2026 Sendhil Mullainathan: Economics and Finance Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Economics and Finance	99	110	98	87	76	265	87398

Research.com Recognitions

2026 - Research.com Economics and Finance in United States Leader Award
2016 - Fellow of the American Academy of Arts and Sciences
2002 - Fellow of the MacArthur Foundation
2001 - Fellow of Alfred P. Sloan Foundation

Overview

Sendhil Mullainathan is affiliated with MIT in the United States. Their research spans multiple interdisciplinary fields, focusing principally on applications of artificial intelligence, economics, and social sciences.

The scientist's work covers several key subfields of study including:

Artificial Intelligence
Economics and Econometrics
Safety Research
Sociology and Political Science
General Decision Sciences

Main topics explored in their research incorporate:

Ethics and Social Impacts of AI
Explainable Artificial Intelligence (XAI)
Decision-Making and Behavioral Economics
Experimental Learning in Engineering
Artificial Intelligence in Healthcare and Education
Digital Marketing and Social Media
Computational and Text Analysis Methods

Sendhil Mullainathan's recent scholarly papers include:

"Integrating explanation and prediction in computational social science," 2021, published in Nature
"An algorithmic approach to reducing unexplained pain disparities in underserved populations," 2021, published in Nature Medicine
"Megastudies improve the impact of applied behavioural science," 2021, published in Nature
"A 680,000-person megastudy of nudges to encourage vaccination in pharmacies," 2022, published in Proceedings of the National Academy of Sciences
"Algorithms as discrimination detectors," 2020, published in Proceedings of the National Academy of Sciences

The scientist frequently collaborates with other researchers, with the most common co-authors being:

Jens Ludwig
Jon Kleinberg
Ashesh Rambachan
Ziad Obermeyer
Manish Raghavan

Authors regularly publish their work in several prominent venues, including:

SSRN Electronic Journal
arXiv (Cornell University)
Proceedings of the National Academy of Sciences
AEA Papers and Proceedings
Harvard Dataverse

Sendhil Mullainathan has been recognized with several fellowships throughout their career, notably:

Fellow of the American Academy of Arts and Sciences, 2016
Fellow of the MacArthur Foundation, 2002
Fellow of Alfred P. Sloan Foundation, 2001

Best Publications

How Much Should We Trust Differences-In-Differences Estimates?

Marianne Bertrand;Esther Duflo;Sendhil Mullainathan

14560
Citations
Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination

Marianne Bertrand;Sendhil Mullainathan

7200
Citations
Dissecting racial bias in an algorithm used to manage the health of populations

Ziad Obermeyer;Ziad Obermeyer;Brian Powers;Christine Vogeli;Sendhil Mullainathan

5293
Citations
Enjoying the Quiet Life? Corporate Governance and Managerial Preferences

Marianne Bertrand;Sendhil Mullainathan

4564
Citations
Enjoying the Quiet Life? Corporate Governance and Managerial Preferences

Marianne Bertrand;Sendhil Mullainathan

4561
Citations
Poverty impedes cognitive function

Anandi Mani;Sendhil Mullainathan;Eldar Shafir;Jiaying Zhao

3515
Citations
Are CEOs Rewarded for Luck? The Ones Without Principals Are

Marianne Bertrand;Sendhil Mullainathan

2492
Citations
Ferreting out Tunneling: An Application to Indian Business Groups

Marianne Bertrand;Paras Praful Mehta;Sendhil Mullainathan

2428
Citations
Machine Learning: An Applied Econometric Approach

Sendhil Mullainathan;Jann Spiess

2111
Citations
The Market for News

Sendhil Mullainathan;Andrei Shleifer

2023
Citations
Do People Mean What They Say? Implications for Subjective Survey Data

Marianne Bertrand;Sendhil Mullainathan

1999
Citations
Some Consequences of Having Too Little

Anuj K. Shah;Sendhil Mullainathan;Eldar Shafir

1878
Citations
Scarcity: Why Having Too Little Means So Much

Sendhil Mullainathan;Eldar Shafir

1622
Citations
Human Decisions and Machine Predictions

Jon Kleinberg;Himabindu Lakkaraju;Jure Leskovec;Jens Ludwig

1474
Citations
NETWORK EFFECTS AND WELFARE CULTURES

Marianne Bertrand;Erzo F.P. Luttmer;Sendhil Mullainathan

1391
Citations
Getting to the Top of Mind: How Reminders Increase Saving

Dean S. Karlan;Margaret McConnell;Sendhil Mullainathan;Jonathan Zinman

1297
Citations
Inherent Trade-Offs in the Fair Determination of Risk Scores

Jon M. Kleinberg;Sendhil Mullainathan;Manish Raghavan

1244
Citations
Behavior and Energy Policy

Hunt Allcott;Sendhil Mullainathan

1161
Citations
The Market for Financial Advice: An Audit Study

Sendhil Mullainathan;Markus Noeth;Antoinette Schoar

884
Citations
What's Advertising Content Worth? Evidence from a Consumer Credit Marketing Field Experiment

Marianne Bertrand;Dean S. Karlan;Sendhil Mullainathan;Eldar Shafir

864
Citations
A Behavioral-Economics View of Poverty

Marianne Bertrand;Sendhil Mullainathan;Eldar Shafir

805
Citations
Are Emily and Greg More Employable than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination

Marianne Bertrand;Marianne Bertrand;Marianne Bertrand;Sendhil Mullainathan;Sendhil Mullainathan

728
Citations

Frequent Co-Authors

Marianne Bertrand University of Chicago

Eldar Shafir Princeton University

Jon Kleinberg Cornell University

Jens Ludwig University of Chicago

Jeffrey R. Kling National Bureau of Economic Research

Dean Karlan Northwestern University

Andrei Shleifer Harvard University

Jonathan Zinman Dartmouth College

Hunt Allcott Stanford University

Jure Leskovec Stanford University

External Links

Wikipedia of Sendhil Mullainathan Personal website of Sendhil Mullainathan Google Scholar page

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