Computers in Biology and Medicine

9.2k papers and 161.3k indexed citations i.

About

The 9.2k papers published in Computers in Biology and Medicine in the last decades have received a total of 161.3k indexed citations. Papers published in Computers in Biology and Medicine usually cover Radiology, Nuclear Medicine and Imaging (2.0k papers), Molecular Biology (1.9k papers) and Artificial Intelligence (1.6k papers) specifically the topics of AI in cancer detection (813 papers), Radiomics and Machine Learning in Medical Imaging (670 papers) and EEG and Brain-Computer Interfaces (639 papers). The most active scholars publishing in Computers in Biology and Medicine are U. Rajendra Acharya, Özal Yıldırım, Ru San Tan, Michael Katz, Shu Lih Oh, Abdülhamit Subaşı, Barry Robson, Elif Derya Übeylï, Jen Hong Tan and Vangelis Sakkalis.

In The Last Decade

Fields of papers published in Computers in Biology and Medicine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Computers in Biology and Medicine. 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 Computers in Biology and Medicine.

Countries where authors publish in Computers in Biology and Medicine

Since Specialization
Citations

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

Explore journals with similar magnitude of impact

Rankless by CCL
2025