Tanya Nazaretsky

About

Tanya Nazaretsky is a scholar working on Artificial Intelligence, Education and Computer Science Applications. According to data from OpenAlex, Tanya Nazaretsky has authored 11 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Education and 3 papers in Computer Science Applications. Recurrent topics in Tanya Nazaretsky’s work include Explainable Artificial Intelligence (XAI) (4 papers), Online Learning and Analytics (3 papers) and Topic Modeling (3 papers). Tanya Nazaretsky is often cited by papers focused on Explainable Artificial Intelligence (XAI) (4 papers), Online Learning and Analytics (3 papers) and Topic Modeling (3 papers). Tanya Nazaretsky collaborates with scholars based in Israel, United Kingdom and Switzerland. Tanya Nazaretsky's co-authors include Giora Alexandron, Mutlu Cukurova, Tanja Käser, Jamie N. Mikeska, Beata Beigman Klebanov, Thiemo Wambsganß and Antoine Bosselut and has published in prestigious journals such as Journal of Research in Science Teaching, British Journal of Educational Technology and International Journal of Artificial Intelligence in Education.

In The Last Decade

Co-authorship network of co-authors of Tanya Nazaretsky i

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Fields of papers citing papers by Tanya Nazaretsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tanya Nazaretsky

Since Specialization

Citations

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