Ric Lowe
Impact in
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- Visual and Cognitive Learning Processes
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- Educational Games and Gamification
- Innovative Teaching and Learning Methods
Papers in
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- Augmented Reality Applications 3
- Data Visualization and Analytics 2
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- Educational Games and Gamification 4
- Co-authors
- Wolfgang Schnotz (1 shared paper)Mike Scaife (2 shared papers)Peter Cheng (2 shared papers)Rolf Ploetzner (1 shared paper)Erica de Vries (1 shared paper)Mary Hegarty (1 shared paper)Thomas Barkowsky (1 shared paper)Christian Freksa (1 shared paper)
- Journals
- Artificial Intelligence Review (1 paper)eSpace (Curtin University) (9 papers)National Conference on Artificial Intelligence (1 paper)
- Partner nations
- AustraliaUnited Kingdom
In The Last Decade
Ric Lowe
13 papers receiving 294 citations
Peers
Comparison fields: 5 of 60
- Experimental and Cognitive Psychology 169
- Developmental and Educational Psychology 111
- Human-Computer Interaction 35
- Education 91
- Computer Vision and Pattern Recognition 66
Countries citing papers authored by Ric Lowe
This map shows the geographic impact of Ric Lowe's research. 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 Ric Lowe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ric Lowe more than expected).
Fields of papers citing papers by Ric Lowe
This network shows the impact of papers produced by Ric Lowe. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ric Lowe. The network helps show where Ric Lowe may publish in the future.
Co-authors
The 10 scholars most cited alongside Ric Lowe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A unified view of learning from animated and static graphics | 2008 | 121 |
| 2 | 2001 | 90 | |
| 3 | Learning from animation: Where to look, when to look | 2008 | 28 |
| 4 | 2001 | 27 | |
| 5 | Learning from Dynamic Visualization Innovations in Research and Application | 2017 | 17 |
| 6 | Preface: Reasoning with Mental and External Diagrams: Computational Modeling and Spatial Assistance. | 2005 | 13 |
| 7 | 2013 | 8 | |
| 8 | Graphicacy: What does the learner bring to a graphic? | 2010 | 5 |
| 9 | Animated documentation: A way of comprehending complex procedural tasks? | 2007 | 2 |
| 10 | Designing static and animated diagrams for modern learning materials | 2017 | 2 |
| 11 | Comprehension of animated public information graphics | 2010 | 1 |
| 12 | Educational animation: Who should call the shots? | 2006 | 1 |
| 13 | Drawing to support animation comprehension | 2010 | 1 |
About Ric Lowe
Ric Lowe is a scholar working on Computer Vision and Pattern Recognition, Developmental and Educational Psychology, Computer Networks and Communications, Automotive Engineering and Artificial Intelligence, having authored 13 papers that have together received 316 indexed citations. Recurring topics across this work include Educational Games and Gamification (4 papers), Augmented Reality Applications (3 papers), Spatial Cognition and Navigation (2 papers), Data Visualization and Analytics (2 papers), Constraint Satisfaction and Optimization (2 papers), Visual and Cognitive Learning Processes (2 papers), Human Motion and Animation (1 paper) and Art Education and Development (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (169 citations), Developmental and Educational Psychology (111 citations), Human-Computer Interaction (35 citations), Education (91 citations) and Computer Vision and Pattern Recognition (66 citations). Ric Lowe has collaborated with scholars based in Australia and United Kingdom. Frequent co-authors include Wolfgang Schnotz, Mike Scaife, Peter Cheng, Rolf Ploetzner, Erica de Vries, Mary Hegarty, Thomas Barkowsky, Christian Freksa, Lucia Masón and Jean‐Michel Boucheix. Their work appears in journals such as Artificial Intelligence Review, eSpace (Curtin University) and National Conference on Artificial Intelligence.
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.