Karen Elinich
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 2%
- Information Systems top 5%
- Developmental and Educational Psychology top 10%
- Museology top 1%
- Co-authors
- Susan A. YoonJoyce WangSean TuckerJoyce LinEmma AndersonMi-Young ParkDeborah A. FieldsYasmin B. Kafai
- Topics
- Mobile Learning in Education (8 papers)Museums and Cultural Heritage (7 papers)Augmented Reality Applications (5 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Karen Elinich
14 papers receiving 369 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 247
- Human-Computer Interaction 178
- Information Systems 165
- Developmental and Educational Psychology 94
- Museology 85
Countries citing papers authored by Karen Elinich
This map shows the geographic impact of Karen Elinich'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 Karen Elinich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karen Elinich more than expected).
Fields of papers citing papers by Karen Elinich
This network shows the impact of papers produced by Karen Elinich. 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 Karen Elinich. The network helps show where Karen Elinich may publish in the future.
Co-authorship network of co-authors of Karen Elinich
This figure shows the co-authorship network connecting the top 25 collaborators of Karen Elinich. A scholar is included among the top collaborators of Karen Elinich 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 Karen Elinich. Karen Elinich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | How Augmented Reality Enables Conceptual Understanding of Challenging Science Content. | 96 |
| 3 | Synergistic scaffolding of technologically-enhanced STEM learning in informal institutions | 3 |
| 4 | Motivating and Broadening Participation: Competitions, Contests, Challenges, and Circles for Supporting STEM Learning. | 5 |
| 5 | 34 | |
| 6 | Investigating the Effects of Varying Labels as Scaffolds for Visitor Learning. | 1 |
| 7 | 16 | |
| 8 | 179 | |
| 9 | AUGMENTED REALITY IN THE SCIENCE MUSEUM: LESSONS LEARNED IN SCAFFOLDING FOR CONCEPTUAL AND COGNITIVE LEARNING | 6 |
| 10 | Fostering Critical Thinking in Science Museums through Digital Augmentations. | 1 |
| 11 | Learning Science through Knowledge-Building and Augmented Reality in Museums. | 3 |
| 12 | 4 | |
| 13 | 8 | |
| 14 | The Science Learning Network: Partnerships, Technology and Teacher Change. | 2 |
About Karen Elinich
Karen Elinich is a scholar working on Museology, Developmental and Educational Psychology and Information Systems, having authored 14 papers that have together received 392 indexed citations. Recurring topics across this work include Mobile Learning in Education (8 papers), Museums and Cultural Heritage (7 papers) and Augmented Reality Applications (5 papers). The work is most often cited by research in Human-Computer Interaction (178 citations), Museology (85 citations) and Computer Vision and Pattern Recognition (247 citations). Karen Elinich has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Susan A. Yoon, Joyce Wang, Sean Tucker, Joyce Lin, Emma Anderson, Emma Anderson, Mi-Young Park, Deborah A. Fields, Yasmin B. Kafai and Ricarose Roque. Their work appears in journals such as Neurobiology of Disease, Science Education and Educational Technology & Society.
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.