Visual Informatics

210 papers and 2.2k indexed citations
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About

The 210 papers published in Visual Informatics in the last decades have received a total of 2.2k indexed citations. Papers published in Visual Informatics usually cover Computer Vision and Pattern Recognition (170 papers), Artificial Intelligence (53 papers) and Signal Processing (33 papers) specifically the topics of Data Visualization and Analytics (118 papers), Computer Graphics and Visualization Techniques (27 papers) and Video Analysis and Summarization (25 papers). The most active scholars publishing in Visual Informatics are Shi‐Xia Liu, Jun Zhu, Xiting Wang, Mengchen Liu, Wei Chen, Siming Chen, Honghui Mei, Yue Dong, Richen Liu and Xiangyang Xue.

In The Last Decade

Fields of papers published in Visual Informatics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Visual Informatics. 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 Visual Informatics.

Countries where authors publish in Visual Informatics

Since Specialization
Citations

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