Philipp Schoenegger

14 papers receiving 96 citations

Philipp Schoenegger's Hit Papers

Diminished diversity-of-thought in a standard large language model 2024 · 40 citations
400+1Years since publication10203040

Peers

Philipp Schoenegger
Comparison fields: 5 of 48
  • General Decision Sciences 7
  • Health Informatics 4
  • General Social Sciences 7
  • Applied Psychology 6
  • Artificial Intelligence 32
Replace Michael Geers with:
Michael Geers Germany
Tatiana Celadin Italy
Benjamin A. Levinstein United States
Despoina Alempaki United Kingdom
Tei Laine United States
Steven A. Lehr United States
Ritsaart Reimann Australia
Brendan Spillane Ireland
Monica Gamez-Djokic United States
Sangsuk Yoon United States
Philipp Schoenegger relative to Michael Geers Germany Michael Geers's profile →
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Citations per year

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-authors

The 9 scholars most cited alongside Philipp Schoenegger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Philipp Schoenegger Line = papers co-authored together Philipp Schoenegger links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Diminished diversity-of-thought in a standard large language model
Hit paper breakdown →
202440
2 202416
3 202410
4 20248
5 20257
6 20234
7 20214
8 20222
9 20232
10 20242
11 20231
12 20211
13 20221
14 20241
15 20230

About Philipp Schoenegger

Philipp Schoenegger is a scholar working on Sociology and Political Science, Safety Research, General Decision Sciences, Cognitive Neuroscience and Applied Psychology, having authored 15 papers that have together received 99 indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (4 papers), Decision-Making and Behavioral Economics (4 papers), Psychology of Moral and Emotional Judgment (3 papers), Epistemology, Ethics, and Metaphysics (2 papers), Optimism, Hope, and Well-being (2 papers), Forecasting Techniques and Applications (2 papers), Nonprofit Sector and Volunteering (2 papers) and Philosophy and History of Science (2 papers). The work is most often cited by research in General Decision Sciences (7 citations), Health Informatics (4 citations), General Social Sciences (7 citations), Applied Psychology (6 citations) and Artificial Intelligence (32 citations). Philipp Schoenegger has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Peter S. Park, Philip E. Tetlock, Kian Mintz‐Woo, Sean Trott, Miguel A. Costa‐Gomes, Ezra Karger, Lucius Caviola, Steven Verheyen and Maximilian Maier. Their work appears in journals such as Studies in History and Philosophy of Science Part A, PLoS ONE, Journal of Development Economics, Science Advances and Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie).

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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