The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Top-down and bottom-up influences on learning from animations
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Citations
Cites
Mayer, R. E. (2009) · doi:10.1017/cbo9780511811678 · Cited by 7,800
Mayer, R. (2020) · doi:10.1017/9781316941355 · Cited by 7,777
Nine Ways to Reduce Cognitive Load in Multimedia Learning
Mayer, R. E., & Moreno, R. (2003) · Educational Psychologist · doi:10.1207/s15326985ep3801_6 · Cited by 4,207
Kalyuga, S., Ayres, P., Chandler, P., & Sweller, J. (2003) · Educational Psychologist · doi:10.1207/s15326985ep3801_4 · Cited by 1,927
When is an illustration worth ten thousand words?
Mayer, R. E., & Gallini, J. K. (1990) · Journal of Educational Psychology · doi:10.1037/0022-0663.82.4.715 · Cited by 1,051 · cited 2×
“Third, while it has often been shown that people learn more from diagrams that are accompanied by explanatory text or verbal commentaries (e.g., Mayer and Gallini, 1990; Mayer and Anderson, 1991; Hegarty and Just, 1993) one goal of our research is a scientific account of how multimedia presentations…”
BackgroundAnimations need narrations: an experimental test of a dual-coding hypothesis.
Mayer, R. E., & Anderson, R. B. (1991) · Journal of Educational Psychology · doi:10.1037/0022-0663.83.4.484 · Cited by 883 · cited 1×
“…been shown that people learn more from diagrams that are accompanied by explanatory text or verbal commentaries (e.g., Mayer and Gallini, 1990; Mayer and Anderson, 1991; Hegarty and Just, 1993) one goal of our research is a scientific account of how multimedia presentations are understood,…”
BackgroundThe cognitive benefits of interactive videos: learning to tie nautical knots
Schwan, S., & Riempp, R. (2004) · Learning and Instruction · doi:10.1016/j.learninstruc.2004.06.005 · Cited by 483
Mayer, R. E., Hegarty, M., Mayer, S., & Campbell, J. (2005) · Journal of Experimental Psychology: Applied · doi:10.1037/1076-898x.11.4.256 · Cited by 462
Self-citationThe Roles of Mental Animations and External Animations in Understanding Mechanical Systems
Hegarty, M., Kriz, S., & Cate, C. (2003) · Cognition and Instruction · doi:10.1207/s1532690xci2104_1 · Cited by 404 · cited 7×
“We also included a diagram illustrating four key phases of the flush cycle, which was found to be informationally equivalent to a non-interactive animation in a previous study (Hegarty et al., 2003).”
BackgroundMethodInfluentialSelf-citationExtracting information from an animation during complex visual learning
Lowe, R. K. (1999) · European Journal of Psychology of Education · doi:10.1007/bf03172967 · Cited by 381
Cited by
Singer, S., & Smith, K. A. (2013) · Journal of Engineering Education · doi:10.1002/jee.20030 · Cited by 835
Using multimedia for e‐learning
Mayer, R. E. (2017) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12197 · Cited by 747
de Koning, B. B., Tabbers, H. K., Rikers, R. M. J. P., & Paas, F. (2009) · Educational Psychology Review · doi:10.1007/s10648-009-9098-7 · Cited by 428
Decision making with visualizations: a cognitive framework across disciplines
Padilla, L. M., Creem-Regehr, S. H., Hegarty, M., & Stefanucci, J. K. (2018) · Cognitive Research: Principles and Implications · doi:10.1186/s41235-018-0120-9 · Cited by 336
Self-citationA meta-analysis of how signaling affects learning with media
Schneider, S., Beege, M., Nebel, S., & Rey, G. D. (2018) · Educational Research Review · doi:10.1016/j.edurev.2017.11.001 · Cited by 268
Metadata
- Authors
- Kriz, S., & Hegarty, M.
- Venue
- International Journal of Human-Computer Studies
- Publisher
- Elsevier BV
- Published
- 2007-11
- Volume
- 65
- Issue
- 11
- Pages
- 911-930
- ISSN
- 1071-5819 (ISSN-L)
- OpenAlex
- W2149974306
- Cited by
- 246
- References
- 12
- FWCI
- 11.68
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Top-down and bottom-up influences on learning from animations. https://app.cochat.ai/papers/10.1016/j.ijhcs.2007.06.005
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- Kriz, S., & Hegarty, M. (2007). Top-down and bottom-up influences on learning from animations. International Journal of Human-Computer Studies. https://doi.org/10.1016/j.ijhcs.2007.06.005
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.
