David Hauser

40 papers receiving 2.4k citations

Hit Papers

Evaluating CloudResearch’s Approved Group as a solution for problematic data quality on MTurk 2022 · 107 citations
10720152026201820224008001.2k

Peers

David Hauser
Comparison fields: 5 of 156
  • Applied Psychology 294
  • General Decision Sciences 87
  • Experimental and Cognitive Psychology 513
  • Social Psychology 675
  • Marketing 242
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Citations per year

Countries citing papers authored by David Hauser

Since Specialization
Citations

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

Fields of papers citing papers by David Hauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Attentive Turkers: MTurk participants perform better on online attention checks than do subject pool participants
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20151354
2
Are Manipulation Checks Necessary?
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2018312
3 2007188
4 2015119
5
Evaluating CloudResearch’s Approved Group as a solution for problematic data quality on MTurk
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2022107
6 2014106
7 201958
8 200840
9 200929
10 199624
11 201622
12 201319
13 200419
14 201718
15 202317
16 200715
17 20058
18 20158
19 20218
20 20117

About David Hauser

David Hauser is a scholar working on Ophthalmology, Applied Psychology, General Decision Sciences, Experimental and Cognitive Psychology and Computer Science Applications, having authored 43 papers that have together received 2.5k indexed citations. Recurring topics across this work include Language, Metaphor, and Cognition (10 papers), Social and Intergroup Psychology (7 papers), Retinal Diseases and Treatments (7 papers), Glaucoma and retinal disorders (5 papers), Psychology of Moral and Emotional Judgment (5 papers), Environmental Education and Sustainability (5 papers), Cultural Differences and Values (5 papers) and Media Influence and Health (5 papers). The work is most often cited by research in Applied Psychology (294 citations), General Decision Sciences (87 citations), Experimental and Cognitive Psychology (513 citations), Social Psychology (675 citations) and Marketing (242 citations). David Hauser has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Norbert Schwarz, Phoebe C. Ellsworth, Richard Gonzalez, Brian P. Meier, Michael D. Robinson, Chris Kelland Friesen, Aaron J. Moss, Shalom Noach Jaffe, Cheskie Rosenzweig and Leib Litman. Their work appears in journals such as Frontiers in Psychology, Personality and Social Psychology Bulletin, Behavior Research Methods, Journal of Experimental Psychology General and Social Cognition.

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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