Christopher Dann

637 total citations
26 papers, 259 citations indexed

About

Christopher Dann is a scholar working on Education, Computer Science Applications and Artificial Intelligence. According to data from OpenAlex, Christopher Dann has authored 26 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Education, 8 papers in Computer Science Applications and 6 papers in Artificial Intelligence. Recurrent topics in Christopher Dann's work include Online Learning and Analytics (8 papers), Sentiment Analysis and Opinion Mining (4 papers) and Reflective Practices in Education (4 papers). Christopher Dann is often cited by papers focused on Online Learning and Analytics (8 papers), Sentiment Analysis and Opinion Mining (4 papers) and Reflective Practices in Education (4 papers). Christopher Dann collaborates with scholars based in Australia, China and United States. Christopher Dann's co-authors include Xiaohui Tao, Thanveer Shaik, Linda Galligan, Yan Li, Petrea Redmond, Jacquie McDonald, Haoran Xie, Yan Li, Shirley O’Neill and Seyum Getenet and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Australasian Journal of Paramedicine.

In The Last Decade

Christopher Dann

23 papers receiving 247 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christopher Dann Australia 6 129 87 52 43 22 26 259
Omaima Almatrafi United States 7 134 1.0× 194 2.2× 69 1.3× 83 1.9× 46 2.1× 15 337
Jinnie Shin United States 8 89 0.7× 72 0.8× 54 1.0× 60 1.4× 42 1.9× 27 231
Moriah Ariely Israel 5 88 0.7× 117 1.3× 50 1.0× 70 1.6× 41 1.9× 8 269
Arne Bewersdorff Germany 7 92 0.7× 127 1.5× 55 1.1× 51 1.2× 37 1.7× 18 286
Nadezhda Zhiyenbayeva Kazakhstan 5 78 0.6× 135 1.6× 83 1.6× 82 1.9× 43 2.0× 15 311
Olga Tapalova Kazakhstan 4 71 0.6× 120 1.4× 75 1.4× 52 1.2× 27 1.2× 21 257
Ahmed Maalel Tunisia 8 63 0.5× 60 0.7× 36 0.7× 22 0.5× 76 3.5× 21 192
Violeta Negrea United Kingdom 2 67 0.5× 105 1.2× 47 0.9× 44 1.0× 18 0.8× 5 214
Kazuhisa Seta Japan 7 148 1.1× 50 0.6× 56 1.1× 46 1.1× 58 2.6× 53 259
Gomathy Ramaswami New Zealand 7 88 0.7× 168 1.9× 38 0.7× 43 1.0× 22 1.0× 9 248

Countries citing papers authored by Christopher Dann

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Dann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher Dann. 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 Christopher Dann. The network helps show where Christopher Dann may publish in the future.

Co-authorship network of co-authors of Christopher Dann

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Dann. A scholar is included among the top collaborators of Christopher Dann 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 Christopher Dann. Christopher Dann 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
1.
2.
Dann, Christopher, et al.. (2024). Collaborative Synchronous Coaching to Enable the Third Space in Initial Teacher Education. Action in Teacher Education. 46(3). 208–225. 1 indexed citations
3.
Dann, Christopher, Shirley O’Neill, Seyum Getenet, et al.. (2024). Improving Teaching and Learning in Higher Education through Machine Learning: Proof of Concept’ of AI’s Ability to Assess the Use of Key Microskills. Education Sciences. 14(8). 886–886. 2 indexed citations
4.
Dann, Christopher, Petrea Redmond, Alice Brown, et al.. (2024). Making sense of student feedback and engagement using artificial intelligence. Australasian Journal of Educational Technology. 7 indexed citations
5.
Biswas, Kumar, Sudipta Bose, Syed Shams, Christopher Dann, & Alice Brown. (2024). Student Satisfaction and University Enrollments: Does the Urban or Regional Status of Australian Higher Education Institutions Matter?. SHILAP Revista de lepidopterología. 27(2). 798–818. 1 indexed citations
6.
Getenet, Seyum, et al.. (2023). Characteristics of engaging teaching videos in higher education: a systematic literature review of teachers’ behaviours and movements in video conferencing. Research and Practice in Technology Enhanced Learning. 18. 40–40. 5 indexed citations
7.
Tao, Xiaohui, Patrick Delaney, Christopher Dann, et al.. (2023). Towards an understanding of the engagement and emotional behaviour of MOOC students using sentiment and semantic features. Computers and Education Artificial Intelligence. 4. 100116–100116. 7 indexed citations
8.
Dann, Christopher, et al.. (2023). Teaching project management to primary school children: a scoping review. The Australian Educational Researcher. 51(4). 1035–1062. 3 indexed citations
9.
Shaik, Thanveer, Xiaohui Tao, Christopher Dann, et al.. (2022). Sentiment analysis and opinion mining on educational data: A survey. arXiv (Cornell University). 2. 100003–100003. 82 indexed citations
10.
Tao, Xiaohui, Patrick Delaney, Lin Li, et al.. (2022). Data Analytics on Online Student Engagement Data for Academic Performance Modeling. IEEE Access. 10. 103176–103186. 8 indexed citations
11.
Shaik, Thanveer, Xiaohui Tao, Yan Li, et al.. (2022). A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis. IEEE Access. 10. 56720–56739. 112 indexed citations
12.
Shaik, Thanveer, et al.. (2022). Educational Decision Support System Adopting Sentiment Analysis on Student Feedback. 377–383. 4 indexed citations
13.
Dann, Christopher, Seyum Getenet, Niraj Verma, et al.. (2021). Machine learning system to guide teacher reflection on behavior management skills. University of Southern Queensland ePrints (University of Southern Queensland). 1 indexed citations
14.
Robertson, Ann, et al.. (2018). Outcomes of a Collaborative Contextualised Learning Approach to Teacher Professional Development in Papua, Indonesia.. USC Research Bank (University of the Sunshine Coast). 17(2). 88–101. 3 indexed citations
15.
Dann, Christopher. (2018). Enhancing learning and assessment of pre-service teachers on practicum placements using mobile technologies with video capture. Australasian Journal of Paramedicine. 2 indexed citations
16.
Richardson, Tony, et al.. (2017). Formative Assessment Practices for Pre-Service Teacher Practicum Feedback. Advances in higher education and professional development book series. 1 indexed citations
17.
Richardson, Tony, et al.. (2017). Formative Assessment Practices for Pre-Service Teacher Practicum Feedback: Emerging Research and Opportunities. Australasian Journal of Paramedicine.
18.
Dann, Christopher, et al.. (2015). Mobile Video Collection in Preservice Teacher Practicum Placements. Australasian Journal of Paramedicine. 23(1). 5–27. 3 indexed citations
19.
Dann, Christopher, et al.. (2013). A mobile assessment platform: a shared space for critical discourse. USC Research Bank (University of the Sunshine Coast). 1 indexed citations
20.
Dann, Christopher, et al.. (2012). Designing mobile information systems to support WIL experiences. 653–656.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Omaima Almatrafi Breakdown of academic impact, for papers by Jinnie Shin Breakdown of academic impact, for papers by Moriah Ariely Breakdown of academic impact, for papers by Arne Bewersdorff Breakdown of academic impact, for papers by Nadezhda Zhiyenbayeva Breakdown of academic impact, for papers by Olga Tapalova Breakdown of academic impact, for papers by Ahmed Maalel Breakdown of academic impact, for papers by Violeta Negrea Breakdown of academic impact, for papers by Kazuhisa Seta Breakdown of academic impact, for papers by Gomathy Ramaswami
Rankless by CCL
2026