Galit Lukin
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Teaching and Learning Programming
- Online Learning and Analytics
Papers in
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- COVID-19 Clinical Research Studies 2
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- COVID-19 diagnosis using AI 2
- Co-authors
- Cynthia Breazeal (1 shared paper)Phoebe Lin (1 shared paper)Jessica Van Brummelen (1 shared paper)Randi Williams (1 shared paper)Bartolomeo Stellato (2 shared papers)Omid Nohadani (2 shared papers)Angelo Pan (2 shared papers)Carlos Luís Parra-Calderón (2 shared papers)
- Journals
- PLoS ONE (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)Educational Data Mining (1 paper)SSRN Electronic Journal (1 paper)
- Partner nations
- United StatesItalySpain
In The Last Decade
Galit Lukin
4 papers receiving 225 citations
Peers
Comparison fields: 5 of 67
- Health Informatics 17
- Computer Science Applications 72
- Developmental and Educational Psychology 35
- Safety Research 22
- Infectious Diseases 40
Countries citing papers authored by Galit Lukin
This map shows the geographic impact of Galit Lukin'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 Galit Lukin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Galit Lukin more than expected).
Fields of papers citing papers by Galit Lukin
This network shows the impact of papers produced by Galit Lukin. 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 Galit Lukin. The network helps show where Galit Lukin may publish in the future.
Co-authors
The 18 scholars most cited alongside Galit Lukin, 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 | 2020 | 118 | |
| 2 | 2020 | 109 | |
| 3 | Staying in the Zone: Sequencing Content in Classrooms Based on the Zone of Proximal Development. | 2019 | 4 |
| 4 | 2020 | 1 |
About Galit Lukin
Galit Lukin is a scholar working on Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Developmental and Educational Psychology, Oncology and Epidemiology, having authored 4 papers that have together received 232 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (2 papers), COVID-19 diagnosis using AI (2 papers), Innovative Teaching and Learning Methods (1 paper), AI in Service Interactions (1 paper), Child Development and Digital Technology (1 paper), Teaching and Learning Programming (1 paper), COVID-19 and healthcare impacts (1 paper) and Educational Games and Gamification (1 paper). The work is most often cited by research in Health Informatics (17 citations), Computer Science Applications (72 citations), Developmental and Educational Psychology (35 citations), Safety Research (22 citations) and Infectious Diseases (40 citations). Galit Lukin has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Cynthia Breazeal, Phoebe Lin, Jessica Van Brummelen, Randi Williams, Bartolomeo Stellato, Omid Nohadani, Angelo Pan, Carlos Luís Parra-Calderón, Michelle Schneider and Martina Dal Bello. Their work appears in journals such as PLoS ONE, Proceedings of the AAAI Conference on Artificial Intelligence, Educational Data Mining and SSRN Electronic Journal.
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.