Rita Detrick
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Computer Science Applications top 10%
- Online Learning and Analytics
Papers in
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- Online Learning and Analytics 4
- Teaching and Learning Programming 1
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- Artificial Intelligence in Healthcare and Education 2
- Co-authors
- Jinhee Kim (6 shared papers)Na Li (5 shared papers)Jialin Wang (1 shared paper)Linda Bol (1 shared paper)Xi Lin (1 shared paper)
- Journals
- Education and Information Technologies (2 papers)Educational Technology Research and Development (2 papers)Journal of Research on Technology in Education (1 paper)Journal of Computing in Higher Education (1 paper)Proceedings. (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Rita Detrick
5 papers receiving 177 citations
Rita Detrick's Hit Papers
Peers
Comparison fields: 5 of 33
- Health Informatics 38
- Computer Science Applications 45
- Developmental and Educational Psychology 33
- Safety Research 14
- Artificial Intelligence 44
Countries citing papers authored by Rita Detrick
This map shows the geographic impact of Rita Detrick'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 Rita Detrick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Detrick more than expected).
Fields of papers citing papers by Rita Detrick
This network shows the impact of papers produced by Rita Detrick. 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 Rita Detrick. The network helps show where Rita Detrick may publish in the future.
Co-authors
The 5 scholars most cited alongside Rita Detrick, 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 | Exploring students’ perspectives on Generative AI-assisted academic writing Hit paper breakdown → | 2024 | 138 |
| 2 | Students’ prompt patterns and its effects in AI-assisted academic writing: Focusing on students’ level of AI literacy Hit paper breakdown → | 2025 | 20 |
| 3 | 2025 | 15 | |
| 4 | 2025 | 7 | |
| 5 | 2025 | 2 | |
| 6 | 2026 | 0 | |
| 7 | 2025 | 0 |
About Rita Detrick
Rita Detrick is a scholar working on Computer Science Applications, Health Informatics, Artificial Intelligence, Developmental and Educational Psychology and Information Systems, having authored 7 papers that have together received 182 indexed citations. Recurring topics across this work include Online Learning and Analytics (4 papers), Artificial Intelligence in Healthcare and Education (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Education and Learning Interventions (1 paper), Diverse Approaches in Healthcare and Education Studies (1 paper), Innovative Teaching and Learning Methods (1 paper), Technology and Data Analysis (1 paper) and Teaching and Learning Programming (1 paper). The work is most often cited by research in Health Informatics (38 citations), Computer Science Applications (45 citations), Developmental and Educational Psychology (33 citations), Safety Research (14 citations) and Artificial Intelligence (44 citations). Rita Detrick has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Jinhee Kim, Na Li, Jialin Wang, Linda Bol and Xi Lin. Their work appears in journals such as Education and Information Technologies, Educational Technology Research and Development, Journal of Research on Technology in Education, Journal of Computing in Higher Education and Proceedings..
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.