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Panagiotis G. Ipeirotis

Panagiotis G. Ipeirotis

D-Index & Metrics

Computer Science

D-Index
50
Citations
26036
World Ranking
5462
National Ranking
2492

Overview

Panagiotis G. Ipeirotis is affiliated with New York University in the United States. Their research primarily focuses on Decision Sciences, encompassing various subfields such as Management Science and Operations Research, Economics and Econometrics, Sociology and Political Science, Computer Science Applications, and Marketing.

Their scholarly work spans a wide range of topics, including:

  • Auction Theory and Applications
  • Digital Economy and Work Transformation
  • Advanced Bandit Algorithms Research
  • Consumer Market Behavior and Pricing
  • Gender Diversity and Inequality
  • Mobile Crowdsensing and Crowdsourcing
  • Scientometrics and Bibliometrics Research

Panagiotis G. Ipeirotis has contributed articles to several publication venues, with multiple papers appearing in:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Management Science
  • Academy of Management Proceedings
  • Collective Intelligence

Recent papers authored or coauthored by Panagiotis G. Ipeirotis include:

  • Demand-Aware Career Path Recommendations: A Reinforcement Learning Approach, 2020, Management Science
  • The Good, the Bad, and the Unhirable: Recommending Job Applicants in Online Labor Markets, 2023, Management Science
  • Gender and Race Preferences in Hiring in the Age of Diversity Goals: Evidence from Silicon Valley Tech Firms, 2020, SSRN Electronic Journal
  • Editorial to the Inaugural Issue of Collective Intelligence, 2022, Collective Intelligence
  • Algorithmic Hiring and Diversity: Reducing Human-Algorithm Similarity for Better Outcomes, 2025, SSRN Electronic Journal

The researcher frequently collaborates with others in their field. Notable coauthors include:

  • Prasanna Parasurama
  • Marios Kokkodis
  • Anindya Ghose
  • Jessica C. Flack
  • Thomas W. Malone

Best Publications

  • Running experiments on Amazon Mechanical Turk

    Gabriele Paolacci;Jesse Chandler;Panagiotis G. Ipeirotis

  • Duplicate Record Detection: A Survey

    A.K. Elmagarmid;P.G. Ipeirotis;V.S. Verykios

  • Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics

    A. Ghose;P. G. Ipeirotis

  • Get another label? improving data quality and data mining using multiple, noisy labelers

    Victor S. Sheng;Foster Provost;Panagiotis G. Ipeirotis

  • Quality management on Amazon Mechanical Turk

    Panagiotis G. Ipeirotis;Foster Provost;Jing Wang

  • Deriving the Pricing Power of Product Features by Mining Consumer Reviews

    Nikolay Archak;Anindya Ghose;Panagiotis G. Ipeirotis

  • Analyzing the Amazon Mechanical Turk marketplace

    Panagiotis G. Ipeirotis

  • Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content

    Anindya Ghose;Panagiotis G. Ipeirotis;Beibei Li

  • Approximate String Joins in a Database (Almost) for Free

    Luis Gravano;Panagiotis G. Ipeirotis;H. V. Jagadish;Nick Koudas

  • Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection

    Grant Van Horn;Steve Branson;Ryan Farrell;Scott Haber

  • Designing novel review ranking systems: predicting the usefulness and impact of reviews

    Anindya Ghose;Panagiotis G. Ipeirotis

  • Examining the Impact of Ranking on Consumer Behavior and Search Engine Revenue

    Anindya Ghose;Panagiotis G. Ipeirotis;Beibei Li

  • Text joins in an RDBMS for web data integration

    Luis Gravano;Panagiotis G. Ipeirotis;Nick Koudas;Divesh Srivastava

  • Show me the money!: deriving the pricing power of product features by mining consumer reviews

    Nikolay Archak;Anindya Ghose;Panagiotis G. Ipeirotis

  • The Dynamics of Micro-Task Crowdsourcing: The Case of Amazon MTurk

    Djellel Eddine Difallah;Michele Catasta;Gianluca Demartini;Panagiotis G. Ipeirotis

  • Distributed search over the hidden web: hierarchical database sampling and selection

    Panagiotis G. Ipeirotis;Luis Gravano

  • Answering General Time-Sensitive Queries

    W. Dakka;L. Gravano;P. G. Ipeirotis

  • Probe, count, and classify: categorizing hidden web databases

    Panagiotis G. Ipeirotis;Luis Gravano;Mehran Sahami

  • Repeated labeling using multiple noisy labelers

    Panagiotis G. Ipeirotis;Foster Provost;Victor S. Sheng;Jing Wang

  • Opinion Mining using Econometrics: A Case Study on Reputation Systems

    Anindya Ghose;Panagiotis Ipeirotis;Arun Sundararajan

  • Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowd-Sourced Content

    Anindya Ghose;Panagiotis G. Ipeirotis;Beibei Li

Frequent Co-Authors

Luis Gravano
Luis Gravano Columbia University
Foster Provost
Foster Provost New York University
Mehran Sahami
Mehran Sahami Stanford University
Vagelis Hristidis
Vagelis Hristidis University of California, Riverside
Victor S. Sheng
Victor S. Sheng Texas Tech University
Divesh Srivastava
Divesh Srivastava AT&T (United States)
Nick Koudas
Nick Koudas University of Toronto
Evgeniy Gabrilovich
Evgeniy Gabrilovich Google (United States)
Eugene Agichtein
Eugene Agichtein Emory University

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