SIAM Journal on Imaging Sciences

978 papers and 34.2k indexed citations
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About

The 978 papers published in SIAM Journal on Imaging Sciences in the last decades have received a total of 34.2k indexed citations. Papers published in SIAM Journal on Imaging Sciences usually cover Computer Vision and Pattern Recognition (514 papers), Computational Mechanics (410 papers) and Biomedical Engineering (207 papers) specifically the topics of Sparse and Compressive Sensing Techniques (300 papers), Image and Signal Denoising Methods (241 papers) and Numerical methods in inverse problems (190 papers). The most active scholars publishing in SIAM Journal on Imaging Sciences are Marc Teboulle, Amir Beck, Stanley Osher, Tom Goldstein, Wotao Yin, Thomas Pock, Yilun Wang, Jean‐Michel Morel, Yin Zhang and Guoshen Yu.

In The Last Decade

SIAM Journal on Imaging Sciences

892 papers receiving 31.3k citations

Fields of papers published in SIAM Journal on Imaging Sciences

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in SIAM Journal on Imaging Sciences

Since Specialization
Citations

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