Interpreting Signal Amplitudes in Surface Electromyography Studies in Sport and Rehabilitation Sciences

Abstract

loading...

About

This paper, published in 1950, received 318 indexed citations. Written by Andrew D. Vigotsky, Israel Halperin, Gregory J Lehman, Gabriel S. Trajano and Taian Vieira covering the research area of Orthopedics and Sports Medicine and Biomedical Engineering. It is primarily cited by scholars working on Biomedical Engineering (222 citations), Orthopedics and Sports Medicine (164 citations) and Cognitive Neuroscience (65 citations). Published in Frontiers in Physiology.

Countries where authors are citing Interpreting Signal Amplitudes in Surface Electromyography Studies in Sport and Rehabilitation Sciences

Since Specialization
Citations

This map shows the geographic impact of Interpreting Signal Amplitudes in Surface Electromyography Studies in Sport and Rehabilitation Sciences. 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 Interpreting Signal Amplitudes in Surface Electromyography Studies in Sport and Rehabilitation Sciences with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Interpreting Signal Amplitudes in Surface Electromyography Studies in Sport and Rehabilitation Sciences more than expected).

Fields of papers citing Interpreting Signal Amplitudes in Surface Electromyography Studies in Sport and Rehabilitation Sciences

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Interpreting Signal Amplitudes in Surface Electromyography Studies in Sport and Rehabilitation Sciences. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Interpreting Signal Amplitudes in Surface Electromyography Studies in Sport and Rehabilitation Sciences.

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/10.3389/fphys.2017.00985.

Explore hit-papers with similar magnitude of impact

Breakdown of academic impact, for the paper Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China Breakdown of academic impact, for the paper Tolerance of uncertainty: Conceptual analysis, integrative model, and implications for healthcare Breakdown of academic impact, for the paper Additive engineering for robust interphases to stabilize high-Ni layered structures at ultra-high voltage of 4.8 V Breakdown of academic impact, for the paper The food environment, its effects on dietary consumption, and potential for measurement within agriculture-nutrition interventions Breakdown of academic impact, for the paper Alkoxy Radicals See the Light: New Paradigms of Photochemical Synthesis Breakdown of academic impact, for the paper The Coming of Age for Qualitative Research: Embracing the Diversity of Qualitative Methods Breakdown of academic impact, for the paper Characterization, determination and elimination technologies for sulfur from petroleum: Toward cleaner fuel and a safe environment Breakdown of academic impact, for the paper Developing student autonomy in learning
Rankless by CCL
2026