Paula De Barba

19 papers and 441 indexed citations i.

About

Paula De Barba is a scholar working on Computer Science Applications, Artificial Intelligence and Developmental and Educational Psychology. According to data from OpenAlex, Paula De Barba has authored 19 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Science Applications, 6 papers in Artificial Intelligence and 6 papers in Developmental and Educational Psychology. Recurrent topics in Paula De Barba’s work include Online Learning and Analytics (10 papers), Innovative Teaching and Learning Methods (4 papers) and Intelligent Tutoring Systems and Adaptive Learning (4 papers). Paula De Barba is often cited by papers focused on Online Learning and Analytics (10 papers), Innovative Teaching and Learning Methods (4 papers) and Intelligent Tutoring Systems and Adaptive Learning (4 papers). Paula De Barba collaborates with scholars based in Australia, United States and Iran. Paula De Barba's co-authors include Gregor Kennedy, Mary Ainley, Linda Corrin, Jason M. Lodge, Abi Brooker, Tracii Ryan, James Bailey, Jaclyn Broadbent, Kelly Trezise and Barney Dalgarno and has published in prestigious journals such as Computers & Education, Journal of Computer Assisted Learning and Australasian Journal of Educational Technology.

In The Last Decade

Co-authorship network of co-authors of Paula De Barba i

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.

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).

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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2025