Linda Corrin

42 papers and 413 indexed citations i.

About

Linda Corrin is a scholar working on Computer Science Applications, Education and Artificial Intelligence. According to data from OpenAlex, Linda Corrin has authored 42 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Science Applications, 11 papers in Education and 5 papers in Artificial Intelligence. Recurrent topics in Linda Corrin’s work include Online Learning and Analytics (14 papers), Online and Blended Learning (7 papers) and E-Learning and Knowledge Management (6 papers). Linda Corrin is often cited by papers focused on Online Learning and Analytics (14 papers), Online and Blended Learning (7 papers) and E-Learning and Knowledge Management (6 papers). Linda Corrin collaborates with scholars based in Australia, Taiwan and Hong Kong. Linda Corrin's co-authors include Jason M. Lodge, Kate Thompson, Paula De Barba, Sue Bennett, Lori Lockyer, Gregor Kennedy, Abi Brooker, Sarah Lambert, Gwo‐Jen Hwang and Raoul A. Mulder and has published in prestigious journals such as PLoS ONE, Educational Technology Research and Development and BMC Medical Education.

In The Last Decade

Co-authorship network of co-authors of Linda Corrin i

Fields of papers citing papers by Linda Corrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Linda Corrin

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025