Maarten Goos

30 papers receiving 2.2k citations

Hit Papers

Explaining Job Polarization: Routine-Biased Technological...2009202620142020201420092505007501000

Peers

Maarten Goos
Comparison fields: 5 of 96
  • Economics and Econometrics 1.7k
  • General Health Professions 794
  • Sociology and Political Science 745
  • Political Science and International Relations 298
  • General Economics, Econometrics and Finance 284
Replace Anna Salomons with:
Anna Salomons Netherlands
Ève Caroli France
Michael C. Burda Germany
Kathryn Shaw United States
Dennis J. Snower United Kingdom
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Robert A. Lawson United States
Claus Schnabel Germany
Maarten Goos relative to Anna Salomons Netherlands Anna Salomons's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Maarten Goos

Since Specialization
Citations

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

Fields of papers citing papers by Maarten Goos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maarten Goos

This figure shows the co-authorship network connecting the top 25 collaborators of Maarten Goos. A scholar is included among the top collaborators of Maarten Goos 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 Maarten Goos. Maarten Goos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 23
2 43
3 18
4 6
5 13
6 13
7 99
8 11
9
How the world of work is changing: a review of the evidence
14
10
Job Polarization During the Great Recession and Beyond
4
11 3
12 3
13 53
14
Teachers researching with university academics
2
15
RECENT CHANGES IN THE EUROPEAN EMPLOYMENT STRUCTURE: THE ROLES OF TECHNOLOGY AND GLOBALIZATION
11
16 10
17
McJobs and MacJobs: The growing polarization of work in Britain
1
18 5
19
Firm growth in Belgium
2
20
Choosing and using technology--What can teachers learn from students' learning?
0

About Maarten Goos

Maarten Goos is a scholar working on Public Administration, Economics and Econometrics and Accounting, having authored 32 papers that have together received 2.4k indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (16 papers), Firm Innovation and Growth (12 papers) and Employment and Welfare Studies (6 papers). The work is most often cited by research in Economics and Econometrics (1.7k citations), General Economics, Econometrics and Finance (284 citations) and Public Administration (112 citations). Maarten Goos has collaborated with scholars based in Netherlands, Belgium and United Kingdom. Frequent co-authors include Anna Salomons, Alan Manning, Wiljan van den Berge, James Bessen, Jozef Konings, María Savona, Patrick Van Cayseele, Erik Buyst, Jarmila Novotná and Tanja van der Lippe. Their work appears in journals such as American Economic Review, Research Policy and The Review of Economics and Statistics.

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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