Algorithmic Principles of Remote PPG
- Cardiology and Cardiovascular Medicine
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
In The Last Decade
doi.org/10.1109/tbme.2016.2609282 →Countries where authors are citing Algorithmic Principles of Remote PPG
This map shows the geographic impact of Algorithmic Principles of Remote PPG. 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 Algorithmic Principles of Remote PPG with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Algorithmic Principles of Remote PPG more than expected).
Fields of papers citing Algorithmic Principles of Remote PPG
This network shows the impact of Algorithmic Principles of Remote PPG. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Algorithmic Principles of Remote PPG.
About Algorithmic Principles of Remote PPG
This paper, published in 2016, received 774 indexed citations . Written by Wenjin Wang, Albertus C. den Brinker, Sander Stuijk and Gerard de Haan covering the research area of Cardiology and Cardiovascular Medicine, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. It is primarily cited by scholars working on Biomedical Engineering (700 citations), Cardiology and Cardiovascular Medicine (533 citations) and Surgery (235 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.2016.2609282.