Julia Lane

6.0k citations
192 papers · 3.1k · 1 hit paper · h-index 28

Impact in

Papers in

Julia Lane

174 papers receiving 2.7k citations

Julia Lane's Hit Papers

Women are credited less in science than men 2022 · 192 citations
1920+1+2Years since publication50100150

Peers

Julia Lane
Comparison fields: 5 of 158
  • Economics and Econometrics 1.2k
  • Statistics, Probability and Uncertainty 262
  • Public Administration 106
  • Management of Technology and Innovation 179
  • Gender Studies 221
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Julia Lane relative to John Hudson United Kingdom John Hudson's profile →
Citations per field
00.5×1.7×
John Hudson · 1×
Citations per year

Countries citing papers authored by Julia Lane

Since Specialization
Citations

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).

Fields of papers citing papers by Julia Lane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Julia Lane, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Julia Lane Line = papers co-authored together Julia Lane links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 192 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999271
2
Confidentiality, Disclosure and Data Access: Theory and Practical Applications for Statistical Agencies
2001205
3
Women are credited less in science than men
Hit paper breakdown →
2022192
4 2010180
5 201587
6 201183
7 201482
8 200479
9 199776
10 200166
11 200963
12 201661
13 201156
14 201555
15 200354
16 199950
17 201050
18 201449
19 201648
20 199746

About Julia Lane

Julia Lane is a scholar working on Economics and Econometrics, Sociology and Political Science, General Health Professions, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 192 papers that have together received 3.1k indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (44 papers), Firm Innovation and Growth (25 papers), Employment and Welfare Studies (14 papers), scientometrics and bibliometrics research (13 papers), Gender, Labor, and Family Dynamics (11 papers), Innovation Policy and R&D (10 papers), Economic Growth and Productivity (10 papers) and Data Quality and Management (9 papers). The work is most often cited by research in Economics and Econometrics (1.2k citations), Statistics, Probability and Uncertainty (262 citations), Public Administration (106 citations), Management of Technology and Innovation (179 citations) and Gender Studies (221 citations). Julia Lane has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include John Haltiwanger, James R. Spletzer, Bruce A. Weinberg, Simon Burgess, Jules Theeuwes, Laura Zayatz, Pat Doyle, David W. Stevens, Stefano Bertuzzi and Dennis Glennon. Their work appears in journals such as Journal of Policy Analysis and Management, Science, Nature, Campbell Systematic Reviews and Industrial Relations A Journal of Economy and Society.

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.

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