Health Information Science and Systems

329 papers and 6.1k indexed citations i.

About

The 329 papers published in Health Information Science and Systems in the last decades have received a total of 6.1k indexed citations. Papers published in Health Information Science and Systems usually cover Artificial Intelligence (101 papers), Radiology, Nuclear Medicine and Imaging (63 papers) and Molecular Biology (55 papers) specifically the topics of Artificial Intelligence in Healthcare (36 papers), EEG and Brain-Computer Interfaces (35 papers) and AI in cancer detection (32 papers). The most active scholars publishing in Health Information Science and Systems are Viju Raghupathi, Wullianallur Raghupathi, Abdülkadir Şengür, Gang Luo, Varun Bajaj, Tuan D. Pham, Yanhui Guo, Hua Wang, Yanchun Zhang and Muhammad Ashad Kabir.

In The Last Decade

Fields of papers published in Health Information Science and Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Health Information Science and Systems. 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 Health Information Science and Systems.

Countries where authors publish in Health Information Science and Systems

Since Specialization
Citations

This map shows the geographic impact of research published in Health Information Science and Systems. 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 Health Information Science and Systems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Health Information Science and Systems 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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2025