Ric Lowe
Impact in
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- Visual and Cognitive Learning Processes
Papers in
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- Augmented Reality Applications 3
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- Spatial Cognition and Navigation 2
- Co-authors
- Peter Cheng (1 shared paper)Mike Scaife (1 shared paper)Rolf Ploetzner (1 shared paper)Thomas Barkowsky (1 shared paper)Christian Freksa (1 shared paper)Mary Hegarty (1 shared paper)Erica de Vries (1 shared paper)Lucia Masón (1 shared paper)
- Journals
- Artificial Intelligence Review (1 paper)eSpace (Curtin University) (6 papers)National Conference on Artificial Intelligence (1 paper)
- Partner nations
- AustraliaUnited Kingdom
In The Last Decade
Ric Lowe
7 papers receiving 95 citations
Peers
Comparison fields: 5 of 46
- Experimental and Cognitive Psychology 33
- Human-Computer Interaction 11
- Developmental and Educational Psychology 24
- Geography, Planning and Development 6
- Education 30
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 9 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 | 2001 | 72 | |
| 2 | Learning from Dynamic Visualization Innovations in Research and Application | 2017 | 10 |
| 3 | Preface: Reasoning with Mental and External Diagrams: Computational Modeling and Spatial Assistance. | 2005 | 8 |
| 4 | 2013 | 7 | |
| 5 | Graphicacy: What does the learner bring to a graphic? | 2010 | 4 |
| 6 | Comprehension of animated public information graphics | 2010 | 1 |
| 7 | Drawing to support animation comprehension | 2010 | 1 |
| 8 | Educational animation: Who should call the shots? | 2006 | 0 |
| 9 | Designing static and animated diagrams for modern learning materials | 2017 | 0 |
About Ric Lowe
Ric Lowe is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Experimental and Cognitive Psychology, Developmental and Educational Psychology and Computer Networks and Communications, having authored 9 papers that have together received 103 indexed citations. Recurring topics across this work include Augmented Reality Applications (3 papers), Spatial Cognition and Navigation (2 papers), Educational Games and Gamification (2 papers), Visual and Cognitive Learning Processes (2 papers), Art Education and Development (1 paper), Educational Tools and Methods (1 paper), Open Education and E-Learning (1 paper) and Innovative Teaching and Learning Methods (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (33 citations), Human-Computer Interaction (11 citations), Developmental and Educational Psychology (24 citations), Geography, Planning and Development (6 citations) and Education (30 citations). Ric Lowe has collaborated with scholars based in Australia and United Kingdom. Frequent co-authors include Peter Cheng, Mike Scaife, Rolf Ploetzner, Thomas Barkowsky, Christian Freksa, Mary Hegarty, Erica de Vries, 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.