Dan Lahav

16 papers and 236 indexed citations i.

About

Dan Lahav is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Dan Lahav has authored 16 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Sociology and Political Science and 3 papers in Information Systems. Recurrent topics in Dan Lahav’s work include Topic Modeling (9 papers), Natural Language Processing Techniques (4 papers) and Misinformation and Its Impacts (4 papers). Dan Lahav is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (4 papers) and Misinformation and Its Impacts (4 papers). Dan Lahav collaborates with scholars based in Israel, United States and United Kingdom. Dan Lahav's co-authors include Noam Slonim, Assaf Toledo, Shai Gretz, Ranit Aharonov, Edo Cohen-Karlik, Roy Bar-Haim, Yoav Kantor, Michal Jacovi, Eyal Ranen and Eran Lavy and has published in prestigious journals such as Scientific Reports, Journal of Medical Internet Research and The Veterinary Journal.

In The Last Decade

Co-authorship network of co-authors of Dan Lahav i

Fields of papers citing papers by Dan Lahav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dan Lahav

Since Specialization
Citations

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