Philippe Van Kerm
- Economics and Econometrics top 2%
- Sociology and Political Science top 5%
- General Health Professions top 5%
- Finance top 5%
- Accounting top 10%
- Co-authors
- Stephen P. JenkinsVincent A. HildebrandFrank CowellChung ChoeJavier OliveraBrian NolanJuan Carlos PalominoSalvatore Morelli
- Topics
- Income, Poverty, and Inequality (31 papers)Labor market dynamics and wage inequality (15 papers)Financial Literacy, Pension, Retirement Analysis (10 papers)
- Partner nations
- LuxembourgUnited KingdomGermany
In The Last Decade
Philippe Van Kerm
69 papers receiving 811 citations
Peers
Comparison fields: 5 of 113
- Economics and Econometrics 404
- Sociology and Political Science 392
- General Health Professions 196
- Finance 112
- Accounting 97
Countries citing papers authored by Philippe Van Kerm
This map shows the geographic impact of Philippe Van Kerm'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 Philippe Van Kerm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Van Kerm more than expected).
Fields of papers citing papers by Philippe Van Kerm
This network shows the impact of papers produced by Philippe Van Kerm. 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 Philippe Van Kerm. The network helps show where Philippe Van Kerm may publish in the future.
Co-authorship network of co-authors of Philippe Van Kerm
This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Van Kerm. A scholar is included among the top collaborators of Philippe Van Kerm 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 Philippe Van Kerm. Philippe Van Kerm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | COVID-19 and society: mobilizing scientific expertise during the pandemic | 1 |
| 6 | SGINI: Stata module to compute Generalized Gini and Concentration coefficients, Gini correlations and fractional ranks | 2 |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 30 | |
| 10 | 1 | |
| 11 | Les inégalités de salaire | 1 |
| 12 | 29 | |
| 13 | 51 | |
| 14 | 15 | |
| 15 | Has income growth in Britain become more pro-poor? | 3 |
| 16 | 4 | |
| 17 | 5 | |
| 18 | 2 | |
| 19 | Generalized Lorenz curves and related graphs | 1 |
| 20 | Simple and Multiple Correspondence Analysis in Stata | 9 |
About Philippe Van Kerm
Philippe Van Kerm is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Gender Studies, having authored 73 papers that have together received 887 indexed citations. Recurring topics across this work include Income, Poverty, and Inequality (31 papers), Labor market dynamics and wage inequality (15 papers) and Financial Literacy, Pension, Retirement Analysis (10 papers). The work is most often cited by research in Economics and Econometrics (404 citations), Finance (112 citations) and General Economics, Econometrics and Finance (86 citations). Philippe Van Kerm has collaborated with scholars based in Luxembourg, United Kingdom and Germany. Frequent co-authors include Stephen P. Jenkins, Vincent A. Hildebrand, Frank Cowell, Chung Choe, Javier Olivera, Brian Nolan, Juan Carlos Palomino, Salvatore Morelli, Berkay Özcan and Dónal O’Neill. Their work appears in journals such as Journal of Public Economics, Demography and Economica.
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.