Journal of Imaging

1.6k papers and 13.8k indexed citations i.

About

The 1.6k papers published in Journal of Imaging in the last decades have received a total of 13.8k indexed citations. Papers published in Journal of Imaging usually cover Computer Vision and Pattern Recognition (730 papers), Radiology, Nuclear Medicine and Imaging (340 papers) and Artificial Intelligence (262 papers) specifically the topics of AI in cancer detection (126 papers), Radiomics and Machine Learning in Medical Imaging (123 papers) and Advanced Neural Network Applications (115 papers). The most active scholars publishing in Journal of Imaging are Vasudevan Lakshminarayanan, Sourya Sengupta, Amitojdeep Singh, Javaan Chahl, Bangalore Ravi Kiran, Dilip Mathew Thomas, Ali Al‐Naji, Marie‐Christine Zdora, Munir Oudah and Ilia V. Safonov.

In The Last Decade

Fields of papers published in Journal of Imaging

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Imaging. 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 Imaging.

Countries where authors publish in Journal of Imaging

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Imaging. 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 Imaging 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 Imaging 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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