Image Processing On Line

241 papers and 6.0k indexed citations

About

The 241 papers published in Image Processing On Line in the last decades have received a total of 6.0k indexed citations. Papers published in Image Processing On Line usually cover Computer Vision and Pattern Recognition (200 papers), Media Technology (65 papers) and Computational Mechanics (32 papers) specifically the topics of Image and Signal Denoising Methods (64 papers), Advanced Vision and Imaging (57 papers) and Advanced Image Processing Techniques (57 papers). The most active scholars publishing in Image Processing On Line are Pascal Getreuer, Jean‐Michel Morel, Marc Lebrun, Antoni Buades, B. Coll, Yiqing Wang, Guoshen Yu, Grégory Randall, Enric Meinhardt-Llopis and Rafael Grompone von Gioi.

In The Last Decade

Image Processing On Line

229 papers receiving 5.7k citations

Countries where authors publish in Image Processing On Line

Since Specialization
Citations

This map shows the geographic impact of research published in Image Processing On Line. 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 Image Processing On Line with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Image Processing On Line more than expected).

Fields of papers published in Image Processing On Line

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Image Processing On Line. 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 Image Processing On Line.

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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