Allyson F. Hadwin
- Developmental and Educational Psychology top 0.2%
- Education top 0.2%
- Computer Science Applications top 0.1%
- Social Psychology top 2%
- Communication top 1%
- Co-authors
- Philip H. WinneSanna JärveläRoger AzevedoMariel MillerJohn C. NesbitCarmen L.Z. GressAishah BakhtiarHanna Järvenoja
- Topics
- Innovative Teaching and Learning Methods (50 papers)Online and Blended Learning (18 papers)Online Learning and Analytics (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Educational PsychologyComputers in Human Behavior
In The Last Decade
Allyson F. Hadwin
71 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Developmental and Educational Psychology 3.1k
- Education 2.3k
- Computer Science Applications 1.1k
- Social Psychology 591
- Communication 465
Countries citing papers authored by Allyson F. Hadwin
This map shows the geographic impact of Allyson F. Hadwin'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 Allyson F. Hadwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Allyson F. Hadwin more than expected).
Fields of papers citing papers by Allyson F. Hadwin
This network shows the impact of papers produced by Allyson F. Hadwin. 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 Allyson F. Hadwin. The network helps show where Allyson F. Hadwin may publish in the future.
Co-authorship network of co-authors of Allyson F. Hadwin
This figure shows the co-authorship network connecting the top 25 collaborators of Allyson F. Hadwin. A scholar is included among the top collaborators of Allyson F. Hadwin 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 Allyson F. Hadwin. Allyson F. Hadwin 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 | 6 | |
| 3 | 17 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | Human and artificial intelligence collaboration for socially shared regulation in learningbreakdown → | 120 |
| 10 | 1 | |
| 11 | 31 | |
| 12 | 5 | |
| 13 | 77 | |
| 14 | 8 | |
| 15 | 48 | |
| 16 | Examining trace data to explore self-regulated learning. Metacognition & Learning, 2, 107-124 | 3 |
| 17 | 49 | |
| 18 | Building a case for self-regulating as a socially constructed phenomenon | 10 |
| 19 | 33 | |
| 20 | 27 |
About Allyson F. Hadwin
Allyson F. Hadwin is a scholar working on Developmental and Educational Psychology, Computer Science Applications and Communication, having authored 78 papers that have together received 4.2k indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (50 papers), Online and Blended Learning (18 papers) and Online Learning and Analytics (10 papers). The work is most often cited by research in Developmental and Educational Psychology (3.1k citations), Computer Science Applications (1.1k citations) and Education (2.3k citations). Allyson F. Hadwin has collaborated with scholars based in Canada, Finland and Australia. Frequent co-authors include Philip H. Winne, Sanna Järvelä, Roger Azevedo, Mariel Miller, John C. Nesbit, Carmen L.Z. Gress, Aishah Bakhtiar, Hanna Järvenoja, Jonna Malmberg and Dianne Jamieson‐Noel. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Educational Psychology and Computers in Human Behavior.
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.