Journal of Visual Languages & Computing

About

The 877 papers published in Journal of Visual Languages & Computing in the last decades have received a total of 11.6k indexed citations. Papers published in Journal of Visual Languages & Computing usually cover Computer Vision and Pattern Recognition (390 papers), Artificial Intelligence (243 papers) and Information Systems (187 papers) specifically the topics of Data Visualization and Analytics (221 papers), Data Management and Algorithms (131 papers) and Software Engineering Research (91 papers). The most active scholars publishing in Journal of Visual Languages & Computing are Marian Petre, Helen C. Purchase, Max J. Egenhofer, Brad A. Myers, Andrew U. Frank, Christopher Hundhausen, Gérard Ligozat, John Stasko, Sarah A. Douglas and Gennady Andrienko.

In The Last Decade

Journal of Visual Languages & Computing

819 papers receiving 10.6k citations

Fields of papers published in Journal of Visual Languages & Computing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Visual Languages & Computing. 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 Languages & Computing.

Countries where authors publish in Journal of Visual Languages & Computing

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Visual Languages & Computing. 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 Languages & Computing 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 Languages & Computing 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.

Explore journals with similar magnitude of impact

Rankless by CCL
2026