Lukasz Dziurzynski

2.9k total citations · 2 hit papers
8 papers, 1.7k citations indexed

About

Lukasz Dziurzynski is a scholar working on Social Psychology, Clinical Psychology and Artificial Intelligence. According to data from OpenAlex, Lukasz Dziurzynski has authored 8 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Social Psychology, 3 papers in Clinical Psychology and 3 papers in Artificial Intelligence. Recurrent topics in Lukasz Dziurzynski's work include Mental Health via Writing (3 papers), Personality Traits and Psychology (3 papers) and Authorship Attribution and Profiling (2 papers). Lukasz Dziurzynski is often cited by papers focused on Mental Health via Writing (3 papers), Personality Traits and Psychology (3 papers) and Authorship Attribution and Profiling (2 papers). Lukasz Dziurzynski collaborates with scholars based in United States, United Kingdom and Australia. Lukasz Dziurzynski's co-authors include Johannes C. Eichstaedt, Martin E. P. Seligman, Lyle Ungar, Margaret L. Kern, Megha Agrawal, David Stillwell, Michał Kosiński, H. Andrew Schwartz, Gregory Park and Maarten Sap and has published in prestigious journals such as PLoS ONE, Psychological Science and Developmental Psychology.

In The Last Decade

Lukasz Dziurzynski

8 papers receiving 1.6k citations

Hit Papers

Personality, Gender, and Age in the Language of Social Me... 2013 2026 2017 2021 2013 2015 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lukasz Dziurzynski United States 7 573 565 539 326 242 8 1.7k
Gregory Park United States 19 711 1.2× 864 1.5× 537 1.0× 322 1.0× 639 2.6× 20 2.3k
Koustuv Saha United States 23 349 0.6× 431 0.8× 452 0.8× 193 0.6× 215 0.9× 70 1.4k
Maarten Sap United States 25 1.9k 3.3× 705 1.2× 498 0.9× 147 0.5× 291 1.2× 70 2.9k
Ryan L. Boyd United States 22 337 0.6× 598 1.1× 586 1.1× 293 0.9× 229 0.9× 90 1.7k
Daniel M. Ogilvie United States 14 474 0.8× 795 1.4× 705 1.3× 351 1.1× 216 0.9× 20 2.0k
Munmun De Choudhury United States 21 474 0.8× 297 0.5× 710 1.3× 193 0.6× 58 0.2× 47 1.8k
Catalina L. Toma United States 22 272 0.5× 637 1.1× 1.5k 2.9× 691 2.1× 515 2.1× 44 2.5k
Natalya N. Bazarova United States 27 539 0.9× 898 1.6× 1.9k 3.5× 310 1.0× 125 0.5× 70 3.0k
Marjolijn L. Antheunis Netherlands 25 287 0.5× 465 0.8× 1.3k 2.5× 200 0.6× 133 0.5× 67 2.3k
Nazanin Andalibi United States 23 311 0.5× 545 1.0× 1.1k 2.0× 450 1.4× 121 0.5× 71 2.2k

Countries citing papers authored by Lukasz Dziurzynski

Since Specialization
Citations

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

Fields of papers citing papers by Lukasz Dziurzynski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lukasz Dziurzynski

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

All Works

8 of 8 papers shown
1.
Schwartz, Hansen Andrew, Johannes C. Eichstaedt, Margaret L. Kern, et al.. (2021). Characterizing Geographic Variation in Well-Being Using Tweets. Proceedings of the International AAAI Conference on Web and Social Media. 7(1). 583–591. 37 indexed citations
2.
Schwartz, H. Andrew, Maarten Sap, Margaret L. Kern, et al.. (2015). PREDICTING INDIVIDUAL WELL-BEING THROUGH THE LANGUAGE OF SOCIAL MEDIA. PubMed. 21. 516–527. 95 indexed citations
3.
Eichstaedt, Johannes C., Hansen Andrew Schwartz, Margaret L. Kern, et al.. (2015). Psychological Language on Twitter Predicts County-Level Heart Disease Mortality. Psychological Science. 26(2). 159–169. 322 indexed citations breakdown →
4.
Dziurzynski, Lukasz, et al.. (2014). Implementing Buy 'Til You Die Models. 2 indexed citations
5.
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
6.
Kern, Margaret L., Johannes C. Eichstaedt, H. Andrew Schwartz, et al.. (2013). The Online Social Self. Assessment. 21(2). 158–169. 95 indexed citations
7.
Schwartz, H. Andrew, Johannes C. Eichstaedt, Margaret L. Kern, et al.. (2013). Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach. PLoS ONE. 8(9). e73791–e73791. 1116 indexed citations breakdown →
8.
Schwartz, Hansen Andrew, Johannes C. Eichstaedt, Lukasz Dziurzynski, et al.. (2013). Toward Personality Insights from Language Exploration in Social Media. 25 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026