Paula De Barba

1.6k total citations · 1 hit paper
31 papers, 1.0k citations indexed

About

Paula De Barba is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Education. According to data from OpenAlex, Paula De Barba has authored 31 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Science Applications, 9 papers in Developmental and Educational Psychology and 8 papers in Education. Recurrent topics in Paula De Barba's work include Online Learning and Analytics (21 papers), Innovative Teaching and Learning Methods (7 papers) and E-Learning and Knowledge Management (6 papers). Paula De Barba is often cited by papers focused on Online Learning and Analytics (21 papers), Innovative Teaching and Learning Methods (7 papers) and E-Learning and Knowledge Management (6 papers). Paula De Barba collaborates with scholars based in Australia, United Kingdom and Iran. Paula De Barba's co-authors include Gregor Kennedy, Linda Corrin, Mary Ainley, Carleton Coffrin, Jason M. Lodge, Aneesha Bakharia, Shane Dawson, Lori Lockyer, Abi Brooker and Dragan Gašević and has published in prestigious journals such as Computers & Education, Educational Technology Research and Development and Journal of Computer Assisted Learning.

In The Last Decade

Paula De Barba

30 papers receiving 940 citations

Hit Papers

The role of students' mot... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paula De Barba Australia 12 758 454 228 156 119 31 1.0k
Dan Davis Netherlands 12 508 0.7× 452 1.0× 365 1.6× 133 0.9× 139 1.2× 29 930
Lori Breslow United States 8 806 1.1× 562 1.2× 191 0.8× 131 0.8× 147 1.2× 17 1.1k
Il‐Hyun Jo South Korea 14 503 0.7× 447 1.0× 238 1.0× 114 0.7× 158 1.3× 53 802
Ioana Jivet Germany 12 592 0.8× 286 0.6× 239 1.0× 143 0.9× 92 0.8× 29 820
Rwitajit Majumdar Japan 13 394 0.5× 356 0.8× 214 0.9× 125 0.8× 153 1.3× 85 793
Arif Altun Türkiye 14 346 0.5× 401 0.9× 238 1.0× 104 0.7× 141 1.2× 74 849
Ahmed Mohamed Fahmy Yousef Egypt 16 557 0.7× 389 0.9× 175 0.8× 80 0.5× 211 1.8× 41 909
Rianne Conijn Netherlands 11 417 0.6× 351 0.8× 188 0.8× 171 1.1× 135 1.1× 29 784
Daner Sun Hong Kong 17 338 0.4× 433 1.0× 310 1.4× 119 0.8× 271 2.3× 86 929
Robert Bodily United States 14 663 0.9× 482 1.1× 253 1.1× 107 0.7× 182 1.5× 20 1000

Countries citing papers authored by Paula De Barba

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Barba, Paula De, et al.. (2025). Development and validation of a learning analytics rubric for self-regulated learning. Educational Technology Research and Development. 73(5). 3223–3245.
2.
Barba, Paula De, et al.. (2025). Investigating Validity and Generalisability in Trace-Based Measurement of Self-Regulated Learning: A Multidisciplinary Study. Monash University Research Portal (Monash University). 339–350. 2 indexed citations
3.
Lodge, Jason M., Paula De Barba, & Jaclyn Broadbent. (2024). Learning with Generative Artificial Intelligence Within a Network of Co-Regulation. Journal of University Teaching and Learning Practice. 20(7). 3 indexed citations
4.
Barba, Paula De, et al.. (2024). Do Beliefs About Intelligence Drive Engagement in Online Learning?. ASCILITE Publications. 223–233. 1 indexed citations
5.
Lodge, Jason M., Paula De Barba, & Jaclyn Broadbent. (2023). Learning with Generative Artificial Intelligence Within a Network of Co-Regulation. Journal of University Teaching and Learning Practice. 20(7). 24 indexed citations
6.
Barba, Paula De, et al.. (2022). The Impact of Cognitive Load on Students’ Academic Writing: An Authorship Verification Investigation. ASCILITE Publications. e22177–e22177. 2 indexed citations
7.
Trezise, Kelly, Tracii Ryan, Paula De Barba, & Gregor Kennedy. (2019). Detecting Contract Cheating Using Learning Analytics.. Journal of Learning Analytics. 6(3). 90–104. 3 indexed citations
8.
Barba, Paula De, et al.. (2019). Students’ self-regulated learning skills and attitudes in online scientific inquiry tasks. ASCILITE Publications. 407–412. 1 indexed citations
9.
Bailey, James, et al.. (2019). Characterising Students' Writing Processes Using Temporal Keystroke Analysis.. Educational Data Mining. 9 indexed citations
10.
Trezise, Kelly, Tracii Ryan, Paula De Barba, & Gregor Kennedy. (2019). Detecting Academic Misconduct Using Learning Analytics. Journal of Learning Analytics. 6(3). 11 indexed citations
11.
Lodge, Jason M., Kate Thompson, Jared Cooney Horvath, Paula De Barba, & Marion Blumenstein. (2018). Learning analytics in the classroom. ASCILITE Publications. 559–561. 2 indexed citations
12.
Barba, Paula De, Gregor Kennedy, & Kelly Trezise. (2018). Procedural and conceptual confusion in a discovery-based digital learning environment. ASCILITE Publications. 340–345. 1 indexed citations
13.
Corrin, Linda, Paula De Barba, & Aneesha Bakharia. (2017). Using learning analytics to explore help-seeking learner profiles in MOOCs. Swinburne Research Bank (Swinburne University of Technology). 424–428. 24 indexed citations
14.
Harding, Susan-Marie, et al.. (2016). Teaching self-regulated learning skills. Minerva Access (University of Melbourne). 1 indexed citations
15.
Arguel, Amaël, Jason M. Lodge, Mariya Pachman, & Paula De Barba. (2016). Confidence drives exploration strategies in interactive simulations. ASCILITE Publications. 33–42. 4 indexed citations
16.
Corrin, Linda, Gregor Kennedy, Paula De Barba, et al.. (2015). Loop. ASCILITE Publications. 409–413. 4 indexed citations
17.
Corrin, Linda, Gregor Kennedy, Paula De Barba, et al.. (2015). Loop: A learning analytics tool to provide teachers with useful data visualisations. Swinburne Research Bank (Swinburne University of Technology). 409–413. 6 indexed citations
18.
Kennedy, Gregor, Carleton Coffrin, Paula De Barba, & Linda Corrin. (2015). Predicting success. Swinburne Research Bank (Swinburne University of Technology). 136–140. 84 indexed citations
19.
Corrin, Linda & Paula De Barba. (2014). Exploring students’ interpretation of feedback delivered through learning analytics dashboards. ASCILITE Publications. 629–633. 45 indexed citations
20.
Bower, Matt, Gregor Kennedy, Barney Dalgarno, et al.. (2012). Use of media-rich real-time collaboration tools for learning and teaching in Australian and New Zealand universities. ASCILITE Publications. 133–144. 18 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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