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D-Index & Metrics

Social Sciences and Humanities

D-Index
44
Citations
8226
World Ranking
4142
National Ranking
1971

Research.com Recognitions

  • 2014 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2009 - Fellow of the American Statistical Association (ASA)

Overview

Julia Lane is affiliated with New York University in the United States. Their research spans various fields including Economics and Econometrics, Statistics, Probability and Uncertainty, Artificial Intelligence, Management Science and Operations Research, and History and Philosophy of Science.

The scientist's work covers multiple main topics such as:

  • scientometrics and bibliometrics research
  • Data Quality and Management
  • Privacy-Preserving Technologies in Data
  • Labor market dynamics and wage inequality
  • Innovation Policy and R&D
  • Academic Writing and Publishing
  • Meta-analysis and systematic reviews

Frequent coauthors include:

  • Stephanie Shipp
  • Kaye Husbands Fealing
  • Bruce A. Weinberg
  • Matthew B. Ross
  • John H. Marburger

Key publication venues where Julia Lane has contributed include:

  • Harvard Data Science Review
  • Nature
  • SSRN Electronic Journal
  • The Journal of Human Resources
  • Significance

Selected recent papers authored or coauthored by Julia Lane are:

  • Women are credited less in science than men, 2022, Nature
  • Enhancing and Accelerating Social Science Via Automation: Challenges and Opportunities, 2021, Harvard Data Science Review
  • Data Inventories for the Modern Age? Using Data Science to Open Government Data, 2022, Harvard Data Science Review
  • Does Federally Funded Job Training Work?, 2022, The Journal of Human Resources
  • How to track the economic impact of public investments in AI, 2024, Nature

Julia Lane has also contributed to book publications, including:

  • Democratizing Our Data, 2020, The MIT Press
  • The Science of Science Policy, 2020, Stanford University Press eBooks

The scientist has been recognized with awards such as:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2014
  • Fellow of the American Statistical Association (ASA), 2009

Best Publications

  • Productivity Differences across Employers: The Roles of Employer Size, Age, and Human Capital

    John C . Haltiwanger;Julia I . Lane;James R . Spletzer

  • Job flows, worker flows, and churning

    Simon Burgess;Julia Lane;David Stevens

  • Let’s make science metrics more scientific

    Julia Lane

  • Cities, matching and the productivity gains of agglomeration

    Fredrick Andersson;Simon Burgess;Julia I. Lane

  • Confidentiality, Disclosure and Data Access: Theory and Practical Applications for Statistical Agencies

    Pat Doyle;Julia I. Lane;Jules Theeuwes;Laura V. Zayatz

  • Wages, productivity, and the dynamic interaction of businesses and workers

    John C. Haltiwanger;John C. Haltiwanger;Julia I. Lane;Julia I. Lane;James R. Spletzer

  • Privacy, Big Data, and the Public Good: Frameworks for Engagement

    Julia I. Lane;Victoria Stodden;Stefan Bender;Helen Fay Nissenbaum

  • Big Data in Survey Research AAPOR Task Force Report

    Lilli Japec;Frauke Kreuter;Frauke Kreuter;Marcus Berg;Paul P. Biemer;Paul P. Biemer

  • New Approaches to Confidentiality Protection Synthetic Data, Remote Access and Research Data Centers

    John Abowd;Julia Lane

  • The Relation among Human Capital, Productivity, and Market Value: Building Up from Micro Evidence

    John M Abowd;John Haltiwanger;Ron Jarmin;Julia Lane

  • Measuring the Results of Science Investments

    Julia Ingrid Lane;Stefano Bertuzzi

  • Integrated longitudinal employer-employee data for the United States

    John J. Abowd;John Haltiwanger;Julia Lane

  • Big Data and Social Science: A Practical Guide to Methods and Tools

    Ian Foster;Rayid Ghani;Ron S. Jarmin;Frauke Kreuter

  • Assessing the Impact of Science Funding

    Julia Ingrid Lane

  • Economic Turbulence: Is a Volatile Economy Good for America?

    Clair Brown;John C. Haltiwanger;Julia I. Lane

  • Reaching for the Stars: Who Pays for Talent in Innovative Industries?*

    Fredrik Andersson;Matthew Freedman;John C Haltiwanger;Julia Lane

  • Churning dynamics: an analysis of hires and separations at the employer level

    Simon Burgess;Julia Lane;David Stevens

  • Gender and the Publication Output of Graduate Students: A Case Study

    Michele Pezzoni;Michele Pezzoni;Michele Pezzoni;Jacques Mairesse;Paula Stephan;Julia Lane;Julia Lane;Julia Lane

  • Moving Up or Moving On: Who Advances in the Low-Wage Labor Market

    Fredrik Andersson;Harry J. Holzer;Julia I. Lane

  • The Creation and Analysis of Employer-Employee Matched Data

    J.C. Haltiwanger;J.J.M. Theeuwes;J.I. Lane

  • Understanding the Educational and Career Pathways of Engineers

    Julia Ingrid Lane

  • Moving Up or Moving On: Who Advances in the Low-Wage Labor Market?

    F Andersson;Simon M Burgess;HJ Holzer;JI Lane

Frequent Co-Authors

Ron S. Jarmin
Ron S. Jarmin United States Census Bureau
Frauke Kreuter
Frauke Kreuter Ludwig-Maximilians-Universität München
Brian P. McCall
Brian P. McCall University of Michigan–Ann Arbor
Cliff Lampe
Cliff Lampe University of Michigan–Ann Arbor
Paula E. Stephan
Paula E. Stephan Georgia State University
Tal Yarkoni
Tal Yarkoni The University of Texas at Austin
Helen Nissenbaum
Helen Nissenbaum Cornell University
William H. Dutton
William H. Dutton University of Oxford
David A. Robinson
David A. Robinson Rutgers, The State University of New Jersey
Anthony Scott
Anthony Scott University of Melbourne

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