Sandra Matz

5.3k total citations · 5 hit papers
56 papers, 2.9k citations indexed

About

Sandra Matz is a scholar working on Sociology and Political Science, Clinical Psychology and Applied Psychology. According to data from OpenAlex, Sandra Matz has authored 56 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Sociology and Political Science, 17 papers in Clinical Psychology and 16 papers in Applied Psychology. Recurrent topics in Sandra Matz's work include Behavioral Health and Interventions (11 papers), Personality Traits and Psychology (11 papers) and Mental Health Research Topics (8 papers). Sandra Matz is often cited by papers focused on Behavioral Health and Interventions (11 papers), Personality Traits and Psychology (11 papers) and Mental Health Research Topics (8 papers). Sandra Matz collaborates with scholars based in United States, United Kingdom and Germany. Sandra Matz's co-authors include David Stillwell, Michał Kosiński, Gideon Nave, Samuel D. Gosling, Kai Ruggeri, Áine Maguire, Eduardo García‐Garzón, Felicia A. Huppert, Joe J. Gladstone and Gabriella M. Harari 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

Sandra Matz

55 papers receiving 2.7k citations

Hit Papers

Facebook as a research tool for the social sciences: Oppo... 2015 2026 2018 2022 2015 2017 2020 2024 2024 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandra Matz United States 23 1.0k 633 521 402 354 56 2.9k
Michael Scharkow Germany 23 1.9k 1.9× 818 1.3× 660 1.3× 324 0.8× 321 0.9× 61 4.0k
Tara S. Behrend United States 24 1.1k 1.0× 689 1.1× 415 0.8× 244 0.6× 230 0.6× 68 3.4k
Jonathan Robinson United States 12 1.2k 1.2× 707 1.1× 484 0.9× 328 0.8× 342 1.0× 15 2.8k
David Hauser United States 16 950 0.9× 675 1.1× 325 0.6× 513 1.3× 294 0.8× 43 2.5k
Anuj Shah United States 18 801 0.8× 650 1.0× 216 0.4× 225 0.6× 339 1.0× 48 3.2k
Rosanna E. Guadagno United States 30 2.0k 2.0× 885 1.4× 534 1.0× 566 1.4× 248 0.7× 82 3.6k
Eyal Peer Israel 13 1.9k 1.9× 983 1.6× 669 1.3× 441 1.1× 513 1.4× 26 4.6k
Stefan Palan Austria 11 742 0.7× 444 0.7× 294 0.6× 272 0.7× 220 0.6× 42 2.8k
S. Bartholomew Craig United States 12 992 1.0× 982 1.6× 739 1.4× 424 1.1× 478 1.4× 23 3.4k
Christian Schitter Austria 3 715 0.7× 439 0.7× 292 0.6× 266 0.7× 213 0.6× 4 2.2k

Countries citing papers authored by Sandra Matz

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Matz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandra Matz

This figure shows the co-authorship network connecting the top 25 collaborators of Sandra Matz. A scholar is included among the top collaborators of Sandra Matz 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 Sandra Matz. Sandra Matz 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
1.
Goethals, Sofie, et al.. (2025). The Impact of Cloaking Digital Footprints on User Privacy and Personalization. Big Data. 13(5). 345–363.
2.
Ward, George, H. Andrew Schwartz, Salvatore Giorgi, Jochen I. Menges, & Sandra Matz. (2024). The role of negative affect in shaping populist support: Converging field evidence from across the globe.. American Psychologist. 80(3). 323–344. 1 indexed citations
3.
Peters, Heinrich, et al.. (2024). Machine learning in recruiting: predicting personality from CVs and short text responses. 1. 3 indexed citations
4.
Peters, Heinrich, et al.. (2024). Social media use is predictable from app sequences: Using LSTM and transformer neural networks to model habitual behavior. Computers in Human Behavior. 161. 108381–108381. 2 indexed citations
5.
Matz, Sandra, et al.. (2024). The potential of generative AI for personalized persuasion at scale. Scientific Reports. 14(1). 4692–4692. 99 indexed citations breakdown →
6.
Peters, Heinrich, Sandra Matz, & Moran Cerf. (2023). Sensory substitution can improve decision-making. Computers in Human Behavior. 146. 107797–107797. 1 indexed citations
7.
8.
Cerf, Moran, Sandra Matz, & Malcolm A. MacIver. (2023). Participating in a climate futures market increases support for costly climate policies. Nature Climate Change. 13(6). 511–512. 1 indexed citations
9.
Müller, Sandrine R., et al.. (2023). The impact of the early stages of COVID-19 on mental health in the United States, Germany, and the United Kingdom.. Journal of Personality and Social Psychology. 124(3). 620–639. 10 indexed citations
10.
Peters, Heinrich, Friedrich M. Götz, Tobias Ebert, et al.. (2022). Regional personality differences predict variation in early COVID-19 infections and mobility patterns indicative of social distancing.. Journal of Personality and Social Psychology. 124(4). 848–872. 15 indexed citations
11.
Matz, Sandra, et al.. (2022). Personality similarity predicts synchronous neural responses in fMRI and EEG data. Scientific Reports. 12(1). 14325–14325. 9 indexed citations
12.
Müller, Sandrine R., et al.. (2021). Depression predictions from GPS-based mobility do not generalize well to large demographically heterogeneous samples. Scientific Reports. 11(1). 14007–14007. 36 indexed citations
13.
Matz, Sandra. (2021). Personal echo chambers: Openness-to-experience is linked to higher levels of psychological interest diversity in large-scale behavioral data.. Journal of Personality and Social Psychology. 121(6). 1284–1300. 31 indexed citations
14.
Ebert, Tobias, Friedrich M. Götz, Joe J. Gladstone, Sandrine R. Müller, & Sandra Matz. (2020). Spending reflects not only who we are but also who we are around: The joint effects of individual and geographic personality on consumption.. Journal of Personality and Social Psychology. 121(2). 378–393. 30 indexed citations
15.
Ruggeri, Kai, Eduardo García‐Garzón, Áine Maguire, Sandra Matz, & Felicia A. Huppert. (2020). Well-being is more than happiness and life satisfaction: a multidimensional analysis of 21 countries. Health and Quality of Life Outcomes. 18(1). 192–192. 434 indexed citations breakdown →
16.
Matz, Sandra & Michał Kosiński. (2019). Using Consumers’ Digital Footprints for More Persuasive Mass Communication. 11(2). 18–23. 3 indexed citations
17.
Kulkarni, Vivek, Margaret L. Kern, David Stillwell, et al.. (2018). Latent human traits in the language of social media: An open-vocabulary approach. PLoS ONE. 13(11). e0201703–e0201703. 29 indexed citations
18.
Matz, Sandra, Michał Kosiński, David Stillwell, & Gideon Nave. (2017). Psychological Framing As an Effective Approach to Real-Life Persuasive Communication. ACR North American Advances. 4 indexed citations
19.
Matz, Sandra, Joe J. Gladstone, & David Stillwell. (2016). Money Buys Happiness When Spending Fits Our Personality. Psychological Science. 27(5). 715–725. 96 indexed citations
20.
Kosiński, Michał, et al.. (2015). Facebook as a research tool for the social sciences: Opportunities, challenges, ethical considerations, and practical guidelines.. American Psychologist. 70(6). 543–556. 602 indexed citations breakdown →

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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