David Hauser

29 papers receiving 2.7k citations

David Hauser's Hit Papers

Evaluating CloudResearch’s Approved Group as a solution for problematic data quality on MTurk 2022 · 155 citations
1550+3+7Years since publication4008001.2k

Peers

David Hauser
Comparison fields: 5 of 131
  • General Decision Sciences 141
  • Computer Science Applications 180
  • Experimental and Cognitive Psychology 421
  • Marketing 165
  • Social Psychology 320
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Sonam Samat United States
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Zeynep Cemalcılar Türkiye
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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 34 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
Hit paper breakdown →
20151407
2
Are Manipulation Checks Necessary?
Hit paper breakdown →
2018339
3 2007202
4
Evaluating CloudResearch’s Approved Group as a solution for problematic data quality on MTurk
Hit paper breakdown →
2022155
5 2014147
6 2019144
7 2015128
8 201974
9 200934
10 202326
11 201625
12 201723
13 201322
14 202111
15 201510
16 20178
17 20196
18 20236
19 20175
20 20215

About David Hauser

David Hauser is a scholar working on Experimental and Cognitive Psychology, General Decision Sciences, Computer Science Applications, Sociology and Political Science and Management, Monitoring, Policy and Law, having authored 34 papers that have together received 2.8k indexed citations. Recurring topics across this work include Language, Metaphor, and Cognition (10 papers), Decision-Making and Behavioral Economics (7 papers), Mobile Crowdsensing and Crowdsourcing (5 papers), Social and Intergroup Psychology (4 papers), Survey Methodology and Nonresponse (3 papers), Embodied and Extended Cognition (3 papers), Environmental Education and Sustainability (3 papers) and Categorization, perception, and language (3 papers). The work is most often cited by research in General Decision Sciences (141 citations), Computer Science Applications (180 citations), Experimental and Cognitive Psychology (421 citations), Marketing (165 citations) and Social Psychology (320 citations). David Hauser has collaborated with scholars based in United States, Canada and Bangladesh. Frequent co-authors include Norbert Schwarz, Phoebe C. Ellsworth, Richard Gonzalez, Brian P. Meier, Jesse Chandler, Gabriele Paolacci, Chris Kelland Friesen, Michael D. Robinson, Leib Litman and Shalom Noach Jaffe. Their work appears in journals such as Frontiers in Psychology, Behavior Research Methods, Journal of Experimental Psychology General, Social Cognition and Personality and Social Psychology Bulletin.

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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