Brian Dorn

14 papers and 144 indexed citations i.

About

Brian Dorn is a scholar working on Computer Science Applications, Education and Information Systems. According to data from OpenAlex, Brian Dorn has authored 14 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Science Applications, 6 papers in Education and 3 papers in Information Systems. Recurrent topics in Brian Dorn’s work include Teaching and Learning Programming (6 papers), Online and Blended Learning (5 papers) and Online Learning and Analytics (4 papers). Brian Dorn is often cited by papers focused on Teaching and Learning Programming (6 papers), Online and Blended Learning (5 papers) and Online Learning and Analytics (4 papers). Brian Dorn collaborates with scholars based in United States. Brian Dorn's co-authors include Allison Elliott Tew, Dean Sanders, Thomas Park, Andrea Forte, Mark Guzdial, Hesham Ali and Neal Grandgenett and has published in prestigious journals such as Computer, Computer Science Education and ACM Transactions on Computing Education.

In The Last Decade

Co-authorship network of co-authors of Brian Dorn i

Fields of papers citing papers by Brian Dorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Brian Dorn

Since Specialization
Citations

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