Countries where authors publish in Journal of Visual Communication and Image Representation
Since Specialization
Citations
This map shows the geographic impact of research published in Journal of Visual Communication and Image Representation. 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 Visual Communication and Image Representation 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 Visual Communication and Image Representation more than expected).
Fields of papers published in Journal of Visual Communication and Image Representation
This network shows the impact of papers published in Journal of Visual Communication and Image Representation. 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 Visual Communication and Image Representation.
About Journal of Visual Communication and Image Representation
The 3.6k papers published in Journal of Visual Communication and Image Representation in the last decades have received a total of 63.8k indexed citations . Papers published in Journal of Visual Communication and Image Representation usually cover Computer Vision and Pattern Recognition (3.3k papers), Media Technology (640 papers) and Signal Processing (576 papers) specifically the topics of Advanced Image and Video Retrieval Techniques (619 papers), Advanced Vision and Imaging (573 papers) and Advanced Image Processing Techniques (539 papers). The most active scholars publishing in Journal of Visual Communication and Image Representation are C.‐C. Jay Kuo, Tony F. Chan, Fernand Meyer, Weisi Lin, Serge Beucher, Shih‐Fu Chang, Jianhong Shen, Thomas S. Huang, Yong Rui and Bezalel Peleg.
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.