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.
Powerful Women: Does Exposure Reduce Bias?*
2009705 citationsLori Beaman, Raghabendra Chattopadhyay et al.The Quarterly Journal of Economicsprofile →
Can Network Theory-Based Targeting Increase Technology Adoption?
2021140 citationsLori Beaman, Ariel BenYishay et al.American Economic Reviewprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Lori Beaman'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 Lori Beaman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lori Beaman more than expected).
This network shows the impact of papers produced by Lori Beaman. 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 Lori Beaman. The network helps show where Lori Beaman may publish in the future.
Co-authorship network of co-authors of Lori Beaman
This figure shows the co-authorship network connecting the top 25 collaborators of Lori Beaman.
A scholar is included among the top collaborators of Lori Beaman 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 Lori Beaman. Lori Beaman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Beaman, Lori, Dean Karlan, & Bram Thuysbaert. (2014). Saving for a (not so) Rainy Day: A Randomized Evaluation of Savings Groups in Mali (WP-14-15).3 indexed citations
Beaman, Lori & Andrew Dillon. (2011). 1 Do Household Definitions Matter in Survey Design? Results from a Randomized Survey Experiment in Mali. RePEc: Research Papers in Economics.1 indexed citations
15.
Beaman, Lori, et al.. (2011). The Role of Culture in Agricultural Technology Diffusion in Ghana.7 indexed citations
16.
Beaman, Lori, Esther Duflo, Rohini Pande, & Petia Topalova. (2011). Political Reservation and Substantive Representation: Evidence from Indian Village Councils. RePEc: Research Papers in Economics. 7(1). 159–191.64 indexed citations
Beaman, Lori. (2009). Can political affirmative action for women reduce gender bias.1 indexed citations
20.
Beaman, Lori, Raghabendra Chattopadhyay, Esther Duflo, Rohini Pande, & Petia Topalova. (2009). Powerful Women: Does Exposure Reduce Bias?*. The Quarterly Journal of Economics. 124(4). 1497–1540.705 indexed citations breakdown →
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.