Sendhil Mullainathan

Sendhil Mullainathan

University of Chicago

H-index: 87

North America-United States

About Sendhil Mullainathan

Sendhil Mullainathan, With an exceptional h-index of 87 and a recent h-index of 74 (since 2020), a distinguished researcher at University of Chicago, specializes in the field of Algorithms and people, Behavioral Science, Machine learning, Applied microeconomics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Machine learning as a tool for hypothesis generation

From predictive algorithms to automatic generation of anomalies

Language Generation in the Limit

The Unreasonable Effectiveness of Algorithms

Automating automaticity: How the context of human choice affects the extent of algorithmic bias

The challenge of understanding what users want: Inconsistent preferences and engagement optimization

Human bias in algorithm design

The inversion problem: Why algorithms should infer mental state and not just predict behavior

Sendhil Mullainathan Information

University

Position

___

Citations(all)

81577

Citations(since 2020)

41484

Cited By

56467

hIndex(all)

87

hIndex(since 2020)

74

i10Index(all)

158

i10Index(since 2020)

135

Email

University Profile Page

University of Chicago

Google Scholar

View Google Scholar Profile

Sendhil Mullainathan Skills & Research Interests

Algorithms and people

Behavioral Science

Machine learning

Applied microeconomics

Top articles of Sendhil Mullainathan

Title

Journal

Author(s)

Publication Date

Machine learning as a tool for hypothesis generation

The Quarterly Journal of Economics

Jens Ludwig

Sendhil Mullainathan

2024/5

From predictive algorithms to automatic generation of anomalies

arXiv preprint arXiv:2404.10111

Sendhil Mullainathan

Ashesh Rambachan

2024/4/15

Language Generation in the Limit

arXiv preprint arXiv:2404.06757

Jon Kleinberg

Sendhil Mullainathan

2024/4/10

The Unreasonable Effectiveness of Algorithms

Jens Ludwig

Sendhil Mullainathan

Ashesh Rambachan

2024/2/5

Automating automaticity: How the context of human choice affects the extent of algorithmic bias

Amanda Y Agan

Diag Davenport

Jens Ludwig

Sendhil Mullainathan

2023/2/20

The challenge of understanding what users want: Inconsistent preferences and engagement optimization

Management Science

Jon Kleinberg

Sendhil Mullainathan

Manish Raghavan

2023/11/7

Human bias in algorithm design

Nature Human Behaviour

Carey K Morewedge

Sendhil Mullainathan

Haaya F Naushan

Cass R Sunstein

Jon Kleinberg

...

2023/11

The inversion problem: Why algorithms should infer mental state and not just predict behavior

Perspectives on Psychological Science

Jon Kleinberg

Jens Ludwig

Sendhil Mullainathan

Manish Raghavan

2023/10/6

Making the invisible epidemic visible

Brian Williams

Aytekin Oto

Jens Ludwig

Rachel Graber

Ziad Obermeyer

...

2023/8/16

A scarcity literature mischaracterized with an empirical audit

Proceedings of the National Academy of Sciences

Anuj K Shah

Jiaying Zhao

Sendhil Mullainathan

Eldar Shafir

2023/6/27

Use large language models to promote equity

arXiv preprint arXiv:2312.14804

Emma Pierson

Divya Shanmugam

Rajiv Movva

Jon Kleinberg

Monica Agrawal

...

2023/12/22

Diagnosing physician error: A machine learning approach to low-value health care

The Quarterly Journal of Economics

Sendhil Mullainathan

Ziad Obermeyer

2022/5

Measuring the completeness of economic models

Journal of Political Economy

Drew Fudenberg

Jon Kleinberg

Annie Liang

Sendhil Mullainathan

2021/1/18

An Economic Approach to Machine Learning in Health Policy

Univ. of Copenhagen Dept. of Economics Discussion, CEBI Working Paper

N Meltem Daysal

Sendhil Mullainathan

Ziad Obermeyer

Suproteem K Sarkar

Mircea Trandafir

2022/12/17

A 680,000-person megastudy of nudges to encourage vaccination in pharmacies

Proceedings of the National Academy of Sciences

Katherine L Milkman

Linnea Gandhi

Mitesh S Patel

Heather N Graci

Dena M Gromet

...

2022/2/8

Health Data Platforms

Sendhil Mullainathan

Ziad Obermeyer

2022/9/23

Erratum: Self-Control at Work

Journal of Political Economy

Supreet Kaur

Michael Kremer

Sendhil Mullainathan

2022/8/1

Solving medicine’s data bottleneck: Nightingale Open Science

Nature Medicine

Sendhil Mullainathan

Ziad Obermeyer

2022/5

An algorithmic approach to reducing unexplained pain disparities in underserved populations

Nature Medicine

Emma Pierson

David M Cutler

Jure Leskovec

Sendhil Mullainathan

Ziad Obermeyer

2021/1

A note on the level of customer support by state governments: A mystery-shopping approach

Oeindrila Dube

Sendhil Mullainathan

Devin G Pope

2021/7/26

See List of Professors in Sendhil Mullainathan University(University of Chicago)