Journal of Image and Graphics

286 papers and 854 indexed citations i.

About

The 286 papers published in Journal of Image and Graphics in the last decades have received a total of 854 indexed citations. Papers published in Journal of Image and Graphics usually cover Computer Vision and Pattern Recognition (175 papers), Media Technology (42 papers) and Artificial Intelligence (41 papers) specifically the topics of Advanced Image and Video Retrieval Techniques (26 papers), Video Surveillance and Tracking Methods (25 papers) and Image and Signal Denoising Methods (24 papers). The most active scholars publishing in Journal of Image and Graphics are Yutaro Iwamoto, Yen‐Wei Chen, Sherin M. Youssef, Shamik Tiwari, Guanbin Li, Sai Bi, Yizhou Yu, Jean Meunier, Trong-Nguyen Nguyen and Vladimir Y. Mariano.

In The Last Decade

Fields of papers published in Journal of Image and Graphics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Image and Graphics. 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 Journal of Image and Graphics.

Countries where authors publish in Journal of Image and Graphics

Since Specialization
Citations

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