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

New York University

Google Scholar

View Google Scholar Profile

Panos Ipeirotis Skills & Research Interests

Crowdsourcing

Data Quality

Text Mining

Human-AI

Top articles of Panos Ipeirotis

Title

Journal

Author(s)

Publication Date

Reproducibility in Management Science

Management Science

Miloš Fišar

Ben Greiner

Christoph Huber

Elena Katok

Ali I Ozkes

...

2023/12/22

Strategic choices of migrants and smugglers in the Central Mediterranean Sea

arXiv preprint arXiv:2207.04480

Katherine Hoffmann Pham

Junpei Komiyama

2022/7/10

Inscribing Diversity Policies in Algorithmic Hiring Systems: Theory and Empirics

Available at SSRN

Prasanna Parasurama

Panagiotis G Ipeirotis

2023/4/27

Hiring with Algorithmic Fairness Constraints: Theory and Empirics

Prasanna Parasurama

Panos Ipeirotis

2023/3/23

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

Management Science

Marios Kokkodis

Panagiotis G Ipeirotis

2023

Editorial to the Inaugural Issue of Collective Intelligence

Jessica Flack

Panos Ipeirotis

Thomas W Malone

Geoff Mulgan

Scott E Page

2022/8/22

Full Characterization of Adaptively Strong Majority Voting in Crowdsourcing

arXiv preprint arXiv:2111.06390

Margarita Boyarskaya

Panos Ipeirotis

2021/11/11

Role of online sourcing in occupational gender segregation in IT

NYU Stern School of Business

Prasanna Parasurama

Anindya Ghose

Panagiotis G Ipeirotis

2020/8/12

Creativity on paid crowdsourcing platforms

Jonas Oppenlaender

Kristy Milland

Aku Visuri

Panos Ipeirotis

Simo Hosio

2020/4/21

Demand-Aware Career Path Recommendations: A Reinforcement Learning Approach

Management Science

Marios Kokkodis

Panagiotis G Ipeirotis

2020

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

Co-Authors

H-index: 68
Nick Koudas

Nick Koudas

University of Toronto

H-index: 68
Foster Provost

Foster Provost

New York University

H-index: 57
Luis Gravano

Luis Gravano

Columbia University in the City of New York

H-index: 55
Anindya Ghose

Anindya Ghose

New York University

H-index: 51
Eugene Agichtein

Eugene Agichtein

Emory & Henry College

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