Andrew Mabbott

459 total citations
4 papers, 115 citations indexed

About

Andrew Mabbott is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Media Technology. According to data from OpenAlex, Andrew Mabbott has authored 4 papers receiving a total of 115 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Developmental and Educational Psychology, 3 papers in Artificial Intelligence and 1 paper in Media Technology. Recurrent topics in Andrew Mabbott's work include Innovative Teaching and Learning Methods (4 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Learning Styles and Cognitive Differences (2 papers). Andrew Mabbott is often cited by papers focused on Innovative Teaching and Learning Methods (4 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Learning Styles and Cognitive Differences (2 papers). Andrew Mabbott collaborates with scholars based in United Kingdom and Greece. Andrew Mabbott's co-authors include Susan Bull, Kyparisia Papanikolaou and Maria Grigoriadou and has published in prestigious journals such as Interacting with Computers.

In The Last Decade

Andrew Mabbott

4 papers receiving 97 citations

Peers

Andrew Mabbott
Comparison fields: 5 of 26
  • Developmental and Educational Psychology 80
  • Computer Science Applications 65
  • Artificial Intelligence 50
  • Education 40
  • Information Systems 13
Replace Yanjin Long with:
Yanjin Long United States
Xinying Hou United States
Aysu Ezen-Can United States
Huixiao Le China
Ana Lidia Franzoni Velázquez Mexico
Tam Tran China
Michael Ringenberg United States
Jennifer L. Weston United States
Tongguang Li Australia
Gerald Futschek Austria
Yanjin Long United States View profile →
Citations per field, relative to Andrew Mabbott
Andrew Mabbott · 1×
Citations per year, relative to Andrew Mabbott
Andrew Mabbott · 1×

Countries citing papers authored by Andrew Mabbott

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Mabbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Mabbott

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

All Works

4 of 4 papers shown
# Work Indexed citations
1 29
2
Comparing Student-Constructed Open Learner Model Presentations to the Domain
6
3 56
4 24

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026