Tue Gørgens

766 citations
26 papers · 422 indexed · h-index 10
Topics
Statistical Methods and Inference (6 papers)Labor market dynamics and wage inequality (5 papers)Spatial and Panel Data Analysis (4 papers)

In The Last Decade

Tue Gørgens

25 papers receiving 390 citations

Peers

Tue Gørgens
Comparison fields: 5 of 75
  • Economics and Econometrics 121
  • Statistics and Probability 113
  • Sociology and Political Science 89
  • Pediatrics, Perinatology and Child Health 76
  • General Health Professions 70
Replace Cristine Campos de Xavier Pinto with:
Cristine Campos de Xavier Pinto Brazil
Keith Finlay United States
Christophe Muller Spain
Christian Schlüter United Kingdom
Evan Roberts United States
Sean Becketti United States
Anna Raute Germany
Debopam Bhattacharya United Kingdom
Diganta Mukherjee India
John L. Newman United States
Tue Gørgens relative to Cristine Campos de Xavier Pinto Brazil Cristine Campos de Xavier Pinto's profile →
Citations per field
00.5×5.4×
Cristine Campos de Xavier Pinto · 1×
Citations per year

Countries citing papers authored by Tue Gørgens

Since Specialization
Citations

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

Fields of papers citing papers by Tue Gørgens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tue Gørgens

This figure shows the co-authorship network connecting the top 25 collaborators of Tue Gørgens. A scholar is included among the top collaborators of Tue Gørgens 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 Tue Gørgens. Tue Gørgens 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 2
2 3
3 6
4 1
5 32
6 104
7 1
8 41
9 24
10
Finding Employment After Migration: How Long Does It Take?
2
11 8
12
The Impact of Additional Educational Qualifications for Early School Leavers
5
13 11
14
How Does Public Regulation Affect Growth
15
15 2
16 7
17 1
18
Selection and Stunting Effects of Famine: A Case Study of the Great Chinese Famine ∗
7
19 13
20 109

About Tue Gørgens

Tue Gørgens is a scholar working on Statistics and Probability, Gender Studies and Economics and Econometrics, having authored 26 papers that have together received 422 indexed citations. Recurring topics across this work include Statistical Methods and Inference (6 papers), Labor market dynamics and wage inequality (5 papers) and Spatial and Panel Data Analysis (4 papers). The work is most often cited by research in Statistics and Probability (113 citations), Gender Studies (53 citations) and Safety Research (39 citations). Tue Gørgens has collaborated with scholars based in Australia, New Zealand and Germany. Frequent co-authors include Joël L. Horowitz, Rhema Vaithianathan, Xin Meng, Denise Doiron, Deborah A. Cobb‐Clark, Allan H. Würtz, Chris Ryan, Martín Paldam, Dean Hyslop and Xin Meng. Their work appears in journals such as Journal of Econometrics, Journal of Development Economics and Economics Letters.

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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