Lyle Ungar

30.2k total citations · 10 hit papers
418 papers, 17.8k citations indexed

About

Lyle Ungar is a scholar working on Artificial Intelligence, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Lyle Ungar has authored 418 papers receiving a total of 17.8k indexed citations (citations by other indexed papers that have themselves been cited), including 169 papers in Artificial Intelligence, 84 papers in Social Psychology and 51 papers in Experimental and Cognitive Psychology. Recurrent topics in Lyle Ungar's work include Mental Health via Writing (71 papers), Topic Modeling (49 papers) and Mental Health Research Topics (32 papers). Lyle Ungar is often cited by papers focused on Mental Health via Writing (71 papers), Topic Modeling (49 papers) and Mental Health Research Topics (32 papers). Lyle Ungar collaborates with scholars based in United States, United Kingdom and Australia. Lyle Ungar's co-authors include Johannes C. Eichstaedt, H. Andrew Schwartz, Dimitris C. Psichogios, Andrew I. Schein, Alexandrin Popescul, Dean P. Foster, Margaret L. Kern, David M. Pennock, David C. Parkes and Michał Kosiński 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

Lyle Ungar

401 papers receiving 16.7k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach

2013 1.1k citations H. Andrew Schwartz, Johannes C. Eichstaedt et al. PLoS ONE profile →
Methods and metrics for cold-start recommendations

2002 1.1k citations Lyle Ungar et al. profile →
Efficient clustering of high-dimensional data sets with application to reference matching

2000 704 citations Lyle Ungar et al. profile →
A hybrid neural network‐first principles approach to process modeling

1992 674 citations Lyle Ungar et al. profile →
Automatic personality assessment through social media language.

2014 466 citations Gregory Park, H. Andrew Schwartz et al. profile →
Detecting depression and mental illness on social media: an integrative review

2017 394 citations Sharath Chandra Guntuku, David B. Yaden et al. profile →
Facebook language predicts depression in medical records

2018 376 citations Johannes C. Eichstaedt, Raina M. Merchant et al. Proceedings of the National Academy of Sciences profile →
Psychological Language on Twitter Predicts County-Level Heart Disease Mortality

2015 322 citations Johannes C. Eichstaedt, Hansen Andrew Schwartz et al. profile →
Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation

2024 110 citations Lyle Ungar, H. Andrew Schwartz et al. SHILAP Revista de lepidopterología profile →
Closed- and open-vocabulary approaches to text analysis: A review, quantitative comparison, and recommendations.

2021 82 citations Johannes C. Eichstaedt, Margaret L. Kern et al. Psychological Methods profile →

Peers

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).

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.

Co-authorship network of co-authors of Lyle Ungar

This figure shows the co-authorship network connecting the top 25 collaborators of Lyle Ungar. A scholar is included among the top collaborators of Lyle Ungar 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 Lyle Ungar. Lyle Ungar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Understanding gender and age differences in language use: cross-cultural insights from Weibo and Facebook 2025 ·Humanities and Social Sciences Communications ·(unknown), Sharath Chandra Guntuku, Garrick Sherman, Tingting Liu, (unknown), Young Min Cho, (unknown), Arnold B. Bakker, Lyle Ungar	0
2	Language-based Valence and Arousal Expressions between the United States and China: a Cross-Cultural Examination 2025 ·Young Min Cho, (unknown), Stuti Thapa, Garrick Sherman, Lyle Ungar, Louis Tay, Sharath Chandra Guntuku	1
3	The construction of emotional meaning in language 2025 ·Communications Psychology ·Katie Hoemann, (unknown), (unknown), (unknown), Lyle Ungar, Dirk Geeraerts, Batja Mesquita	0
4	Differential temporal utility of passively sensed smartphone features for depression and anxiety symptom prediction: a longitudinal cohort study 2024 ·SHILAP Revista de lepidopterología ·Caitlin A. Stamatis, Jonah Meyerhoff, (unknown), (unknown), Young Min Cho, Tony Liu, Chris Karr, Tingting Liu, Brenda Curtis, Lyle Ungar, David C. Mohr	19
5	Language-based EMA assessments help understand problematic alcohol consumption 2024 ·PLoS ONE ·(unknown), Hansen Andrew Schwartz, Richard N. Rosenthal, James R. McKay, (unknown), Youngmin Cho, (unknown), (unknown), Lyle Ungar	2
6	People judge others more harshly after talking to bots 2024 ·PNAS Nexus ·(unknown), Asaf Mazar, (unknown), Angela Duckworth, Lyle Ungar	3
7	Multilingual Language Models are not Multicultural: A Case Study in Emotion 2023 ·Shreya Havaldar, (unknown), (unknown), (unknown), Sharath Chandra Guntuku, Lyle Ungar	15
8	Comparing Styles across Languages 2023 ·Shreya Havaldar, (unknown), Eric Wong, Lyle Ungar	1
9	Predicting U.S. county opioid poisoning mortality from multi-modal social media and psychological self-report data 2023 ·Scientific Reports ·Salvatore Giorgi, David B. Yaden, Johannes C. Eichstaedt, Lyle Ungar, H. Andrew Schwartz, (unknown), Brenda Curtis	6
10	Getting “clean” from nonsuicidal self-injury: Experiences of addiction on the subreddit r/selfharm 2022 ·Journal of Behavioral Addictions ·(unknown), Salvatore Giorgi, (unknown), (unknown), (unknown), (unknown), (unknown), Amanda Devoto, Lyle Ungar, Brenda Curtis	23
11	Patient Experience and Satisfaction in Online Reviews of Obstetric Care: Observational Study 2022 ·JMIR Formative Research ·Emily Seltzer, Sharath Chandra Guntuku, (unknown), (unknown), Sindhu K. Srinivas, Elissa V. Klinger, David A. Asch, (unknown), Lyle Ungar, Raina M. Merchant	6
12	The emotional and mental health impact of the murder of George Floyd on the US population 2021 ·Proceedings of the National Academy of Sciences ·Johannes C. Eichstaedt, Garrick Sherman, Salvatore Giorgi, Steven O. Roberts, (unknown), Lyle Ungar, Sharath Chandra Guntuku	122
13	Closed- and open-vocabulary approaches to text analysis: A review, quantitative comparison, and recommendations. breakdown → 2021 ·Psychological Methods ·Johannes C. Eichstaedt, Margaret L. Kern, David B. Yaden, H. Andrew Schwartz, Salvatore Giorgi, Gregory Park, (unknown), Victoria A. Tobolsky, Laura Smith, Anneke Buffone, Jonathan Iwry, Martin E. P. Seligman, Lyle Ungar	82
14	Building more accurate decision trees with the additive tree 2019 ·Proceedings of the National Academy of Sciences ·José Marcio Luna, Efstathios D. Gennatas, Lyle Ungar, Eric Eaton, Eric S. Diffenderfer, Shane T. Jensen, Charles B. Simone, Jerome H. Friedman, Timothy D. Solberg, Gilmer Valdés	50
15	Opioid Discussion in the Twittersphere 2018 ·Substance Use & Misuse ·(unknown), (unknown), Zachary F. Meisel, (unknown), Lyle Ungar, Raina M. Merchant	25
16	EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks 2017 ·Muhammad Abdul-Mageed, Lyle Ungar	219
17	Confidence Calibration in a Multiyear Geopolitical Forecasting Competition 2016 ·Management Science ·Don A. Moore, Samuel A. Swift, (unknown), Barbara A. Mellers, Lyle Ungar, Philip E. Tetlock, (unknown), Elizabeth R. Tenney	48
18	PREDICTING INDIVIDUAL WELL-BEING THROUGH THE LANGUAGE OF SOCIAL MEDIA 2015 ·PubMed ·H. Andrew Schwartz, Maarten Sap, Margaret L. Kern, Johannes C. Eichstaedt, Adam Kapelner, Megha Agrawal, Eduardo Blanco, Lukasz Dziurzynski, Gregory Park, David Stillwell, Michał Kosiński, Martin E. P. Seligman, Lyle Ungar	95
19	Unsupervised Distance Metric Learning Using Predictability 2008 ·ScholarlyCommons (University of Pennsylvania) ·(unknown), Dean P. Foster, Lyle Ungar	1
20	The dependence of the shape and stability of captive rotating drops on multiple parameters 1982 ·Philosophical Transactions of the Royal Society of London Series A Mathematical and Physical Sciences ·Lyle Ungar, Robert A. Brown	48

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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