Roxanne L. Canosa
- Human-Computer Interaction top 2%
- Gaze Tracking and Assistive Technology 6
- Cognitive Neuroscience top 10%
- Visual perception and processing mechanisms 7
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- Visual Attention and Saliency Detection 7
- Image Retrieval and Classification Techniques 4
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- Software Engineering Techniques and Practices 3
- Information Systems Education and Curriculum Development 2
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- Ethics in Business and Education 2
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- AI-based Problem Solving and Planning 2
- Partner nations
- United States
In The Last Decade
Roxanne L. Canosa
21 papers receiving 367 citations
Peers
Comparison fields: 5 of 75
- Human-Computer Interaction 172
- Cognitive Neuroscience 201
- Computer Vision and Pattern Recognition 144
- Sensory Systems 25
- Computer Science Applications 21
Countries citing papers authored by Roxanne L. Canosa
This map shows the geographic impact of Roxanne L. Canosa'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 Roxanne L. Canosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roxanne L. Canosa more than expected).
Fields of papers citing papers by Roxanne L. Canosa
This network shows the impact of papers produced by Roxanne L. Canosa. 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 Roxanne L. Canosa. The network helps show where Roxanne L. Canosa may publish in the future.
Co-authorship network
The 6 scholars most cited alongside Roxanne L. Canosa, 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 | 2014 | 5 | |
| 2 | 2012 | 4 | |
| 3 | 2010 | 1 | |
| 4 | 2009 | 25 | |
| 5 | 2009 | 2 | |
| 6 | 2008 | 8 | |
| 7 | Problem stereotypes and solution frameworks: a design-first approach for the introductory computer science sequence | 2007 | 3 |
| 8 | Assessment techniques for curricular improvement: pre-conference workshop | 2007 | 2 |
| 9 | 2007 | 8 | |
| 10 | 2007 | 2 | |
| 11 | 2006 | 4 | |
| 12 | 2006 | 1 | |
| 13 | 2005 | 1 | |
| 14 | 2003 | 8 | |
| 15 | Seeing, sensing, and selection: modeling visual perception in complex environments | 2003 | 2 |
| 16 | 2002 | 9 | |
| 17 | 2001 | 241 | |
| 18 | Eye movements and natural tasks in an extended environment | 2000 | 2 |
| 19 | 2000 | 31 | |
| 20 | 2000 | 27 |
About Roxanne L. Canosa
Roxanne L. Canosa is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 21 papers that have together received 389 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (7 papers), Visual Attention and Saliency Detection (7 papers), Gaze Tracking and Assistive Technology (6 papers), Image Retrieval and Classification Techniques (4 papers), Software Engineering Techniques and Practices (3 papers), Ethics in Business and Education (2 papers), AI-based Problem Solving and Planning (2 papers) and Information Systems Education and Curriculum Development (2 papers). The work is most often cited by research in Human-Computer Interaction (172 citations), Cognitive Neuroscience (201 citations) and Computer Vision and Pattern Recognition (144 citations). Roxanne L. Canosa has collaborated with scholars based in United States. Frequent co-authors include Jeff B. Pelz, Jason S. Babcock, Neil Mennie, Roger L. Easton, Rajendra K. Raj and Praveen Rao.
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.