Beata Beigman Klebanov

44 papers and 436 indexed citations i.

About

Beata Beigman Klebanov is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Education. According to data from OpenAlex, Beata Beigman Klebanov has authored 44 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 6 papers in Developmental and Educational Psychology and 4 papers in Education. Recurrent topics in Beata Beigman Klebanov’s work include Natural Language Processing Techniques (25 papers), Topic Modeling (20 papers) and Advanced Text Analysis Techniques (8 papers). Beata Beigman Klebanov is often cited by papers focused on Natural Language Processing Techniques (25 papers), Topic Modeling (20 papers) and Advanced Text Analysis Techniques (8 papers). Beata Beigman Klebanov collaborates with scholars based in United States, Canada and Israel. Beata Beigman Klebanov's co-authors include Eyal Beigman, Michael Flor, Daniel Diermeier, Eli Shamir, Michael Heilman, Chee Wee Leong, Ekaterina Shutova, Jill Burstein, Song Yi and Paul Deane and has published in prestigious journals such as Journal of Educational Psychology, Computational Linguistics and Political Analysis.

In The Last Decade

Co-authorship network of co-authors of Beata Beigman Klebanov i

Fields of papers citing papers by Beata Beigman Klebanov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beata Beigman Klebanov. 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 Beata Beigman Klebanov. The network helps show where Beata Beigman Klebanov may publish in the future.

Countries citing papers authored by Beata Beigman Klebanov

Since Specialization
Citations

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