Computer Methods and Programs in Biomedicine

6.8k papers and 149.9k indexed citations i.

About

The 6.8k papers published in Computer Methods and Programs in Biomedicine in the last decades have received a total of 149.9k indexed citations. Papers published in Computer Methods and Programs in Biomedicine usually cover Radiology, Nuclear Medicine and Imaging (1.4k papers), Biomedical Engineering (1.3k papers) and Artificial Intelligence (1.1k papers) specifically the topics of AI in cancer detection (505 papers), EEG and Brain-Computer Interfaces (446 papers) and Radiomics and Machine Learning in Medical Imaging (433 papers). The most active scholars publishing in Computer Methods and Programs in Biomedicine are E. Niclas Jonsson, U. Rajendra Acharya, Steven L. Jacques, Lihong V. Wang, Angus M. Brown, Lars Lindbom, Pasi A. Karjalainen, Juha‐Pekka Niskanen, Perttu Ranta-aho and Mika P. Tarvainen.

In The Last Decade

Fields of papers published in Computer Methods and Programs in Biomedicine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Computer Methods and Programs in 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 Computer Methods and Programs in Biomedicine.

Countries where authors publish in Computer Methods and Programs in Biomedicine

Since Specialization
Citations

This map shows the geographic impact of research published in Computer Methods and Programs in 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 Computer Methods and Programs in Biomedicine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computer Methods and Programs in 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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2025