Journal of Applied Biomedicine

1.0k papers and 16.5k indexed citations i.

About

The 1.0k papers published in Journal of Applied Biomedicine in the last decades have received a total of 16.5k indexed citations. Papers published in Journal of Applied Biomedicine usually cover Biomedical Engineering (275 papers), Radiology, Nuclear Medicine and Imaging (200 papers) and Cognitive Neuroscience (192 papers) specifically the topics of EEG and Brain-Computer Interfaces (161 papers), AI in cancer detection (96 papers) and ECG Monitoring and Analysis (82 papers). The most active scholars publishing in Journal of Applied Biomedicine are U. Rajendra Acharya, Ahnaf Rashik Hassan, Foad Kazemi, Moosa Ayati, Rajesh Kumar Tripathy, Deepti Mittal, Madhu S. Nair, Mohammed Imamul Hassan Bhuiyan, Zafer Cömert and Trilok Chand.

In The Last Decade

Fields of papers published in Journal of Applied Biomedicine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Applied Biomedicine. 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 Journal of Applied Biomedicine.

Countries where authors publish in Journal of Applied Biomedicine

Since Specialization
Citations

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