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.
An Anatomy of International Trade: Evidence From French Firms
Countries citing papers authored by Françis Kramarz
Since
Specialization
Citations
This map shows the geographic impact of Françis Kramarz'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 Françis Kramarz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Françis Kramarz more than expected).
This network shows the impact of papers produced by Françis Kramarz. 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 Françis Kramarz. The network helps show where Françis Kramarz may publish in the future.
Co-authorship network of co-authors of Françis Kramarz
This figure shows the co-authorship network connecting the top 25 collaborators of Françis Kramarz.
A scholar is included among the top collaborators of Françis Kramarz 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 Françis Kramarz. Françis Kramarz 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
1.
Rouziès, Dominique, et al.. (2023). How do firms value sales career paths?. Journal of the Academy of Marketing Science. 52(3). 762–788.3 indexed citations
2.
Eliason, Marcus, Lena Hensvik, Françis Kramarz, & Oskar Nordström Skans. (2017). The Causal Impact of Social Connections on Firms' Outcomes. Econstor (Econstor).2 indexed citations
Kramarz, Françis. (2011). Employment and Trade in France: A Firm-Level View (1995-2004).4 indexed citations
6.
Kramarz, Françis & Oskar Nordström Skans. (2011). When Strong Ties are Strong: Networks and Youth Labor Market Entry. Econstor (Econstor).8 indexed citations
7.
Abowd, John M. & Françis Kramarz. (2010). Human Capital and Worker Productivity: Direct Evidence from LInk Employer-Employee Data. Annals of Economics and Statistics. 323–338.4 indexed citations
Abowd, John M., et al.. (2009). A Formal Test of Assortative Matching in the Labor Market. RePEc: Research Papers in Economics.1 indexed citations
10.
Kramarz, Françis & David Thesmar. (2006). Social Networks in the Boardroom. RePEc: Research Papers in Economics.21 indexed citations
11.
Kramarz, Françis, Joshua D. Angrist, David M. Blau, et al.. (2006). How to do empirical economics. Investigación Económica. 30(2). 179–206.2 indexed citations
Bénabou, Roland, et al.. (2004). Zones d'éducation prioritaire: quels moyens pour quels résultats? Une évaluation sur la periode 1982-1992. Economie et Statistique / Economics and Statistics. 3–34.12 indexed citations
14.
Kramarz, Françis, et al.. (2004). The Shape of Hiring and Separation Costs. Econstor (Econstor).4 indexed citations
Abowd, John M., Françis Kramarz, David Margolis, & Thomas Philippon. (2000). The Tail of Two Countries: Minimum Wages and Employment in France and the United States. RePEc: Research Papers in Economics.9 indexed citations
Abowd, John M. & Françis Kramarz. (1997). Internal and External Labor Markets: An Analysis of Matched Longitudinal Employer-Employee Data. National Bureau of Economic Research. 357–370.1 indexed citations
20.
Kramarz, Françis, et al.. (1996). Wage Inequalities and Firm-Specific Compensation Policies in France. Annals of Economics and Statistics. 369–386.31 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.