Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring
In The Last Decade
doi.org/10.1109/tbme.2016.2580904 →Countries where authors are citing Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring
This map shows the geographic impact of Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring. 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 Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring more than expected).
Fields of papers citing Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring
This network shows the impact of Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring.
About Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring
This paper, published in 2016, received 445 indexed citations . Written by Mohammad Kachuee, Mohammad Mahdi Kiani, Hoda Mohammadzade and Mahdi Shabany covering the research area of Biomedical Engineering and Cardiology and Cardiovascular Medicine. It is primarily cited by scholars working on Biomedical Engineering (417 citations), Cardiology and Cardiovascular Medicine (367 citations), Surgery (223 citations), Cognitive Neuroscience (29 citations) and Radiology, Nuclear Medicine and Imaging (23 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.2016.2580904.