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.
Running experiments on Amazon Mechanical Turk
20103.1k citationsGabriele Paolacci, Jesse Chandler et al.Judgment and Decision Makingprofile →
Inside the Turk
20141.8k citationsGabriele Paolacci, Jesse ChandlerCurrent Directions in Psychological Scienceprofile →
Using Mechanical Turk to Study Clinical Populations
2013913 citationsDanielle N. Shapiro, Jesse Chandler et al.profile →
Conducting Clinical Research Using Crowdsourced Convenience Samples
2016835 citationsJesse Chandler, Danielle N. Shapiroprofile →
Nonnaïveté among Amazon Mechanical Turk workers: Consequences and solutions for behavioral researchers
2013717 citationsJesse Chandler, Pam Mueller et al.Behavior Research Methodsprofile →
Online panels in social science research: Expanding sampling methods beyond Mechanical Turk
2019427 citationsJesse Chandler, Cheskie Rosenzweig et al.Behavior Research Methodsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Jesse Chandler
Since
Specialization
Citations
This map shows the geographic impact of Jesse Chandler'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 Jesse Chandler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesse Chandler more than expected).
This network shows the impact of papers produced by Jesse Chandler. 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 Jesse Chandler. The network helps show where Jesse Chandler may publish in the future.
Co-authorship network of co-authors of Jesse Chandler
This figure shows the co-authorship network connecting the top 25 collaborators of Jesse Chandler.
A scholar is included among the top collaborators of Jesse Chandler 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 Jesse Chandler. Jesse Chandler is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Péer, Eyal, Gabriele Paolacci, Pam Mueller, Jesse Chandler, & Kate A. Ratliff. (2014). Non-Naïve Participants Can Reduce Effect Sizes. OSF Preprints (OSF Preprints).2 indexed citations
11.
Chandler, Jesse, Gabriele Paolacci, & Pam Mueller. (2014). Risks and Rewards of Crowdsourcing Marketplaces. SSRN Electronic Journal.2 indexed citations
12.
Chandler, Jesse, Pam Mueller, & Gabriele Paolacci. (2014). Nonnaïvete Among Amazon Mechanical Turk Workers: Consequences and Solutions for Behavioral Researchers. EUR Research Repository (Erasmus University Rotterdam).6 indexed citations
13.
Paolacci, Gabriele & Jesse Chandler. (2014). Inside the Turk. Current Directions in Psychological Science. 23(3). 184–188.1770 indexed citations breakdown →
Paolacci, Gabriele, Jesse Chandler, & Panagiotis G. Ipeirotis. (2010). Running experiments on Amazon Mechanical Turk. Judgment and Decision Making. 5(5). 411–419.1 indexed citations
19.
Paolacci, Gabriele, Jesse Chandler, & Panagiotis G. Ipeirotis. (2010). Running experiments on Amazon Mechanical Turk. Judgment and Decision Making. 5(5). 411–419.3051 indexed citations breakdown →
20.
Bushman, Brad J., Jesse Chandler, & L. Rowell Huesmann. (2009). Do violent media numb our consciences. Data Archiving and Networked Services (DANS). 237–251.2 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.