Scientific mapping and production analysis of digital comic, animation, and digital cartoon in education

Abstract

Analyzing scientific mapping literature activity on digital comics, animation, and digital cartoons is essential for future research and development. The objective of the current study was to assess research activity in digital comics, animation, and digital cartoons. VOSviewer and Scopus were used to perform bibliometric analysis. The research was conducted from 2013 to 2023 and found 288 documents. In 2022, most research reports on digital comics, animation, and digital cartoons were published. China is the most productive region in terms of articles, with English being the most widely used language. The most common subject area is computer science, and the most common source is the journal Lecture Notes in Computer Science. The most productive author is Dong Hao Li. Zhejiang University is the most productive institution. Future research should concentrate on a single discipline and work with Google Scholar and Web of Science data for in-depth analysis.

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No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 5 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.