Christopher Dann

637 citations
26 papers · 259 · h-index 6

Impact in

Papers in

Christopher Dann

23 papers receiving 247 citations

Peers

Christopher Dann
Comparison fields: 5 of 62
  • Computer Science Applications 87
  • Health Informatics 15
  • Artificial Intelligence 129
  • Information Systems 52
  • General Social Sciences 6
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Citations per year

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-authors

The 25 scholars most cited alongside Christopher Dann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christopher Dann Line = papers co-authored together Christopher Dann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022112
2 202282
3 20228
4 20237
5 20247
6 20235
7 20215
8 20224
9
Mobile Video Collection in Preservice Teacher Practicum Placements
20153
10
Outcomes of a Collaborative Contextualised Learning Approach to Teacher Professional Development in Papua, Indonesia.
20183
11 20233
12 20223
13
Using mobile video technologies to enhance the assessment and learning of pre-service teachers in Work Integrated Learning (WIL)
20133
14 20242
15
Enhancing learning and assessment of pre-service teachers on practicum placements using mobile technologies with video capture
20182
16 20152
17 20162
18 20241
19 20251
20 20241

About Christopher Dann

Christopher Dann is a scholar working on Education, Computer Science Applications, Artificial Intelligence, Social Psychology and Sociology and Political Science, having authored 26 papers that have together received 259 indexed citations. Recurring topics across this work include Online Learning and Analytics (8 papers), Sentiment Analysis and Opinion Mining (4 papers), Reflective Practices in Education (4 papers), Student Assessment and Feedback (4 papers), Mental Health via Writing (2 papers), Educator Training and Historical Pedagogy (2 papers), Collaborative Teaching and Inclusion (2 papers) and Innovative Teaching and Learning Methods (2 papers). The work is most often cited by research in Computer Science Applications (87 citations), Health Informatics (15 citations), Artificial Intelligence (129 citations), Information Systems (52 citations) and General Social Sciences (6 citations). Christopher Dann has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Thanveer Shaik, Xiaohui Tao, Linda Galligan, Petrea Redmond, Yan Li, Haoran Xie, Jacquie McDonald, Yan Li, Shirley O’Neill and Seyum Getenet. Their work appears in journals such as Australasian Journal of Paramedicine, IEEE Access, Research and Practice in Technology Enhanced Learning, Australasian Journal of Educational Technology and Studies In Educational Evaluation.

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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