Melissa Duffy
- Developmental and Educational Psychology top 2%
- Education top 2%
- Computer Science Applications top 2%
- Experimental and Cognitive Psychology top 10%
- Artificial Intelligence top 10%
- Co-authors
- Roger AzevedoKrista R. MuisGregory TrevorsSusanne P. LajoieJason M. HarleyJohn RanellucciAmanda JarrellEric Poitras
- Topics
- Innovative Teaching and Learning Methods (7 papers)Online Learning and Analytics (4 papers)Intelligent Tutoring Systems and Adaptive Learning (4 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Melissa Duffy
31 papers receiving 874 citations
Peers
Comparison fields: 5 of 101
- Developmental and Educational Psychology 438
- Education 358
- Computer Science Applications 184
- Experimental and Cognitive Psychology 141
- Artificial Intelligence 134
Countries citing papers authored by Melissa Duffy
This map shows the geographic impact of Melissa Duffy'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 Melissa Duffy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa Duffy more than expected).
Fields of papers citing papers by Melissa Duffy
This network shows the impact of papers produced by Melissa Duffy. 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 Melissa Duffy. The network helps show where Melissa Duffy may publish in the future.
Co-authorship network of co-authors of Melissa Duffy
This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Duffy. A scholar is included among the top collaborators of Melissa Duffy 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 Melissa Duffy. Melissa Duffy 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 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 23 | |
| 6 | 86 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 21 | |
| 10 | 45 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 9 | |
| 15 | 57 | |
| 16 | 13 | |
| 17 | 32 | |
| 18 | The Effectiveness of Pedagogical Agents’ Prompting and Feedback in Facilitating Co-adapted Learning with MetaTutor | 8 |
| 19 | 31 | |
| 20 | Determining priorities for change in primary care: the value of practice-based needs assessment. | 12 |
About Melissa Duffy
Melissa Duffy is a scholar working on Family Practice, Computer Science Applications and Developmental and Educational Psychology, having authored 33 papers that have together received 911 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (7 papers), Online Learning and Analytics (4 papers) and Intelligent Tutoring Systems and Adaptive Learning (4 papers). The work is most often cited by research in Developmental and Educational Psychology (438 citations), Computer Science Applications (184 citations) and Education (358 citations). Melissa Duffy has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Roger Azevedo, Krista R. Muis, Gregory Trevors, Susanne P. Lajoie, Jason M. Harley, John Ranellucci, Amanda Jarrell, Eric Poitras, Kevin Lachapelle and Reinhard Pekrun. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.