Healthcare Technology Letters

368 papers and 4.4k indexed citations i.

About

The 368 papers published in Healthcare Technology Letters in the last decades have received a total of 4.4k indexed citations. Papers published in Healthcare Technology Letters usually cover Biomedical Engineering (139 papers), Computer Vision and Pattern Recognition (91 papers) and Surgery (68 papers) specifically the topics of Non-Invasive Vital Sign Monitoring (52 papers), ECG Monitoring and Analysis (47 papers) and Surgical Simulation and Training (42 papers). The most active scholars publishing in Healthcare Technology Letters are Salim Lahmiri, Mohammad Tariqul Islam, Hadas Lewy, Samarendra Dandapat, Ishita Bhakta, Arkaprabha Sau, M. Sabarimalai Manikandan, Barathram Ramkumar, Jianfeng Hu and Raafat Aburukba.

In The Last Decade

Fields of papers published in Healthcare Technology Letters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Healthcare Technology Letters. 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 Healthcare Technology Letters.

Countries where authors publish in Healthcare Technology Letters

Since Specialization
Citations

This map shows the geographic impact of research published in Healthcare Technology Letters. 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 Healthcare Technology Letters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Healthcare Technology Letters 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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