Liat Ein‐Dor

24 papers and 1.4k indexed citations i.

About

Liat Ein‐Dor is a scholar working on Artificial Intelligence, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Liat Ein‐Dor has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Molecular Biology and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Liat Ein‐Dor’s work include Neural Networks and Applications (6 papers), Topic Modeling (5 papers) and Natural Language Processing Techniques (5 papers). Liat Ein‐Dor is often cited by papers focused on Neural Networks and Applications (6 papers), Topic Modeling (5 papers) and Natural Language Processing Techniques (5 papers). Liat Ein‐Dor collaborates with scholars based in Israel, Germany and United States. Liat Ein‐Dor's co-authors include Eytan Domany, Or Zuk, David Givol, Gad Getz, Itai Kela, Ido Kanter, Ilan Tsafrir, Dafna Tsafrir, Michal Ozery-Flato and Ron Shamir and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Liat Ein‐Dor i

Fields of papers citing papers by Liat Ein‐Dor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liat Ein‐Dor. 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 Liat Ein‐Dor. The network helps show where Liat Ein‐Dor may publish in the future.

Countries citing papers authored by Liat Ein‐Dor

Since Specialization
Citations

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