Dan Lahav

31 total papers · 584 total citations
8 papers, 104 citations indexed

About

Dan Lahav is a scholar working on Artificial Intelligence, Health and Sociology and Political Science. According to data from OpenAlex, Dan Lahav has authored 8 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Health and 2 papers in Sociology and Political Science. Recurrent topics in Dan Lahav’s work include Misinformation and Its Impacts (2 papers), Topic Modeling (2 papers) and Vaccine Coverage and Hesitancy (2 papers). Dan Lahav is often cited by papers focused on Misinformation and Its Impacts (2 papers), Topic Modeling (2 papers) and Vaccine Coverage and Hesitancy (2 papers). Dan Lahav collaborates with scholars based in Israel, United States and United Kingdom. Dan Lahav's co-authors include Noam Shomron, U. Orgad, Eran Lavy, Ahuva Weiss‐Meilik, Eyal Ranen, Amos Adler, Gillian Dank, Yazeed Zoabi, Shimon Perk and Nina Martin 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

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Lahav. A scholar is included among the top collaborators of Dan Lahav based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Lahav. Dan Lahav is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Dan Lahav

7 papers receiving 101 citations

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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2026