Shaun Kellogg
- Computer Science Applications top 2%
- Education top 5%
- Developmental and Educational Psychology top 10%
- Artificial Intelligence
- Information Systems top 10%
- Co-authors
- Kevin OliverKristy Elizabeth BoyerAysu Ezen-CanKevin P. BradyHollylynne S. LeeEric WiebeRobin AndersonSusan T. Hibbard
- Topics
- Online Learning and Analytics (7 papers)Online and Blended Learning (7 papers)Innovative Teaching and Learning Methods (4 papers)
- Journals
- British Journal of Educational TechnologyThe International Review of Research in Open and Distributed LearningDistance Education
- Partner nations
- United States
In The Last Decade
Shaun Kellogg
13 papers receiving 294 citations
Peers
Comparison fields: 5 of 50
- Computer Science Applications 201
- Education 167
- Developmental and Educational Psychology 82
- Artificial Intelligence 56
- Information Systems 47
Countries citing papers authored by Shaun Kellogg
This map shows the geographic impact of Shaun Kellogg'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 Shaun Kellogg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaun Kellogg more than expected).
Fields of papers citing papers by Shaun Kellogg
This network shows the impact of papers produced by Shaun Kellogg. 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 Shaun Kellogg. The network helps show where Shaun Kellogg may publish in the future.
Co-authorship network of co-authors of Shaun Kellogg
This figure shows the co-authorship network connecting the top 25 collaborators of Shaun Kellogg. A scholar is included among the top collaborators of Shaun Kellogg 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 Shaun Kellogg. Shaun Kellogg 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 | 5 | |
| 4 | 5 | |
| 5 | Time to Shine: Extending Certificate Deadlines to Support Open Online Teacher Professional Development. | 2 |
| 6 | 15 | |
| 7 | 7 | |
| 8 | 22 | |
| 9 | 93 | |
| 10 | 93 | |
| 11 | 47 | |
| 12 | Patterns of Peer Interaction and Mechanisms Governing Social Network Structure in Two Massively Open Online Courses for Educators. | 3 |
| 13 | An Investigation into Reported Differences Between Online Math Instruction and Other Subject Areas in a Virtual School | 8 |
| 14 | 21 |
About Shaun Kellogg
Shaun Kellogg is a scholar working on Computer Science Applications, Health Informatics and Family Practice, having authored 14 papers that have together received 322 indexed citations. Recurring topics across this work include Online Learning and Analytics (7 papers), Online and Blended Learning (7 papers) and Innovative Teaching and Learning Methods (4 papers). The work is most often cited by research in Computer Science Applications (201 citations), Developmental and Educational Psychology (82 citations) and Education (167 citations). Shaun Kellogg has collaborated with scholars based in United States. Frequent co-authors include Kevin Oliver, Kristy Elizabeth Boyer, Aysu Ezen-Can, Kevin P. Brady, Hollylynne S. Lee, Eric Wiebe, Robin Anderson and Susan T. Hibbard. Their work appears in journals such as British Journal of Educational Technology, The International Review of Research in Open and Distributed Learning and Distance 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.