Paula De Barba
- Computer Science Applications top 0.2%
- Education top 2%
- Developmental and Educational Psychology top 5%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Co-authors
- Gregor KennedyLinda CorrinMary AinleyCarleton CoffrinJason M. LodgeAneesha BakhariaTracii RyanDragan Gašević
- Topics
- Online Learning and Analytics (21 papers)Innovative Teaching and Learning Methods (7 papers)E-Learning and Knowledge Management (6 papers)
- Journals
- Computers & EducationEducational Technology Research and DevelopmentJournal of Computer Assisted Learning
- Partner nations
- AustraliaUnited KingdomNetherlands
In The Last Decade
Paula De Barba
30 papers receiving 940 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Computer Science Applications 758
- Education 454
- Developmental and Educational Psychology 228
- Artificial Intelligence 156
- Information Systems 119
Countries citing papers authored by Paula De Barba
This map shows the geographic impact of Paula De Barba'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 Paula De Barba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paula De Barba more than expected).
Fields of papers citing papers by Paula De Barba
This network shows the impact of papers produced by Paula De Barba. 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 Paula De Barba. The network helps show where Paula De Barba may publish in the future.
Co-authorship network of co-authors of Paula De Barba
This figure shows the co-authorship network connecting the top 25 collaborators of Paula De Barba. A scholar is included among the top collaborators of Paula De Barba 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 Paula De Barba. Paula De Barba 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 | 2 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 24 | |
| 6 | 2 | |
| 7 | Detecting Contract Cheating Using Learning Analytics. | 3 |
| 8 | 1 | |
| 9 | Characterising Students' Writing Processes Using Temporal Keystroke Analysis. | 9 |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 68 | |
| 13 | Teaching self-regulated learning skills | 1 |
| 14 | 4 | |
| 15 | Completing the Loop- Returning Meaningful Learning Analytics Data to Teachers | 5 |
| 16 | 4 | |
| 17 | 6 | |
| 18 | 84 | |
| 19 | 45 | |
| 20 | 18 |
About Paula De Barba
Paula De Barba is a scholar working on Computer Science Applications, Health Informatics and Developmental and Educational Psychology, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Online Learning and Analytics (21 papers), Innovative Teaching and Learning Methods (7 papers) and E-Learning and Knowledge Management (6 papers). The work is most often cited by research in Computer Science Applications (758 citations), Developmental and Educational Psychology (228 citations) and Education (454 citations). Paula De Barba has collaborated with scholars based in Australia, United Kingdom and Netherlands. Frequent co-authors include Gregor Kennedy, Linda Corrin, Mary Ainley, Carleton Coffrin, Jason M. Lodge, Aneesha Bakharia, Tracii Ryan, Dragan Gašević, Abi Brooker and Lori Lockyer. Their work appears in journals such as Computers & Education, Educational Technology Research and Development and Journal of Computer Assisted Learning.
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.