Johannes C. Eichstaedt

90 papers receiving 5.3k citations

Hit Papers

Personality, Gender, and Age in the Language of Social Me...2013202620172021201320142017201820152505007501000

Peers

Johannes C. Eichstaedt
Comparison fields: 5 of 162
  • Social Psychology 2.2k
  • Artificial Intelligence 1.7k
  • Sociology and Political Science 1.4k
  • Experimental and Cognitive Psychology 1.0k
  • Clinical Psychology 1.0k
Replace H. Andrew Schwartz with:
H. Andrew Schwartz United States
Tingshao Zhu China
Munmun De Choudhury United States
Margaret L. Kern Australia
Yla Tausczik United States
Gabriele Paolacci Netherlands
Jesse Chandler United States
Jelte M. Wicherts Netherlands
Matthias R. Mehl United States
Gordon Pennycook Canada
Johannes C. Eichstaedt relative to H. Andrew Schwartz United States H. Andrew Schwartz's profile →
Citations per field
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H. Andrew Schwartz · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
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3 0
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5 0
6 1
7 1
8 8
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10 13
11 122
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Closed- and open-vocabulary approaches to text analysis: A review, quantitative comparison, and recommendations.breakdown →
82
13 12
14 18
15 23
16 150
17 139
18 95
19
Automatic personality assessment through social media language.breakdown →
466
20 48

About Johannes C. Eichstaedt

Johannes C. Eichstaedt is a scholar working on Applied Psychology, Health Informatics and Social Psychology, having authored 95 papers that have together received 5.6k indexed citations. Recurring topics across this work include Mental Health via Writing (35 papers), Mental Health Research Topics (19 papers) and Digital Mental Health Interventions (15 papers). The work is most often cited by research in Applied Psychology (964 citations), Social Psychology (2.2k citations) and Experimental and Cognitive Psychology (1.0k citations). Johannes C. Eichstaedt has collaborated with scholars based in United States, Australia and United Kingdom. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Personality and Social Psychology and Nature Communications.

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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