The DOI matches its Crossref record.
Understanding Comics: The Invisible Art
Abstract
INSIGHTS about professional communication may come from odd and unexpected places. McCloud's Understanding Comics (hereafter UC) is a case in point. Despite the juvenile connotations evoked by any discussion of comic books, the theory of visual communication presented in UC arguably rivals the best of contemporary semiotics (that is, the study of how we make meaning out of gestures, words, paragraphs, pictures, and so on).
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Citations
Cited by
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Anthropomorphism and the social robot
Duffy, B. R. (2003) · Robotics and Autonomous Systems · doi:10.1016/s0921-8890(02)00374-3 · Cited by 1,447
Perceiving, remembering, and communicating structure in events.
Zacks, J. M., Tversky, B., & Iyer, G. (2001) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.130.1.29 · Cited by 640
Cohn, N. (2013) · Cognitive Science · doi:10.1111/cogs.12016 · Cited by 313
Arrows in Comprehending and Producing Mechanical Diagrams
Heiser, J., & Tversky, B. (2006) · Cognitive Science · doi:10.1207/s15516709cog0000_70 · Cited by 167
Metadata
- Authors
- Manning, A. D.
- Venue
- IEEE Transactions on Professional Communication
- Published
- 1998-03
- Volume
- 41
- Issue
- 1
- Pages
- 66-69
- ISSN
- 0361-1434 (ISSN-L)
- OpenAlex
- W1995258346
- Cited by
- 3,139
- References
- 0
- FWCI
- 388.59
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Understanding Comics: The Invisible Art. https://app.cochat.ai/papers/10.1109/tpc.1998.661632
- The paper
- Manning, A. D. (1998). Understanding Comics: The Invisible Art. IEEE Transactions on Professional Communication. https://doi.org/10.1109/tpc.1998.661632
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
