Panos Ipeirotis

Panos Ipeirotis

New York University

H-index: 56

North America-United States

About Panos Ipeirotis

Panos Ipeirotis, With an exceptional h-index of 56 and a recent h-index of 35 (since 2020), a distinguished researcher at New York University, specializes in the field of Crowdsourcing, Data Quality, Text Mining, Human-AI.

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

Reproducibility in Management Science

Strategic choices of migrants and smugglers in the Central Mediterranean Sea

Inscribing Diversity Policies in Algorithmic Hiring Systems: Theory and Empirics

Hiring with Algorithmic Fairness Constraints: Theory and Empirics

The good, the bad, and the unhirable: Recommending job applicants in online labor markets

Editorial to the Inaugural Issue of Collective Intelligence

Full Characterization of Adaptively Strong Majority Voting in Crowdsourcing

Role of online sourcing in occupational gender segregation in IT

Panos Ipeirotis Information

University

Position

___

Citations(all)

28245

Citations(since 2020)

10600

Cited By

21886

hIndex(all)

56

hIndex(since 2020)

35

i10Index(all)

107

i10Index(since 2020)

59

Email

University Profile Page

Google Scholar

Panos Ipeirotis Skills & Research Interests

Crowdsourcing

Data Quality

Text Mining

Human-AI

Top articles of Panos Ipeirotis

Reproducibility in Management Science

Management Science

2023/12/22

Strategic choices of migrants and smugglers in the Central Mediterranean Sea

arXiv preprint arXiv:2207.04480

2022/7/10

Inscribing Diversity Policies in Algorithmic Hiring Systems: Theory and Empirics

Available at SSRN

2023/4/27

Hiring with Algorithmic Fairness Constraints: Theory and Empirics

2023/3/23

Prasanna Parasurama
Prasanna Parasurama

H-Index: 2

Panos Ipeirotis
Panos Ipeirotis

H-Index: 36

The good, the bad, and the unhirable: Recommending job applicants in online labor markets

Management Science

2023

Editorial to the Inaugural Issue of Collective Intelligence

2022/8/22

Full Characterization of Adaptively Strong Majority Voting in Crowdsourcing

arXiv preprint arXiv:2111.06390

2021/11/11

Panos Ipeirotis
Panos Ipeirotis

H-Index: 36

Role of online sourcing in occupational gender segregation in IT

NYU Stern School of Business

2020/8/12

Creativity on paid crowdsourcing platforms

2020/4/21

Demand-Aware Career Path Recommendations: A Reinforcement Learning Approach

Management Science

2020

See List of Professors in Panos Ipeirotis University(New York University)

Co-Authors

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