Oliver Hauser

3.3k citations
53 papers · 1.7k · 3 hit papers · h-index 21

Impact in

Papers in

Oliver Hauser

49 papers receiving 1.6k citations

Hit Papers

Generative AI enhances individual creativity but reduces the collective diversity of novel content 2024 · 154 citations
1540+4+8Years since publication50100150200

Peers

Oliver Hauser
Comparison fields: 5 of 123
  • Safety Research 446
  • General Decision Sciences 64
  • Sociology and Political Science 741
  • Health, Toxicology and Mutagenesis 207
  • Experimental and Cognitive Psychology 192
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Citations per field
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Citations per year

Countries citing papers authored by Oliver Hauser

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Hauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Oliver Hauser, 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 Oliver Hauser Line = papers co-authored together Oliver Hauser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cooperating with the future
Hit paper breakdown →
2014245
2 2020242
3
(Mis)perceptions of inequality
Hit paper breakdown →
2017193
4
Generative AI enhances individual creativity but reduces the collective diversity of novel content
Hit paper breakdown →
2024154
5 2019121
6 202251
7 201851
8 202250
9 201448
10 202348
11 202144
12 201638
13 202036
14 202236
15 201736
16 202032
17 201732
18 202228
19 200228
20 201922

About Oliver Hauser

Oliver Hauser is a scholar working on Sociology and Political Science, Safety Research, Cognitive Neuroscience, Experimental and Cognitive Psychology and Economics and Econometrics, having authored 53 papers that have together received 1.7k indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (21 papers), Evolutionary Game Theory and Cooperation (11 papers), Psychology of Moral and Emotional Judgment (6 papers), Income, Poverty, and Inequality (6 papers), Evolutionary Psychology and Human Behavior (5 papers), Decision-Making and Behavioral Economics (5 papers), Social and Intergroup Psychology (4 papers) and Gender Diversity and Inequality (4 papers). The work is most often cited by research in Safety Research (446 citations), General Decision Sciences (64 citations), Sociology and Political Science (741 citations), Health, Toxicology and Mutagenesis (207 citations) and Experimental and Cognitive Psychology (192 citations). Oliver Hauser has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Martin A. Nowak, Michael I. Norton, Anil R. Doshi, David G. Rand, Alexander Peysakhovich, Christian Hilbe, Krishnendu Chatterjee, Jon Jachimowicz, Aaron Page and Francesca Gino. Their work appears in journals such as Scientific Reports, The Leadership Quarterly, Nature Communications, Nature and Nature Human Behaviour.

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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