Computerized Medical Imaging and Graphics

2.4k papers and 49.0k indexed citations i.

About

The 2.4k papers published in Computerized Medical Imaging and Graphics in the last decades have received a total of 49.0k indexed citations. Papers published in Computerized Medical Imaging and Graphics usually cover Radiology, Nuclear Medicine and Imaging (1.1k papers), Computer Vision and Pattern Recognition (858 papers) and Biomedical Engineering (466 papers) specifically the topics of Medical Image Segmentation Techniques (513 papers), Medical Imaging Techniques and Applications (368 papers) and AI in cancer detection (333 papers). The most active scholars publishing in Computerized Medical Imaging and Graphics are Kunio Doi, R. N. Şener, William V. Stoecker, M. Emre Celebi, Hitoshi Iyatomi, Randy H. Moss, Keh-Shih Chuang, Sharon Chen, Jay Wu and Joachim M. Buhmann.

In The Last Decade

Fields of papers published in Computerized Medical Imaging and Graphics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Computerized Medical Imaging and Graphics. 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 Computerized Medical Imaging and Graphics.

Countries where authors publish in Computerized Medical Imaging and Graphics

Since Specialization
Citations

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