed citations

Abstract

loading...

About

This paper, published in 1984, received 448 indexed citations. Written by Jaynie F. Yang and DA Winter covering the research area of Biomedical Engineering. It is primarily cited by scholars working on Biomedical Engineering (334 citations), Orthopedics and Sports Medicine (140 citations) and Cognitive Neuroscience (98 citations). Published in PubMed.

In The Last Decade

doi.org/w69333284 →

Countries where authors are citing Electromyographic amplitude normalization methods: improving their sensitivity as diagnostic tools in gait analysis.

Specialization
Citations

This map shows the geographic impact of Electromyographic amplitude normalization methods: improving their sensitivity as diagnostic tools in gait analysis.. 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 Electromyographic amplitude normalization methods: improving their sensitivity as diagnostic tools in gait analysis. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Electromyographic amplitude normalization methods: improving their sensitivity as diagnostic tools in gait analysis. more than expected).

Fields of papers citing Electromyographic amplitude normalization methods: improving their sensitivity as diagnostic tools in gait analysis.

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Electromyographic amplitude normalization methods: improving their sensitivity as diagnostic tools in gait analysis.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Electromyographic amplitude normalization methods: improving their sensitivity as diagnostic tools in gait analysis..

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/w69333284.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026