Journal of Visualization

1.6k papers and 19.2k indexed citations i.

About

The 1.6k papers published in Journal of Visualization in the last decades have received a total of 19.2k indexed citations. Papers published in Journal of Visualization usually cover Computational Mechanics (807 papers), Aerospace Engineering (438 papers) and Computer Vision and Pattern Recognition (337 papers) specifically the topics of Fluid Dynamics and Turbulent Flows (490 papers), Data Visualization and Analytics (206 papers) and Aerodynamics and Acoustics in Jet Flows (169 papers). The most active scholars publishing in Journal of Visualization are Patrick Cavanagh, A. Mizuno, Yutaka Ohta, Keisuke Fujii, Masaaki Kawahashi, Nao NINOMIYA, Mitsuhiko Ota, K. Roger Aoki, Masahiro Takei and Christian J. Kähler.

In The Last Decade

Fields of papers published in Journal of Visualization

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Visualization. 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 Visualization.

Countries where authors publish in Journal of Visualization

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Visualization. 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 Visualization 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 Visualization 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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