Tina Waldman

About

Tina Waldman is a scholar working on Artificial Intelligence, Education and Language and Linguistics. According to data from OpenAlex, Tina Waldman has authored 3 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Education and 1 paper in Language and Linguistics. Recurrent topics in Tina Waldman’s work include Second Language Learning and Teaching (1 paper), Online and Blended Learning (1 paper) and Online Learning and Analytics (1 paper). Tina Waldman is often cited by papers focused on Second Language Learning and Teaching (1 paper), Online and Blended Learning (1 paper) and Online Learning and Analytics (1 paper). Tina Waldman collaborates with scholars based in Israel. Tina Waldman's co-authors include Batia Laufer and Michal Arnon and has published in prestigious journals such as Language Learning and World Journal of English Language.

In The Last Decade

Co-authorship network of co-authors of Tina Waldman i

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Fields of papers citing papers by Tina Waldman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tina Waldman

Since Specialization

Citations

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