Johannes C. Eichstaedt

9.9k total citations · 7 hit papers
95 papers, 5.6k citations indexed

About

Johannes C. Eichstaedt is a scholar working on Social Psychology, Experimental and Cognitive Psychology and Sociology and Political Science. According to data from OpenAlex, Johannes C. Eichstaedt has authored 95 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Social Psychology, 25 papers in Experimental and Cognitive Psychology and 20 papers in Sociology and Political Science. Recurrent topics in Johannes C. Eichstaedt's work include Mental Health via Writing (35 papers), Mental Health Research Topics (19 papers) and Digital Mental Health Interventions (15 papers). Johannes C. Eichstaedt is often cited by papers focused on Mental Health via Writing (35 papers), Mental Health Research Topics (19 papers) and Digital Mental Health Interventions (15 papers). Johannes C. Eichstaedt collaborates with scholars based in United States, Australia and United Kingdom. Johannes C. Eichstaedt's co-authors include Lyle Ungar, Margaret L. Kern, H. Andrew Schwartz, Michał Kosiński, David Stillwell, Martin E. P. Seligman, Gregory Park, David B. Yaden, Lukasz Dziurzynski and Megha Agrawal and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Personality and Social Psychology and Nature Communications.

In The Last Decade

Johannes C. Eichstaedt

90 papers receiving 5.3k citations

Hit Papers

align trajectories sort by overperformance

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 →
Automatic personality assessment through social media language.

2014 466 citations Gregory Park, H. Andrew Schwartz et al. Journal of Personality and Social Psychology 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, Robert J. Smith 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 Elizabeth Cameron Stade, Shannon Wiltsey Stirman et al. 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. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Johannes C. Eichstaedt United States	31	2.2k	1.7k	1.4k	1.0k	1.0k	95	5.6k
H. Andrew Schwartz United States	34	2.0k 0.9×	1.6k 0.9×	1.4k 1.0×	938 0.9×	930 0.9×	97	5.3k
Tingshao Zhu China	30	1.4k 0.6×	733 0.4×	1.2k 0.8×	710 0.7×	1.7k 1.6×	159	4.3k
Matthias R. Mehl United States	44	3.6k 1.6×	1.5k 0.9×	2.6k 1.8×	2.1k 2.0×	2.7k 2.6×	145	9.5k
Gabriele Paolacci Netherlands	15	1.4k 0.6×	544 0.3×	2.9k 2.0×	798 0.8×	866 0.8×	34	7.2k
Jesse Chandler United States	20	1.9k 0.9×	571 0.3×	3.4k 2.3×	1.3k 1.2×	1.8k 1.7×	37	9.1k
Munmun De Choudhury United States	52	3.6k 1.6×	2.5k 1.4×	2.7k 1.9×	1.3k 1.3×	1.2k 1.2×	206	8.7k
Richard F. West United States	46	1.4k 0.6×	1.4k 0.8×	1.8k 1.2×	2.1k 2.1×	863 0.8×	80	12.7k
Yla Tausczik United States	13	1.5k 0.7×	1.5k 0.9×	1.5k 1.0×	464 0.4×	544 0.5×	26	4.5k
Lance J. Rips United States	35	1.4k 0.6×	2.1k 1.2×	2.1k 1.4×	2.1k 2.0×	378 0.4×	95	10.4k
Samuel Greiff Luxembourg	43	1.4k 0.6×	1.1k 0.7×	663 0.5×	1.9k 1.8×	736 0.7×	289	6.7k

Countries citing papers authored by Johannes C. Eichstaedt

Since Specialization

Citations

This map shows the geographic impact of Johannes C. Eichstaedt'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 Johannes C. Eichstaedt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johannes C. Eichstaedt more than expected).

Fields of papers citing papers by Johannes C. Eichstaedt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johannes C. Eichstaedt. 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 Johannes C. Eichstaedt. The network helps show where Johannes C. Eichstaedt may publish in the future.

Co-authorship network of co-authors of Johannes C. Eichstaedt

This figure shows the co-authorship network connecting the top 25 collaborators of Johannes C. Eichstaedt. A scholar is included among the top collaborators of Johannes C. Eichstaedt 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 Johannes C. Eichstaedt. Johannes C. Eichstaedt 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

1.

Vu, Huy Quan, et al.. (2026). PsychAdapter: adapting LLMs to reflect traits, personality, and mental health. PubMed. 2(1). 26–26.

2.

Lyubomirsky, Sonja, et al.. (2025). Structured AI Dialogues Can Increase Happiness and Meaning in Life. 1 indexed citations

3.

Eichstaedt, Johannes C., et al.. (2025). A computational model of reward learning and habits on social media.

4.

Stade, Elizabeth Cameron, et al.. (2025). TherapyTrainer: Using AI to Train Therapists in Written Exposure Therapy. Cognitive and Behavioral Practice.

5.

Stade, Elizabeth Cameron, Johannes C. Eichstaedt, Jane Kim, & Shannon Wiltsey Stirman. (2025). Readiness Evaluation for AI-Mental Health Deployment and Implementation (READI): A review and proposed framework. 2 indexed citations

6.

Ireland, Molly, et al.. (2024). Large language models display human-like social desirability biases in Big Five personality surveys. PNAS Nexus. 3(12). pgae533–pgae533. 8 indexed citations

7.

Eichstaedt, Johannes C., et al.. (2024). Robust language-based mental health assessments in time and space through social media. npj Digital Medicine. 7(1). 109–109. 4 indexed citations

8.

Stade, Elizabeth Cameron, Johannes C. Eichstaedt, Jane Kim, & Shannon Wiltsey Stirman. (2024). Readiness Evaluation for AI-Mental Health Deployment and Implementation (READI): A review and proposed framework. PsyArXiv (OSF Preprints).

9.

Eichstaedt, Johannes C., et al.. (2024). Nature, Buildings, and Humans: Residents’ Perceptions of Well-Being in Permanent Supportive Housing. Environment and Behavior. 56(7-8). 577–613. 1 indexed citations

10.

Stade, Elizabeth Cameron, Johannes C. Eichstaedt, Jane Kim, & Shannon Wiltsey Stirman. (2024). Readiness Evaluation for AI-Mental Health Deployment and Implementation (READI): A review and proposed framework. 1 indexed citations

11.

Stade, Elizabeth Cameron, Lyle Ungar, Johannes C. Eichstaedt, Garrick Sherman, & Ayelet Meron Ruscio. (2023). Depression and anxiety have distinct and overlapping language patterns: Results from a clinical interview.. Journal of Psychopathology and Clinical Science. 132(8). 972–983. 13 indexed citations

12.

Eichstaedt, Johannes C., et al.. (2023). Comparison of wellbeing structures based on survey responses and social media language: A network analysis. Applied Psychology Health and Well-Being. 15(4). 1555–1582. 2 indexed citations

13.

Giorgi, Salvatore, Khoa D. Le Nguyen, Johannes C. Eichstaedt, et al.. (2021). Regional personality assessment through social media language. Journal of Personality. 90(3). 405–425. 18 indexed citations

14.

Ahmed, Saifuddin, Jaeho Cho, Kokil Jaidka, Johannes C. Eichstaedt, & Lyle Ungar. (2020). The Internet and Participation Inequality: A Multilevel Examination of 108 Countries. International journal of communication. 14. 22. 6 indexed citations

15.

Jaidka, Kokil, Salvatore Giorgi, H. Andrew Schwartz, et al.. (2020). Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods. Proceedings of the National Academy of Sciences. 117(19). 10165–10171. 150 indexed citations

16.

Merchant, Raina M., David A. Asch, Patrick Crutchley, et al.. (2019). Evaluating the predictability of medical conditions from social media posts. PLoS ONE. 14(6). e0215476–e0215476. 67 indexed citations

17.

Giorgi, Salvatore, Kokil Jaidka, & Johannes C. Eichstaedt. (2019). Data and Resources for Estimating geographic subjective well-being from Twitter: a comparison of dictionary and data-driven language methods. OSF Preprints (OSF Preprints). 1 indexed citations

18.

Park, Gregory, H. Andrew Schwartz, Johannes C. Eichstaedt, et al.. (2014). Automatic personality assessment through social media language.. Journal of Personality and Social Psychology. 108(6). 934–952. 466 indexed citations breakdown →

19.

Kern, Margaret L., Johannes C. Eichstaedt, H. Andrew Schwartz, et al.. (2013). From “Sooo excited!!!” to “So proud”: Using language to study development.. Developmental Psychology. 50(1). 178–188. 48 indexed citations

20.

Schwartz, Hansen Andrew, Johannes C. Eichstaedt, Eduardo Blanco, et al.. (2013). Choosing the Right Words: Characterizing and Reducing Error of the Word Count Approach. Joint Conference on Lexical and Computational Semantics. 1. 296–305. 16 indexed citations

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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