Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Women are credited less in science than men
2022176 citationsMatthew B. Ross, Julia Lane et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of Julia Lane's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Julia Lane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Lane more than expected).
This network shows the impact of papers produced by Julia Lane. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Julia Lane. The network helps show where Julia Lane may publish in the future.
Co-authorship network of co-authors of Julia Lane
This figure shows the co-authorship network connecting the top 25 collaborators of Julia Lane.
A scholar is included among the top collaborators of Julia Lane based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Julia Lane. Julia Lane is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Goldschlag, Nathan, Ron S. Jarmin, Julia Lane, & Nikolas Zolas. (2019). Research Experience as Human Capital in New Business Outcomes. NBER Chapters.1 indexed citations
5.
Spier, Elizabeth, Pia Rebello Britto, Terri Pigott, et al.. (2016). Parental, Familial, and Community Support Interventions to Improve Children's Literacy in Developing Countries: A Systematic Review. Campbell Systematic Reviews. 12(4).6 indexed citations
Jarmin, Ron S., Julia Lane, Alan C. Marco, & Ian Foster. (2014). Using the Classroom to Bring Big Data to Statistical Agencies. 12–13.4 indexed citations
Lane, Julia & Victoria Stodden. (2013). What? Me Worry?: What to Do About Privacy, Big Data, and Statistical Research. 14.3 indexed citations
10.
Bender, Stefan, Julia Lane, Kathryn Shaw, Fredrik Andersson, & Till von Wachter. (2008). The Analysis of Firms and Employees: Quantitative and Qualitative Approaches. RePEc: Research Papers in Economics.1 indexed citations
11.
Freedman, Matthew, Julia Lane, & Marc Roemer. (2008). New Approaches to Creating Data for Economic Geographers. Journal of Official Statistics. 24(1). 133–156.5 indexed citations
Lane, Julia, et al.. (2007). Establishment Wage Differentials. RePEc: Research Papers in Economics.16 indexed citations
14.
Abowd, John M. & Julia Lane. (2004). New Approaches to Confidentiality Protection Synthetic Data, Remote Access and Research Data Centers. Lecture notes in computer science. 3050. 282–289.2 indexed citations
15.
Haltiwanger, John, et al.. (2003). Using Worker Flows in the Analysis of the Firm. RePEc: Research Papers in Economics.1 indexed citations
16.
Andersson, Fredrik, Harry J. Holzer, & Julia Lane. (2002). THE INTERACTIONS OF WORKERS AND FIRMS IN THE LOW-WAGE LABOR MARKET. RePEc: Research Papers in Economics.5 indexed citations
17.
Holzer, Harry J., et al.. (2001). Escaping Poverty for Low-Wage Workers: The Role of Employer Characteristics and Changes.. RePEc: Research Papers in Economics.4 indexed citations
Lane, Julia & David W. Stevens. (1995). Family, Work and Welfare History: Work and Welfare Outcomes. American Economic Review. 85(2). 266–271.17 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.