Lars Vilhuber

56 papers receiving 628 citations

Peers

Lars Vilhuber
Comparison fields: 5 of 71
  • Computer Science Applications 75
  • Artificial Intelligence 357
  • Information Systems and Management 43
  • Economics and Econometrics 147
  • Sociology and Political Science 214
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Countries citing papers authored by Lars Vilhuber

Since Specialization
Citations

This map shows the geographic impact of Lars Vilhuber'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 Lars Vilhuber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Vilhuber more than expected).

Fields of papers citing papers by Lars Vilhuber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lars Vilhuber. 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 Lars Vilhuber. The network helps show where Lars Vilhuber may publish in the future.

Co-authors

The 25 scholars most cited alongside Lars Vilhuber, 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 Lars Vilhuber Line = papers co-authored together Lars Vilhuber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008290
2 200532
3 201730
4 201027
5 200826
6 200423
7 202022
8 201916
9 201314
10 201713
11 201211
12 202011
13 20229
14 20219
15
Confidentiality Protection in the Census Bureau’s Quarterly Workforce Indicators
20068
16
The LEHD Infrastructure Files and the Creation of the Quarterly Workforce Indicators
20028
17 20237
18 20207
19 20217
20 20206

About Lars Vilhuber

Lars Vilhuber is a scholar working on Economics and Econometrics, Sociology and Political Science, Artificial Intelligence, Management Science and Operations Research and Information Systems and Management, having authored 65 papers that have together received 685 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (10 papers), Labor market dynamics and wage inequality (9 papers), Scientific Computing and Data Management (7 papers), Privacy, Security, and Data Protection (6 papers), Data Quality and Management (5 papers), demographic modeling and climate adaptation (5 papers), Urban, Neighborhood, and Segregation Studies (5 papers) and Research Data Management Practices (5 papers). The work is most often cited by research in Computer Science Applications (75 citations), Artificial Intelligence (357 citations), Information Systems and Management (43 citations), Economics and Econometrics (147 citations) and Sociology and Political Science (214 citations). Lars Vilhuber has collaborated with scholars based in United States, Canada and France. Frequent co-authors include John M. Abowd, Ashwin Machanavajjhala, Johannes Gehrke, Daniel Kifer, Julie Cloutier, Harry J. Holzer, Julia Lane, Mark Kutzbach, Kevin L. McKinney and Matthew Graham. Their work appears in journals such as Industrial and Labor Relations Review, Journal of Econometrics, Journal of Business and Economic Statistics, International Journal of Stress Management and Canadian Journal of Economics/Revue canadienne d économique.

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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