Physiological Measurement

3.8k papers and 91.5k indexed citations i.

About

The 3.8k papers published in Physiological Measurement in the last decades have received a total of 91.5k indexed citations. Papers published in Physiological Measurement usually cover Biomedical Engineering (1.5k papers), Cardiology and Cardiovascular Medicine (1.3k papers) and Electrical and Electronic Engineering (836 papers) specifically the topics of Non-Invasive Vital Sign Monitoring (782 papers), Electrical and Bioimpedance Tomography (776 papers) and Heart Rate Variability and Autonomic Control (623 papers). The most active scholars publishing in Physiological Measurement are John Allen, William Lionheart, J. Young, Gari D. Clifford, Andy Adler, Ronney B. Panerai, P.N.T. Wells, Paul S. Addison, J. D. Briers and David Holder.

In The Last Decade

Fields of papers published in Physiological Measurement

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Physiological Measurement. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Physiological Measurement.

Countries where authors publish in Physiological Measurement

Since Specialization
Citations

This map shows the geographic impact of research published in Physiological Measurement. 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 papers published in Physiological Measurement with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Physiological Measurement more than expected).

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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