IET Computer Vision

1.1k papers and 11.3k indexed citations

About

The 1.1k papers published in IET Computer Vision in the last decades have received a total of 11.3k indexed citations. Papers published in IET Computer Vision usually cover Computer Vision and Pattern Recognition (954 papers), Artificial Intelligence (200 papers) and Media Technology (158 papers) specifically the topics of Video Surveillance and Tracking Methods (254 papers), Advanced Image and Video Retrieval Techniques (219 papers) and Advanced Vision and Imaging (167 papers). The most active scholars publishing in IET Computer Vision are S. Murugavalli, Anitha Venugopal, Saleh Aly, M. Hassaballah, Lei Zhang, Jifeng Ning, M. K. Bhuyan, David Zhang, Yuntao Qian and Sen Jia.

In The Last Decade

IET Computer Vision

1.0k papers receiving 10.8k citations

Peers

IET Computer Vision
Comparison fields: 5 of 191
  • Computer Vision and Pattern Recognition 7.7k
  • Artificial Intelligence 2.0k
  • Media Technology 1.6k
  • Aerospace Engineering 1.1k
  • Biomedical Engineering 1.1k
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EURASIP Journal on Image and Video Processing China View profile →
Citations per field, relative to IET Computer Vision
IET Computer Vision · 1×
Citations per year, relative to IET Computer Vision
IET Computer Vision · 1×

Countries where authors publish in IET Computer Vision

Since Specialization
Citations

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

Fields of papers published in IET Computer Vision

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in IET Computer Vision. 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 Computer Vision.

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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2026