Terence Day
- Education top 10%
- Health Informatics top 2%
- Geography, Planning and Development top 5%
- Clinical Psychology
- Information Systems top 10%
- Co-authors
- Paul N. McDanielWilliam E. DoolittleJacqueline HouselCalvin King Lam ChungI-Chun Catherine ChangJohn YoungJunghwan KimGillian M. Krezoski
- Topics
- Geography Education and Pedagogy (6 papers)Artificial Intelligence in Healthcare and Education (3 papers)Explainable Artificial Intelligence (XAI) (2 papers)
- Partner nations
- CanadaUnited StatesHong Kong
In The Last Decade
Terence Day
16 papers receiving 365 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Education 144
- Health Informatics 67
- Geography, Planning and Development 64
- Clinical Psychology 57
- Information Systems 57
Countries citing papers authored by Terence Day
This map shows the geographic impact of Terence Day'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 Terence Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terence Day more than expected).
Fields of papers citing papers by Terence Day
This network shows the impact of papers produced by Terence Day. 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 Terence Day. The network helps show where Terence Day may publish in the future.
Co-authorship network of co-authors of Terence Day
This figure shows the co-authorship network connecting the top 25 collaborators of Terence Day. A scholar is included among the top collaborators of Terence Day 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 Terence Day. Terence Day is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 95 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | The Immediate Impact of COVID-19 on Postsecondary Teaching and Learningbreakdown → | 164 |
| 8 | Laboratory Manual for Introduction to Physical Geography, First British Columbia Edition | 1 |
| 9 | 9 | |
| 10 | 12 | |
| 11 | 17 | |
| 12 | 9 | |
| 13 | 36 | |
| 14 | 22 | |
| 15 | 3 | |
| 16 | 7 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 1 |
About Terence Day
Terence Day is a scholar working on Health Informatics, Geography, Planning and Development and Geochemistry and Petrology, having authored 19 papers that have together received 390 indexed citations. Recurring topics across this work include Geography Education and Pedagogy (6 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Health Informatics (67 citations), Geography, Planning and Development (64 citations) and Computer Science Applications (28 citations). Terence Day has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include Paul N. McDaniel, William E. Doolittle, Jacqueline Housel, Calvin King Lam Chung, I-Chun Catherine Chang, John Young, Junghwan Kim, Gillian M. Krezoski, Nina Hewitt and Todd Redding. Their work appears in journals such as Nature, Sustainability and International Journal of Science 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.