Leib Litman

5.3k total citations · 3 hit papers
33 papers, 3.3k citations indexed

About

Leib Litman is a scholar working on Computer Science Applications, Sociology and Political Science and Clinical Psychology. According to data from OpenAlex, Leib Litman has authored 33 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Science Applications, 9 papers in Sociology and Political Science and 6 papers in Clinical Psychology. Recurrent topics in Leib Litman's work include Mobile Crowdsensing and Crowdsourcing (10 papers), Ethics and Social Impacts of AI (4 papers) and Religion, Spirituality, and Psychology (3 papers). Leib Litman is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (10 papers), Ethics and Social Impacts of AI (4 papers) and Religion, Spirituality, and Psychology (3 papers). Leib Litman collaborates with scholars based in United States, Canada and Denmark. Leib Litman's 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 and has published in prestigious journals such as PLoS ONE, Trends in Cognitive Sciences and Journal of Medical Internet Research.

In The Last Decade

Leib Litman

33 papers receiving 3.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

TurkPrime.com: A versatile crowdsourcing data acquisition platform for the behavioral sciences

2016 1.5k citations Leib Litman, Jonathan Robinson et al. Behavior Research Methods profile →
Online panels in social science research: Expanding sampling methods beyond Mechanical Turk

2019 427 citations Jesse Chandler, Cheskie Rosenzweig et al. Behavior Research Methods profile →
Evaluating CloudResearch’s Approved Group as a solution for problematic data quality on MTurk

2022 107 citations David Hauser, Aaron J. Moss et al. Behavior Research Methods profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Leib Litman United States	19	1.3k	758	680	570	354	33	3.3k
Jonathan Robinson United States	12	1.2k 0.9×	707 0.9×	559 0.8×	484 0.8×	328 0.9×	15	2.8k
Stefan Pfattheicher Germany	27	963 0.8×	722 1.0×	632 0.9×	741 1.3×	385 1.1×	75	2.4k
Heather M. Gray United States	19	1.0k 0.8×	1.4k 1.8×	1.3k 1.9×	863 1.5×	494 1.4×	51	3.7k
David Hauser United States	16	950 0.7×	675 0.9×	361 0.5×	325 0.6×	513 1.4×	43	2.5k
A. T. Panter United States	33	934 0.7×	1.3k 1.7×	479 0.7×	928 1.6×	570 1.6×	121	4.2k
Rainer Greifeneder Switzerland	25	936 0.7×	1.0k 1.3×	456 0.7×	378 0.7×	287 0.8×	89	2.7k
Dana R. Carney United States	23	2.0k 1.6×	1.4k 1.8×	679 1.0×	650 1.1×	683 1.9×	48	4.1k
Arne Roets Belgium	33	2.1k 1.7×	1.4k 1.9×	818 1.2×	337 0.6×	308 0.9×	111	3.7k
Pam Mueller United States	8	719 0.6×	445 0.6×	343 0.5×	558 1.0×	440 1.2×	17	2.5k
Markus Bräuer United States	34	2.3k 1.8×	1.9k 2.5×	970 1.4×	494 0.9×	708 2.0×	104	5.0k

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-authorship network of co-authors of Leib Litman

This figure shows the co-authorship network connecting the top 25 collaborators of Leib Litman. A scholar is included among the top collaborators of Leib Litman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leib Litman. Leib Litman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Moss, Aaron J., David Hauser, Cheskie Rosenzweig, et al.. (2023). Using Market-Research Panels for Behavioral Science: An Overview and Tutorial. Advances in Methods and Practices in Psychological Science. 6(2). 17 indexed citations

Moss, Aaron J., Cheskie Rosenzweig, Jonathan Robinson, Shalom Noach Jaffe, & Leib Litman. (2023). Is it ethical to use Mechanical Turk for behavioral research? Relevant data from a representative survey of MTurk participants and wages. Behavior Research Methods. 55(8). 4048–4067. 32 indexed citations

Wilkowski, Benjamin M., et al.. (2022). Assessing the efficacy of a participant-vetting procedure to improve data-quality on Amazon’s Mechanical Turk. Methodology. 18(2). 126–143. 10 indexed citations

Hartman, Rachel, Aaron J. Moss, Israel Rabinowitz, et al.. (2022). Do you know the Wooly Bully? Testing era-based knowledge to verify participant age online. Behavior Research Methods. 55(7). 3313–3325. 4 indexed citations

Hauser, David, Aaron J. Moss, Cheskie Rosenzweig, et al.. (2022). Evaluating CloudResearch’s Approved Group as a solution for problematic data quality on MTurk. Behavior Research Methods. 55(8). 3953–3964. 107 indexed citations breakdown →

Litman, Leib & Jonathan Robinson. (2021). Conducting Online Research on Amazon Mechanical Turk and Beyond. 119 indexed citations

Suthaharan, Praveen, Pantelis Leptourgos, Joshua Kenney, et al.. (2021). Paranoia and belief updating during the COVID-19 crisis. Nature Human Behaviour. 5(9). 1190–1202. 79 indexed citations

Moss, Aaron J., Cheskie Rosenzweig, Jonathan Robinson, & Leib Litman. (2020). Demographic Stability on Mechanical Turk Despite COVID-19. Trends in Cognitive Sciences. 24(9). 678–680. 65 indexed citations

Litman, Leib, et al.. (2020). The persistence of pay inequality: The gender pay gap in an anonymous online labor market. PLoS ONE. 15(2). e0229383–e0229383. 42 indexed citations

10.

Weinberger-Litman, Sarah L., Leib Litman, Zohn Rosen, David H. Rosmarin, & Cheskie Rosenzweig. (2020). A Look at the First Quarantined Community in the USA: Response of Religious Communal Organizations and Implications for Public Health During the COVID-19 Pandemic. Journal of Religion and Health. 59(5). 2269–2282. 50 indexed citations

11.

Robinson, Jonathan, Cheskie Rosenzweig, Aaron J. Moss, & Leib Litman. (2019). Tapped out or barely tapped? Recommendations for how to harness the vast and largely unused potential of the Mechanical Turk participant pool. PLoS ONE. 14(12). e0226394–e0226394. 139 indexed citations

12.

Chandler, Jesse, Cheskie Rosenzweig, Aaron J. Moss, Jonathan Robinson, & Leib Litman. (2019). Online panels in social science research: Expanding sampling methods beyond Mechanical Turk. Behavior Research Methods. 51(5). 2022–2038. 427 indexed citations breakdown →

13.

Litman, Leib, et al.. (2017). Both Intrinsic and Extrinsic Religious Orientation are Positively Associated with Attitudes Toward Cleanliness: Exploring Multiple Routes from Godliness to Cleanliness. Journal of Religion and Health. 58(1). 41–52. 8 indexed citations

14.

Litman, Leib, Monnica T. Williams, Zohn Rosen, Sarah L. Weinberger-Litman, & Jonathan Robinson. (2017). Racial Disparities in Cleanliness Attitudes Mediate Purchasing Attitudes Toward Cleaning Products: a Serial Mediation Model. Journal of Racial and Ethnic Health Disparities. 5(4). 838–846. 4 indexed citations

15.

Litman, Leib, et al.. (2016). TurkPrime.com: A versatile crowdsourcing data acquisition platform for the behavioral sciences. Behavior Research Methods. 49(2). 433–442. 1486 indexed citations breakdown →

16.

Spierer, David K., Zohn Rosen, Leib Litman, & Kenji Fujii. (2015). Validation of photoplethysmography as a method to detect heart rate during rest and exercise. Journal of Medical Engineering & Technology. 39(5). 264–271. 118 indexed citations

17.

Litman, Leib, et al.. (2015). Mobile Exercise Apps and Increased Leisure Time Exercise Activity: A Moderated Mediation Analysis of the Role of Self-Efficacy and Barriers. Journal of Medical Internet Research. 17(8). e195–e195. 76 indexed citations

18.

Avrahami, Ram, et al.. (2015). The Effect of Combined Ultrasound and Electric Field Stimulation on Wound Healing in Chronic Ulcerations.. PubMed. 27(7). 199–208. 14 indexed citations

19.

Litman, Leib, Jonathan Robinson, & Cheskie Rosenzweig. (2014). The relationship between motivation, monetary compensation, and data quality among US- and India-based workers on Mechanical Turk. Behavior Research Methods. 47(2). 519–528. 202 indexed citations

20.

Litman, Leib & Lila Davachi. (2008). Distributed learning enhances relational memory consolidation. Learning & Memory. 15(9). 711–716. 47 indexed citations

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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