Esther Duflo Google Scholar: h-index, Total Citations, and Citation Map
Esther Duflo's h-index is 20 (20 i10-index, 126,748+ total citations across 20+ publications) according to Google Scholar as of October 2026. Esther Duflo is affiliated with Abdul Latif Jameel Poverty Action Lab.
Esther Duflo is a researcher affiliated with Abdul Latif Jameel Poverty Action Lab, specializing in various fields. Their work has been cited 126,748 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Esther Duflo's Citation Metrics
Bibliometric impact based on 20 indexed publications.
- H-Index
- 20
- i10-Index
- 20
- Total Citations
- 126,748
- Citing Countries
- 49
As of October 2026.
Esther Duflo has an h-index of 20 and 126,748 total citations across 20 publications, with research cited by institutions in 49 countries.
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How Much Should We Trust Differences-In-Differences Estimates?
200410,364
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
12 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established a critical framework for assessing the validity of differences-in-differences estimates, addressing fundamental concerns about trust in this widely used econometric method.
The researcher provided seminal causal evidence on how school construction policies affect labor market outcomes, establishing a foundational framework for evaluating educational infrastructure interventions.
The researcher established a foundational empirical framework for analyzing the impact of female political representation through a seminal randomized policy experiment in India.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Esther Duflo's research
Esther Duflo is a researcher at Abdul Latif Jameel Poverty Action Lab. Their work has been cited 126,748 times across 20 publications (h-index 20), according to Google Scholar.
Their most-cited work, “How Much Should We Trust Differences-In-Differences Estimates?” (2004), has accumulated 10,364 citations. Other influential works include “Women Empowerment and Economic Development” (2012) with 2,735 citations and “Double/debiased machine learning for treatment and structural parameters” (2017) with 2,199 citations.
Citations of Esther Duflo's research come primarily from United States, China and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
