Philipp Schoenegger

531 total citations · 1 hit paper
15 papers, 81 citations indexed

About

Philipp Schoenegger is a scholar working on Sociology and Political Science, Safety Research and General Decision Sciences. According to data from OpenAlex, Philipp Schoenegger has authored 15 papers receiving a total of 81 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Sociology and Political Science, 4 papers in Safety Research and 4 papers in General Decision Sciences. Recurrent topics in Philipp Schoenegger's work include Experimental Behavioral Economics Studies (4 papers), Decision-Making and Behavioral Economics (4 papers) and Psychology of Moral and Emotional Judgment (3 papers). Philipp Schoenegger is often cited by papers focused on Experimental Behavioral Economics Studies (4 papers), Decision-Making and Behavioral Economics (4 papers) and Psychology of Moral and Emotional Judgment (3 papers). Philipp Schoenegger collaborates with scholars based in United Kingdom, United States and Austria. Philipp Schoenegger's co-authors include Peter S. Park, Philip E. Tetlock, Kian Mintz‐Woo, Miguel A. Costa‐Gomes, Steven Verheyen, Sean Trott, Ezra Karger, Maximilian Maier and Lucius Caviola and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Science Advances.

In The Last Decade

Philipp Schoenegger

14 papers receiving 78 citations

Hit Papers

Diminished diversity-of-thought in a standard large langu... 2024 2026 2025 2024 10 20 30
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.

  1. Diminished diversity-of-thought in a standard large language model
    2024 35 citations Peter S. Park, Philipp Schoenegger et al. Behavior Research Methods profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philipp Schoenegger United Kingdom 5 30 23 7 7 7 15 81
Tei Laine United States 6 13 0.4× 14 0.6× 5 0.7× 17 2.4× 23 3.3× 10 88
Matthew S. Nurse Australia 2 15 0.5× 55 2.4× 2 0.3× 11 1.6× 5 0.7× 2 70
Mark Klamberg Sweden 6 8 0.3× 26 1.1× 4 0.6× 7 1.0× 22 3.1× 30 95
Mark Denbeaux United States 5 11 0.4× 52 2.3× 15 2.1× 1 0.1× 4 0.6× 31 116
Oliver R. Scholz Germany 6 10 0.3× 15 0.7× 7 1.0× 14 2.0× 2 0.3× 23 123
Rui Sousa‐Silva Portugal 5 55 1.8× 39 1.7× 14 2.0× 3 0.4× 10 1.4× 16 105
Tim O’Keefe United States 7 52 1.7× 17 0.7× 9 1.3× 8 1.1× 27 145
Tatiana Celadin Italy 5 7 0.2× 56 2.4× 7 1.0× 15 2.1× 24 3.4× 8 69
Thomas Kron Germany 7 5 0.2× 81 3.5× 6 0.9× 6 0.9× 6 0.9× 37 116
Steven A. Lehr United States 3 9 0.3× 15 0.7× 9 1.3× 4 0.6× 5 0.7× 3 44

Countries citing papers authored by Philipp Schoenegger

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Schoenegger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Schoenegger

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

All Works

15 of 15 papers shown
1.
Schoenegger, Philipp, et al.. (2025). AI can outperform humans in predicting correlations between personality items. Communications Psychology. 3(1). 23–23. 2 indexed citations
2.
Schoenegger, Philipp & Kian Mintz‐Woo. (2024). Moral hazards and solar radiation management: Evidence from a large-scale online experiment. Journal of Environmental Psychology. 95. 102288–102288. 7 indexed citations
3.
Schoenegger, Philipp, Peter S. Park, Ezra Karger, Sean Trott, & Philip E. Tetlock. (2024). AI-Augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy. ACM Transactions on Interactive Intelligent Systems. 15(1). 1–25. 6 indexed citations
4.
Schoenegger, Philipp, et al.. (2024). Wisdom of the silicon crowd: LLM ensemble prediction capabilities rival human crowd accuracy. Science Advances. 10(45). eadp1528–eadp1528. 13 indexed citations
5.
Schoenegger, Philipp, et al.. (2024). Scientific realism, scientific practice, and science communication: An empirical investigation of academics and science communicators. Studies in History and Philosophy of Science Part A. 105. 85–98. 1 indexed citations
6.
Park, Peter S., et al.. (2024). Diminished diversity-of-thought in a standard large language model. Behavior Research Methods. 56(6). 5754–5770. 35 indexed citations breakdown →
7.
Schoenegger, Philipp, et al.. (2024). Forecasting Long-Run Causal Effects. SSRN Electronic Journal. 2 indexed citations
8.
Costa‐Gomes, Miguel A. & Philipp Schoenegger. (2023). Charitable Giving under Normative Uncertainty: Experimental Evidence on The Behavioral Impact of Normative Expert Advice. SSRN Electronic Journal. 2 indexed citations
9.
Schoenegger, Philipp, et al.. (2023). Introduction and Validation of the Short Antinatalism Scale (S-ANS). SHILAP Revista de lepidopterología. 4(1). 28–40.
10.
Schoenegger, Philipp, et al.. (2023). Social sciences in crisis: on the proposed elimination of the discussion section. Synthese. 202(2). 1 indexed citations
11.
Schoenegger, Philipp, et al.. (2023). Demanding the morally demanding: Experimental evidence on the effects of moral arguments and moral demandingness on charitable giving. Journal of Behavioral and Experimental Economics. 103. 101988–101988. 4 indexed citations
12.
Schoenegger, Philipp & Miguel A. Costa‐Gomes. (2022). Sure-thing vs. probabilistic charitable giving: Experimental evidence on the role of individual differences in risky and ambiguous charitable decision-making. PLoS ONE. 17(9). e0273971–e0273971. 1 indexed citations
13.
Schoenegger, Philipp & Steven Verheyen. (2022). Taking a Closer Look at the Bayesian Truth Serum. Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie). 69(4). 226–239. 2 indexed citations
14.
Schoenegger, Philipp, et al.. (2021). On the Epistemological Similarities of Market Liberalism and Standpoint Theory. Episteme. 21(1). 166–186. 1 indexed citations
15.
Schoenegger, Philipp. (2021). Experimental Philosophy and the Incentivisation Challenge: a Proposed Application of the Bayesian Truth Serum. Review of Philosophy and Psychology. 14(1). 295–320. 4 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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