Lyle Ungar

335 papers and 12.7k indexed citations i.

About

Lyle Ungar is a scholar working on Artificial Intelligence, Social Psychology and Sociology and Political Science. According to data from OpenAlex, Lyle Ungar has authored 335 papers receiving a total of 12.7k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Artificial Intelligence, 75 papers in Social Psychology and 46 papers in Sociology and Political Science. Recurrent topics in Lyle Ungar’s work include Mental Health via Writing (62 papers), Topic Modeling (34 papers) and Mental Health Research Topics (27 papers). Lyle Ungar is often cited by papers focused on Mental Health via Writing (62 papers), Topic Modeling (34 papers) and Mental Health Research Topics (27 papers). Lyle Ungar collaborates with scholars based in United States, United Kingdom and Australia. Lyle Ungar's co-authors include Johannes C. Eichstaedt, Dimitris C. Psichogios, H. Andrew Schwartz, Margaret L. Kern, Andrew I. Schein, Dean P. Foster, Alexandrin Popescul, Martin E. P. Seligman, Michał Kosiński and David Stillwell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Personality and Social Psychology.

In The Last Decade

Co-authorship network of co-authors of Lyle Ungar i

Fields of papers citing papers by Lyle Ungar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lyle Ungar

Since Specialization
Citations

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