IET Image Processing

3.1k papers and 28.5k indexed citations
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About

The 3.1k papers published in IET Image Processing in the last decades have received a total of 28.5k indexed citations. Papers published in IET Image Processing usually cover Computer Vision and Pattern Recognition (2.6k papers), Media Technology (761 papers) and Artificial Intelligence (374 papers) specifically the topics of Image and Signal Denoising Methods (512 papers), Advanced Image Fusion Techniques (452 papers) and Advanced Image Processing Techniques (432 papers). The most active scholars publishing in IET Image Processing are Zengfu Wang, Yü Liu, M. Emre Celebi, Evgin Göçeri, Karim Mokrani, Reda Kasmi, Karim Faez, Tao Lei, Bingtao Zhang and Risheng Wang.

In The Last Decade

IET Image Processing

2.8k papers receiving 26.8k citations

Fields of papers published in IET Image Processing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in IET Image Processing

Since Specialization
Citations

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