Philip H. Winne

20.1k citations
166 papers · 11.3k indexed · 2 hit papers · h-index 56
Topics
Innovative Teaching and Learning Methods (86 papers)Educational Strategies and Epistemologies (39 papers)Online and Blended Learning (32 papers)

In The Last Decade

Philip H. Winne

161 papers receiving 9.9k citations

Hit Papers

Feedback and Self-Regulated Learning: A Theoretical Synth...19952026200520151995199550010001.5k2.0k

Peers

Philip H. Winne
Comparison fields: 5 of 151
  • Developmental and Educational Psychology 7.0k
  • Education 6.5k
  • Computer Science Applications 2.4k
  • Experimental and Cognitive Psychology 1.6k
  • Social Psychology 1.3k
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Citations per field
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Citations per year

Countries citing papers authored by Philip H. Winne

Since Specialization
Citations

This map shows the geographic impact of Philip H. Winne'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 Philip H. Winne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip H. Winne more than expected).

Fields of papers citing papers by Philip H. Winne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip H. Winne. 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 Philip H. Winne. The network helps show where Philip H. Winne may publish in the future.

Co-authorship network of co-authors of Philip H. Winne

This figure shows the co-authorship network connecting the top 25 collaborators of Philip H. Winne. A scholar is included among the top collaborators of Philip H. Winne 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 Philip H. Winne. Philip H. Winne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 11
3 13
4 1
5 14
6 3
7 6
8 9
9
Generating Natural Language Questions to Support Learning On-Line
67
10
Adaptive Learning Environments: Foundations and Frontiers
3
11
Assessing the psychometric properties of the achievement goals questionnaire across task contexts
8
12
Bootstrapping learner's self-regulated learning.
32
13 48
14 87
15
Pedagogy: teaching for learning
15
16 49
17
The Role of Feedback on Studying, Achievement and Calibration.
3
18
Feedback and Self-Regulated Learning: A Theoretical Synthesisbreakdown →
2133
19
Exploring Individual Differences in Studying Strategies Using Graph Theoretic Statistics.
30
20 20

About Philip H. Winne

Philip H. Winne is a scholar working on Developmental and Educational Psychology, Computer Science Applications and Education, having authored 166 papers that have together received 11.3k indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (86 papers), Educational Strategies and Epistemologies (39 papers) and Online and Blended Learning (32 papers). The work is most often cited by research in Developmental and Educational Psychology (7.0k citations), Computer Science Applications (2.4k citations) and Education (6.5k citations). Philip H. Winne has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Deborah L. Butler, Allyson F. Hadwin, Dianne Jamieson‐Noel, John C. Nesbit, Ronald W. Marx, Carmen L.Z. Gress, Nancy E. Perry, Krista R. Muis, James Hartley and Ken R. Lodewyk. Their work appears in journals such as Child Development, Annual Review of Psychology and Journal of Educational Psychology.

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.

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