Tor Eriksson

4.3k citations
83 papers · 2.4k indexed · h-index 25

Tor Eriksson

79 papers receiving 2.3k citations

Peers

Tor Eriksson
Comparison fields: 5 of 131
  • General Decision Sciences 168
  • Safety Research 540
  • Accounting 360
  • Economics and Econometrics 845
  • Health 194
Replace Rudolf Winter‐Ebmer with:
Rudolf Winter‐Ebmer Austria
Anandi Mani United Kingdom
Lisa Cameron Australia
Joachim Winter Germany
Bernard M. S. van Praag Netherlands
Daniel S. Hamermesh United States
Anke Becker Germany
Paul Anand United Kingdom
Nava Ashraf United States
Karl Taylor United Kingdom
Tor Eriksson relative to Rudolf Winter‐Ebmer Austria Rudolf Winter‐Ebmer's profile →
Citations per field
00.5×1.5×
Rudolf Winter‐Ebmer · 1×
Citations per year

Countries citing papers authored by Tor Eriksson

Since Specialization
Citations

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

Fields of papers citing papers by Tor Eriksson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20232
3 20237
4 202113
5 20123
6 20123
7
The Role of Family Background for Earnings in Rural China
20101
8 20096
9 200851
10
Gavner god ledelse bundlinien?: Resultater fra en undersøgelse af 1100 danske virksomheder
20071
11 200713
12 2006128
13 20065
14 20041
15 20030
16 2000287
17 200010
18 200029
19 1999356
20
Advances in the economic analysis of participatory and labor-managed firms : a research annual
19852

About Tor Eriksson

Tor Eriksson is a scholar working on Safety Research, Economics and Econometrics, Public Administration, Accounting and General Decision Sciences, having authored 83 papers that have together received 2.4k indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (20 papers), Experimental Behavioral Economics Studies (16 papers), Employment and Welfare Studies (11 papers), Firm Innovation and Growth (11 papers), Intergenerational and Educational Inequality Studies (9 papers), Corporate Finance and Governance (8 papers), Financial Literacy, Pension, Retirement Analysis (5 papers) and Entrepreneurship Studies and Influences (5 papers). The work is most often cited by research in General Decision Sciences (168 citations), Safety Research (540 citations), Accounting (360 citations), Economics and Econometrics (845 citations) and Health (194 citations). Tor Eriksson has collaborated with scholars based in Denmark, China and France. Frequent co-authors include Marie Claire Villeval, Preben Bo Mortensen, Esben Agerbo, Jaime Ortega, Anders Poulsen, Anders Björklund, Niels Westergård‐Nielsen, Ping Qin, Oddbjørn Raaum and Nicolai Kristensen. Their work appears in journals such as China Economic Review, Economics of Transition, Labour, Journal of Economic Behavior & Organization and Journal of Labor Economics.

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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