Martin Dougiamas

969 total citations
13 papers, 551 citations indexed

About

Martin Dougiamas is a scholar working on Computer Science Applications, Education and Artificial Intelligence. According to data from OpenAlex, Martin Dougiamas has authored 13 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Science Applications, 5 papers in Education and 4 papers in Artificial Intelligence. Recurrent topics in Martin Dougiamas's work include Innovative Teaching and Learning Methods (4 papers), Online Learning and Analytics (4 papers) and Online and Blended Learning (4 papers). Martin Dougiamas is often cited by papers focused on Innovative Teaching and Learning Methods (4 papers), Online Learning and Analytics (4 papers) and Online and Blended Learning (4 papers). Martin Dougiamas collaborates with scholars based in Australia, Japan and United Kingdom. Martin Dougiamas's co-authors include Peter Taylor, Mark Reynolds, Du Q. Huynh, Colin Tattersall, Rob Koper, Daniel Burgos, Hubert Vogten, Katsuaki Suzuki and Heinz Dreher and has published in prestigious journals such as IEEE Transactions on Learning Technologies, Journal of Computing in Higher Education and eSpace (Curtin University).

In The Last Decade

Martin Dougiamas

13 papers receiving 470 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Dougiamas Australia 8 295 233 134 133 87 13 551
Niall Sclater United Kingdom 14 393 1.3× 293 1.3× 112 0.8× 174 1.3× 83 1.0× 41 704
Tom Boyle United Kingdom 14 411 1.4× 300 1.3× 184 1.4× 141 1.1× 55 0.6× 52 731
Ruth Cobos Spain 14 330 1.1× 197 0.8× 207 1.5× 176 1.3× 120 1.4× 70 635
Louise Yarnall United States 13 172 0.6× 262 1.1× 145 1.1× 164 1.2× 62 0.7× 30 590
Panagiotis Zervas Greece 12 221 0.7× 127 0.5× 87 0.6× 211 1.6× 77 0.9× 80 589
Jaakko Kurhila Finland 11 259 0.9× 126 0.5× 137 1.0× 97 0.7× 55 0.6× 33 410
Nataša Hoić-Božić Croatia 11 228 0.8× 302 1.3× 197 1.5× 185 1.4× 59 0.7× 63 582
Mike Tissenbaum United States 12 275 0.9× 166 0.7× 210 1.6× 107 0.8× 46 0.5× 47 520
Beat A. Schwendimann Switzerland 9 352 1.2× 270 1.2× 197 1.5× 95 0.7× 95 1.1× 23 611
Brian Dorn United States 17 539 1.8× 162 0.7× 276 2.1× 172 1.3× 87 1.0× 42 735

Countries citing papers authored by Martin Dougiamas

Since Specialization
Citations

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

Fields of papers citing papers by Martin Dougiamas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Dougiamas

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

All Works

13 of 13 papers shown
1.
Huynh, Du Q., et al.. (2019). A supervised learning framework: using assessment to identify students at risk of dropping out of a MOOC. Journal of Computing in Higher Education. 32(1). 9–26. 37 indexed citations
2.
Huynh, Du Q., et al.. (2019). A Quest for a One-Size-Fits-All Neural Network: Early Prediction of Students at Risk in Online Courses. IEEE Transactions on Learning Technologies. 12(2). 171–183. 34 indexed citations
3.
Dougiamas, Martin, et al.. (2019). Implementation of Voice User Interfaces to Enhance Users’ Activities on Moodle. 104–107. 6 indexed citations
4.
Huynh, Du Q., et al.. (2018). A supervised learning framework for learning management systems. 1–8. 14 indexed citations
6.
Burgos, Daniel, Colin Tattersall, Martin Dougiamas, Hubert Vogten, & Rob Koper. (2007). A First Step Mapping IMS Learning Design and Moodle. Zenodo (CERN European Organization for Nuclear Research). 10 indexed citations
7.
Dougiamas, Martin. (2007). Moodle: a case study in sustainability. 6 indexed citations
8.
Burgos, Daniel, Colin Tattersall, Martin Dougiamas, Hubert Vogten, & Rob Koper. (2006). Mapping IMS learning design and Moodle: a first understanding. Data Archiving and Networked Services (DANS). 79–85. 3 indexed citations
9.
Dougiamas, Martin. (2006). Moodle-A Free, Open Source Course Management System for Online Learning. Medical Entomology and Zoology. 63 indexed citations
10.
Dougiamas, Martin & Peter Taylor. (2003). MOODLE: Using learning communities to create an open source course management system. Murdoch Research Repository (Murdoch University). 2003(1). 171–178. 290 indexed citations
11.
Dougiamas, Martin & Peter Taylor. (2002). Interpretive analysis of an internet-based course constructed using a new courseware tool called Moodle. Murdoch Research Repository (Murdoch University). 56 indexed citations
12.
Dougiamas, Martin & Peter Taylor. (2000). Improving the effectiveness of tools for Internet based education. Murdoch Research Repository (Murdoch University). 25 indexed citations
13.
Dougiamas, Martin, et al.. (2000). Using on-line journals to stimulate reflective thinking. eSpace (Curtin University). 1 indexed citations

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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