Leib Litman

34 papers receiving 3.3k citations

Leib Litman's Hit Papers

Evaluating CloudResearch’s Approved Group as a solution for problematic data quality on MTurk 2022 · 123 citations
1230+3+6Years since publication50010001.5k

Peers

Leib Litman
Comparison fields: 5 of 159
  • Applied Psychology 308
  • General Decision Sciences 111
  • Social Psychology 731
  • Cognitive Neuroscience 664
  • Computer Science Applications 186
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Jonathan Robinson United States
David Hauser United States
Anja S. Göritz Germany
Pascal Huguet France
Friedrich W. Hesse Germany
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Citations per year

Countries citing papers authored by Leib Litman

Since Specialization
Citations

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

Fields of papers citing papers by Leib Litman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
TurkPrime.com: A versatile crowdsourcing data acquisition platform for the behavioral sciences
Hit paper breakdown →
20161514
2
Online panels in social science research: Expanding sampling methods beyond Mechanical Turk
Hit paper breakdown →
2019452
3 2014211
4 2019144
5 2021126
6
Evaluating CloudResearch’s Approved Group as a solution for problematic data quality on MTurk
Hit paper breakdown →
2022123
7 2015119
8 202181
9 201580
10 200879
11 202065
12 202053
13 200847
14 202042
15 202140
16 202334
17 201527
18 202225
19
Implicit cognition and thought
200520
20 202319

About Leib Litman

Leib Litman is a scholar working on Computer Science Applications, Sociology and Political Science, Clinical Psychology, Social Psychology and Health, having authored 35 papers that have together received 3.4k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (10 papers), Ethics and Social Impacts of AI (4 papers), Misinformation and Its Impacts (3 papers), Religion, Spirituality, and Psychology (3 papers), COVID-19 epidemiological studies (2 papers), Digital Economy and Work Transformation (2 papers), COVID-19 and Mental Health (2 papers) and Psychology of Moral and Emotional Judgment (2 papers). The work is most often cited by research in Applied Psychology (308 citations), General Decision Sciences (111 citations), Social Psychology (731 citations), Cognitive Neuroscience (664 citations) and Computer Science Applications (186 citations). Leib Litman has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Jonathan Robinson, Cheskie Rosenzweig, Aaron J. Moss, Jesse Chandler, Zohn Rosen, Lila Davachi, David K. Spierer, Sarah L. Weinberger-Litman, Kenji Fujii and Shalom Noach Jaffe. Their work appears in journals such as Behavior Research Methods, Journal of Religion and Health, PLoS ONE, Journal of Traumatic Stress and Journal of Medical Internet Research.

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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