Emma Anderson
- Computer Vision and Pattern Recognition top 10%
- Endocrinology, Diabetes and Metabolism
- Information Systems top 10%
- Artificial Intelligence
- Human-Computer Interaction top 10%
- Co-authors
- Susan A. YoonT. Franklin WilliamsJ WatkinsMalcolm HoganJoyce LinKaren ElinichBen FieldingChee Peng Lim
- Topics
- Online Learning and Analytics (6 papers)Teaching and Learning Programming (4 papers)Online and Blended Learning (3 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Emma Anderson
13 papers receiving 339 citations
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 116
- Endocrinology, Diabetes and Metabolism 73
- Information Systems 68
- Artificial Intelligence 58
- Human-Computer Interaction 46
Countries citing papers authored by Emma Anderson
This map shows the geographic impact of Emma Anderson'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 Emma Anderson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma Anderson more than expected).
Fields of papers citing papers by Emma Anderson
This network shows the impact of papers produced by Emma Anderson. 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 Emma Anderson. The network helps show where Emma Anderson may publish in the future.
Co-authorship network of co-authors of Emma Anderson
This figure shows the co-authorship network connecting the top 25 collaborators of Emma Anderson. A scholar is included among the top collaborators of Emma Anderson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emma Anderson. Emma Anderson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | Learning Science Through Coding: An Investigation Into the Design of a Domain Specific Modeling Experience. | 0 |
| 8 | Comparative Study of High-Quality Professional Development for High School Biology in a Face-to-Face vs Online Delivery Mode. | 1 |
| 9 | 6 | |
| 10 | 98 | |
| 11 | From Face-to-Face to Online: Considerations for a Social Capital Design to Scale Science Teacher Access to High-Quality PD. | 1 |
| 12 | 18 | |
| 13 | 16 | |
| 14 | How Augmented Reality Enables Conceptual Understanding of Challenging Science Content. | 96 |
| 15 | 10 | |
| 16 | Validating a Model for Assessing Teacher's Adaptive Expertise With Computer Supported Complex Systems Curricula and Its Relationship to Student Learning Outcomes. | 0 |
| 17 | 3 | |
| 18 | 127 |
About Emma Anderson
Emma Anderson is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Information Systems and Management, having authored 18 papers that have together received 389 indexed citations. Recurring topics across this work include Online Learning and Analytics (6 papers), Teaching and Learning Programming (4 papers) and Online and Blended Learning (3 papers). The work is most often cited by research in Human-Computer Interaction (46 citations), Family Practice (15 citations) and Computer Science Applications (33 citations). Emma Anderson has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Susan A. Yoon, T. Franklin Williams, J Watkins, Malcolm Hogan, Joyce Lin, Karen Elinich, Ben Fielding, Chee Peng Lim, Li Zhang and Yonghong Yu. Their work appears in journals such as IEEE Access, Educational Technology & Society and Journal of Science Teacher Education.
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.