SMPTE Motion Imaging Journal

602 papers and 1.8k indexed citations i.

About

The 602 papers published in SMPTE Motion Imaging Journal in the last decades have received a total of 1.8k indexed citations. Papers published in SMPTE Motion Imaging Journal usually cover Computer Vision and Pattern Recognition (298 papers), Media Technology (138 papers) and Signal Processing (131 papers) specifically the topics of Multimedia Communication and Technology (128 papers), Image and Video Quality Assessment (121 papers) and Video Coding and Compression Technologies (106 papers). The most active scholars publishing in SMPTE Motion Imaging Journal are Andrew B. Watson, Scott Daly, S.L. Miller, Mahdi Nezamabadi, Simon J. Watt, Robert S. Allison, Martin S. Banks, Jenny C. A. Read, Masayuki Sugawara and Richard L. Welsh.

In The Last Decade

Fields of papers published in SMPTE Motion Imaging Journal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in SMPTE Motion Imaging Journal

Since Specialization
Citations

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