D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Economics and Finance D-index 70 Citations 56,171 119 World Ranking 226 National Ranking 166

Research.com Recognitions

Awards & Achievements

2016 - Fellow of the American Academy of Arts and Sciences

2002 - Fellow of the MacArthur Foundation

2001 - Fellow of Alfred P. Sloan Foundation

Overview

What is he best known for?

The fields of study he is best known for:

  • Law
  • Statistics
  • Finance

The scientist’s investigation covers issues in Microeconomics, Behavioral economics, Shareholder, Newspaper and Control. As a part of the same scientific study, Sendhil Mullainathan usually deals with the Microeconomics, concentrating on Liberian dollar and frequently concerns with Temptation, Investment, Set, Neoclassical economics and Self. His Behavioral economics study integrates concerns from other disciplines, such as Poverty, Marketing, Competitor analysis and Positive economics.

Sendhil Mullainathan usually deals with Shareholder and limits it to topics linked to Corporate law and State, Earnings, Incentive, Monetary economics and Enforcement. Sendhil Mullainathan has included themes like Social class and Media bias in his Newspaper study. His Corporate governance research includes themes of Productivity, Profitability index and Market economy.

His most cited work include:

  • How Much Should We Trust Differences-In-Differences Estimates? (5245 citations)
  • Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination (2297 citations)
  • Enjoying the Quiet Life? Corporate Governance and Managerial Preferences (1441 citations)

What are the main themes of his work throughout his whole career to date?

Sendhil Mullainathan mostly deals with Microeconomics, Public economics, Behavioral economics, Artificial intelligence and Machine learning. The study incorporates disciplines such as Principal–agent problem, Savings account and Shareholder in addition to Microeconomics. His Shareholder study is concerned with the field of Corporate governance as a whole.

His Welfare research extends to Public economics, which is thematically connected. His study in Welfare is interdisciplinary in nature, drawing from both Actuarial science and Value. His studies deal with areas such as Loan and Marketing as well as Behavioral economics.

He most often published in these fields:

  • Microeconomics (21.04%)
  • Public economics (13.59%)
  • Behavioral economics (12.62%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (9.06%)
  • Machine learning (8.41%)
  • Task (5.18%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Artificial intelligence, Machine learning, Task, Algorithm and Health care. His work deals with themes such as Quality, Inference and Health records, which intersect with Machine learning. His studies in Quality integrate themes in fields like Simplicity, Disadvantaged, Interpretability and Statistical discrimination.

His Task research integrates issues from Actuarial science, Stochastic game, Value, Counterfactual conditional and Decision rule. His Algorithm study which covers Equity that intersects with Forcing. The Health care study which covers MEDLINE that intersects with Mortality trends and Demography.

Between 2015 and 2021, his most popular works were:

  • Dissecting racial bias in an algorithm used to manage the health of populations (464 citations)
  • Inherent Trade-Offs in the Fair Determination of Risk Scores (455 citations)
  • Machine Learning: An Applied Econometric Approach (398 citations)

In his most recent research, the most cited papers focused on:

  • Law
  • Statistics
  • Artificial intelligence

His primary scientific interests are in Artificial intelligence, Machine learning, Health care, MEDLINE and Algorithm. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Criminal justice, Recommender system, Boolean function and As is. His Machine learning research incorporates themes from Simplicity, Unmeasured confounding and Inference.

His biological study spans a wide range of topics, including Socioeconomics, Revenue and Financial health. His MEDLINE study combines topics from a wide range of disciplines, such as Demography and Mortality trends. Sendhil Mullainathan integrates many fields, such as Framingham Risk Score and engineering, in his works.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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

Marianne Bertrand;Esther Duflo;Sendhil Mullainathan.
Quarterly Journal of Economics (2004)

10982 Citations

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

Marianne Bertrand;Sendhil Mullainathan.
The American Economic Review (2004)

5523 Citations

Enjoying the Quiet Life? Corporate Governance and Managerial Preferences

Marianne Bertrand;Sendhil Mullainathan.
Journal of Political Economy (2003)

2833 Citations

Poverty impedes cognitive function

Anandi Mani;Sendhil Mullainathan;Eldar Shafir;Jiaying Zhao.
Science (2013)

2127 Citations

Are CEOs Rewarded for Luck? The Ones Without Principals Are

Marianne Bertrand;Sendhil Mullainathan.
Quarterly Journal of Economics (2001)

2124 Citations

Ferreting out Tunneling: An Application to Indian Business Groups

Marianne Bertrand;Paras Praful Mehta;Sendhil Mullainathan.
Quarterly Journal of Economics (2002)

1985 Citations

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

Marianne Bertrand;Sendhil Mullainathan.
The American Economic Review (2001)

1746 Citations

The Market for News

Sendhil Mullainathan;Andrei Shleifer.
The American Economic Review (2005)

1620 Citations

Some Consequences of Having Too Little

Anuj K. Shah;Sendhil Mullainathan;Eldar Shafir.
Science (2012)

1194 Citations

NETWORK EFFECTS AND WELFARE CULTURES

Marianne Bertrand;Erzo F.P. Luttmer;Sendhil Mullainathan.
Quarterly Journal of Economics (2000)

1134 Citations

Best Scientists Citing Sendhil Mullainathan

Iftekhar Hasan

Iftekhar Hasan

Fordham University

Publications: 52

John A. List

John A. List

University of Chicago

Publications: 44

Bruno S. Frey

Bruno S. Frey

University of Basel

Publications: 42

Alois Stutzer

Alois Stutzer

University of Basel

Publications: 42

Dean Karlan

Dean Karlan

Northwestern University

Publications: 37

Randall Morck

Randall Morck

University of Alberta

Publications: 34

Esther Duflo

Esther Duflo

MIT

Publications: 32

Jens Ludwig

Jens Ludwig

University of Chicago

Publications: 31

David Neumark

David Neumark

University of California, Irvine

Publications: 31

David Laibson

David Laibson

Harvard University

Publications: 31

Jonathan Gruber

Jonathan Gruber

MIT

Publications: 30

Sumit Agarwal

Sumit Agarwal

National University of Singapore

Publications: 29

Jonathan Zinman

Jonathan Zinman

Dartmouth College

Publications: 28

Olivia S. Mitchell

Olivia S. Mitchell

University of Pennsylvania

Publications: 27

Kose John

Kose John

New York University

Publications: 27

Bernard Yeung

Bernard Yeung

National University of Singapore

Publications: 26

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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