Bruria Haberman

37 papers and 158 indexed citations i.

About

Bruria Haberman is a scholar working on Computer Science Applications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Bruria Haberman has authored 37 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Science Applications, 13 papers in Information Systems and 11 papers in Artificial Intelligence. Recurrent topics in Bruria Haberman’s work include Teaching and Learning Programming (31 papers), Innovative Teaching and Learning Methods (10 papers) and Software Engineering Research (8 papers). Bruria Haberman is often cited by papers focused on Teaching and Learning Programming (31 papers), Innovative Teaching and Learning Methods (10 papers) and Software Engineering Research (8 papers). Bruria Haberman collaborates with scholars based in Israel, United States and United Kingdom. Bruria Haberman's co-authors include David Ginat, Zahava Scherz, Avi Cohen, Ehud Shapiro, Yifat Ben‐David Kolikant, Noa Ragonis, John English, Helen C. Purchase, Catherine L. Reed and Donald Joyce and has published in prestigious journals such as Journal of Educational Computing Research, Education and Information Technologies and Journal of Information Technology Education Research.

In The Last Decade

Co-authorship network of co-authors of Bruria Haberman i

Fields of papers citing papers by Bruria Haberman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bruria Haberman

Since Specialization
Citations

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