Paula De Barba

42 total papers · 1.6k total citations
31 papers, 995 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 995 indexed citations (citations by other indexed papers that have themselves been cited), including 20 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 (20 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 (20 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 United States. Paula De Barba's co-authors include Gregor Kennedy, Linda Corrin, Mary Ainley, Carleton Coffrin, Jason M. Lodge, Aneesha Bakharia, Tracii Ryan, Abi Brooker, David J. Williams and Shane Dawson 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

29 papers receiving 929 citations

Hit Papers

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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Paula De Barba 749 450 226 154 117 31 995
Dan Davis 503 0.7× 453 1.0× 362 1.6× 132 0.9× 140 1.2× 29 920
Lori Breslow 807 1.1× 576 1.3× 192 0.8× 131 0.9× 149 1.3× 18 1.1k
Maren Scheffel 814 1.1× 379 0.8× 320 1.4× 222 1.4× 183 1.6× 58 1.2k
Zacharoula Papamitsiou 637 0.9× 273 0.6× 201 0.9× 263 1.7× 197 1.7× 31 1.1k
Ioana Jivet 587 0.8× 287 0.6× 236 1.0× 141 0.9× 93 0.8× 29 799
Il‐Hyun Jo 500 0.7× 445 1.0× 236 1.0× 114 0.7× 157 1.3× 53 798
Ahmed Mohamed Fahmy Yousef 554 0.7× 384 0.9× 173 0.8× 80 0.5× 212 1.8× 40 899
Muhsin Menekşe 372 0.5× 455 1.0× 277 1.2× 88 0.6× 131 1.1× 60 948
Linda Corrin 708 0.9× 453 1.0× 184 0.8× 143 0.9× 173 1.5× 63 1.1k
Oleksandra Poquet 692 0.9× 450 1.0× 287 1.3× 154 1.0× 148 1.3× 41 1.1k

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

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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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