Tamara Sumner

66 papers and 927 indexed citations i.

About

Tamara Sumner is a scholar working on Computer Science Applications, Artificial Intelligence and Education. According to data from OpenAlex, Tamara Sumner has authored 66 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Science Applications, 20 papers in Artificial Intelligence and 13 papers in Education. Recurrent topics in Tamara Sumner’s work include Innovative Teaching and Learning Methods (12 papers), Topic Modeling (10 papers) and Online Learning and Analytics (9 papers). Tamara Sumner is often cited by papers focused on Innovative Teaching and Learning Methods (12 papers), Topic Modeling (10 papers) and Online Learning and Analytics (9 papers). Tamara Sumner collaborates with scholars based in United States, Iran and United Kingdom. Tamara Sumner's co-authors include Md Arafat Sultan, Steven Bethard, Alexander Repenning, William R. Penuel, Heather Leary, Kirsten R. Butcher, Gerry Stahl, Kumiyo Nakakoji, Jonathan Ostwald and Gerhard Fischer and has published in prestigious journals such as Communications of the ACM, Computers & Education and Teaching and Teacher Education.

In The Last Decade

Co-authorship network of co-authors of Tamara Sumner i

Fields of papers citing papers by Tamara Sumner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tamara Sumner

Since Specialization
Citations

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