Computer Animation and Virtual Worlds

1.1k papers and 7.6k indexed citations

About

The 1.1k papers published in Computer Animation and Virtual Worlds in the last decades have received a total of 7.6k indexed citations. Papers published in Computer Animation and Virtual Worlds usually cover Computer Vision and Pattern Recognition (650 papers), Control and Systems Engineering (366 papers) and Computer Graphics and Computer-Aided Design (359 papers) specifically the topics of Computer Graphics and Visualization Techniques (336 papers), Human Motion and Animation (318 papers) and 3D Shape Modeling and Analysis (281 papers). The most active scholars publishing in Computer Animation and Virtual Worlds are Nadia Magnenat‐Thalmann, Bijan Najafi, Kamiar Aminian, Roland Gerærts, Stefan Kopp, Ipke Wachsmuth, Matthias Teschner, Renato Pajarola, Barbara Solenthaler and Hong Qin.

In The Last Decade

Computer Animation and Virtual Worlds

970 papers receiving 7.2k citations

Fields of papers published in Computer Animation and Virtual Worlds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Computer Animation and Virtual Worlds. 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 Computer Animation and Virtual Worlds.

Countries where authors publish in Computer Animation and Virtual Worlds

Since Specialization
Citations

This map shows the geographic impact of research published in Computer Animation and Virtual Worlds. 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 Computer Animation and Virtual Worlds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computer Animation and Virtual Worlds 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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2026