Jan Sauermann

1.3k total citations · 1 hit paper
25 papers, 734 citations indexed

About

Jan Sauermann is a scholar working on Economics and Econometrics, Sociology and Political Science and Education. According to data from OpenAlex, Jan Sauermann has authored 25 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Economics and Econometrics, 6 papers in Sociology and Political Science and 5 papers in Education. Recurrent topics in Jan Sauermann's work include Labor market dynamics and wage inequality (10 papers), Economic Policies and Impacts (6 papers) and Experimental Behavioral Economics Studies (4 papers). Jan Sauermann is often cited by papers focused on Labor market dynamics and wage inequality (10 papers), Economic Policies and Impacts (6 papers) and Experimental Behavioral Economics Studies (4 papers). Jan Sauermann collaborates with scholars based in Sweden, Netherlands and Germany. Jan Sauermann's co-authors include Andries de Grip, Friederike Mengel, Ulf Zölitz, Thomas Dohmen, Jan Feld, Didier Fouarge, Lex Borghans, Inge Sieben, Christian Moser and Yves Zénou and has published in prestigious journals such as The Economic Journal, Journal of Econometrics and The Journal of Human Resources.

In The Last Decade

Jan Sauermann

24 papers receiving 694 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Gender Bias in Teaching Evaluations

2018 230 citations Friederike Mengel, Jan Sauermann et al. Journal of the European Economic Association profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jan Sauermann Sweden	11	277	196	160	148	68	25	734
Josephine E. Olson United States	14	155 0.6×	211 1.1×	199 1.2×	66 0.4×	22 0.3×	33	822
Huub Meijers Netherlands	9	327 1.2×	174 0.9×	82 0.5×	75 0.5×	141 2.1×	17	815
James Monks United States	18	350 1.3×	235 1.2×	98 0.6×	494 3.3×	41 0.6×	40	956
Rolf van der Velden Netherlands	14	370 1.3×	256 1.3×	52 0.3×	494 3.3×	52 0.8×	57	1.1k
Eddy Omey Belgium	17	474 1.7×	314 1.6×	74 0.5×	258 1.7×	34 0.5×	41	1.0k
Louis‐Philippe Beland United States	14	359 1.3×	219 1.1×	54 0.3×	112 0.8×	18 0.3×	26	792
Todd Shields United States	20	145 0.5×	571 2.9×	209 1.3×	47 0.3×	85 1.3×	51	1.2k
María Huertas González‐Serrano Spain	17	111 0.4×	284 1.4×	102 0.6×	95 0.6×	19 0.3×	77	891
Luis E. Vila Spain	16	186 0.7×	98 0.5×	36 0.2×	255 1.7×	36 0.5×	35	733
Kevin N. Rask United States	10	178 0.6×	78 0.4×	90 0.6×	424 2.9×	177 2.6×	23	794

Countries citing papers authored by Jan Sauermann

Since Specialization

Citations

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

Fields of papers citing papers by Jan Sauermann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Sauermann

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Adermon, Adrian, et al.. (2023). Earnings Losses and the Role of the Welfare State During the COVID‐19 Pandemic: Evidence from Sweden. Review of Income and Wealth. 70(4). 981–1010. 2 indexed citations

2.

Engbom, Niklas, Christian Moser, & Jan Sauermann. (2022). Firm pay dynamics. Journal of Econometrics. 233(2). 396–423. 8 indexed citations

3.

Sauermann, Jan, et al.. (2022). The Effect of Employment Protection on Firms’ Worker Selection. The Journal of Human Resources. 59(6). 1981–2020. 2 indexed citations

4.

Adermon, Adrian, et al.. (2022). Earnings Losses and the Role of the Welfare State During the COVID-19 Pandemic: Evidence from Sweden. SSRN Electronic Journal. 3 indexed citations

5.

Lindquist, Matthew J., Jan Sauermann, & Yves Zénou. (2022). Peer Effects in the Workplace: A Network Approach. SSRN Electronic Journal. 2 indexed citations

6.

Sauermann, Jan & Anders Stenberg. (2020). Assessing Selection Bias in Non-Experimental Estimates of the Returns to Workplace Training. SSRN Electronic Journal. 2 indexed citations

7.

Mengel, Friederike, Jan Sauermann, & Ulf Zölitz. (2018). Gender Bias in Teaching Evaluations. Journal of the European Economic Association. 17(2). 535–566. 230 indexed citations breakdown →

8.

Sauermann, Jan, et al.. (2017). Working hours and productivity. Labour Economics. 47. 96–106. 64 indexed citations

9.

Sauermann, Jan, et al.. (2017). Working Hours and Productivity. SSRN Electronic Journal. 8 indexed citations

10.

Feld, Jan, Jan Sauermann, & Andries de Grip. (2017). Estimating the relationship between skill and overconfidence. Journal of Behavioral and Experimental Economics. 68. 18–24. 34 indexed citations

11.

Grip, Andries de, Jan Sauermann, & Inge Sieben. (2016). The role of peers in estimating tenure-performance profiles: Evidence from personnel data. Journal of Economic Behavior & Organization. 126. 39–54. 16 indexed citations

12.

Lindquist, Matthew J., Jan Sauermann, & Yves Zénou. (2015). Network Effects on Worker Productivity. SSRN Electronic Journal. 6 indexed citations

13.

Sauermann, Jan. (2015). Worker Reciprocity and the Returns to Training: Evidence from a Field Experiment. SSRN Electronic Journal. 4 indexed citations

14.

Dohmen, Thomas & Jan Sauermann. (2015). Referee Bias. SSRN Electronic Journal. 4 indexed citations

15.

Dohmen, Thomas & Jan Sauermann. (2015). REFEREE BIAS. Journal of Economic Surveys. 30(4). 679–695. 105 indexed citations

16.

Grip, Andries de & Jan Sauermann. (2012). The Effects of Training on Own and Co‐worker Productivity: Evidence from a Field Experiment. The Economic Journal. 122(560). 376–399. 70 indexed citations

17.

Grip, Andries de & Jan Sauermann. (2011). The Effects of Training on Own and Co-Worker Productivity: Evidence from a Field Experiment. SSRN Electronic Journal. 10 indexed citations

18.

Grip, Andries de, Didier Fouarge, & Jan Sauermann. (2010). What affects international migration of European science and engineering graduates?. Economics of Innovation and New Technology. 19(5). 407–421. 28 indexed citations

19.

Borghans, Lex, et al.. (2010). What makes a good conference? Analysing the preferences of labour economists. Labour Economics. 17(5). 868–874. 17 indexed citations

20.

Sauermann, Jan. (2006). Who Invests in Training if Contracts are Temporary? Evidence for Germany Using Selection Correction. SSRN Electronic Journal. 12 indexed citations

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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