John Ermisch
Impact in
- Gender Studies top 0.2%
- Gender, Labor, and Family Dynamics
- Demographic Trends and Gender Preferences
- Demography top 0.1%
- Family Dynamics and Relationships
Papers in
-
- Gender, Labor, and Family Dynamics 52
- Demography 51
- Family Dynamics and Relationships 34
- Co-authors
- Marco Francesconi (15 shared papers)Robert Edward Wright (12 shared papers)Diego Gambetta (4 shared papers)Thomas Siedler (3 shared papers)David J. Pevalin (4 shared papers)Alessandro Cigno (1 shared paper)Naohiro Ogawa (4 shared papers)Cheti Nicoletti (1 shared paper)
- Journals
- Population Studies (14 papers)Journal of Population Economics (7 papers)Scottish Journal of Political Economy (6 papers)National Institute Economic Review (5 papers)The Economic Journal (4 papers)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
John Ermisch
136 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 108
- Gender Studies 1.5k
- Demography 1.6k
- Sociology and Political Science 2.4k
- Finance 428
- Economics and Econometrics 1.1k
Countries citing papers authored by John Ermisch
This map shows the geographic impact of John Ermisch'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 John Ermisch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Ermisch more than expected).
Fields of papers citing papers by John Ermisch
This network shows the impact of papers produced by John Ermisch. 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 John Ermisch. The network helps show where John Ermisch may publish in the future.
Co-authors
The 25 scholars most cited alongside John Ermisch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 240 | |
| 2 | 1999 | 187 | |
| 3 | 2001 | 146 | |
| 4 | 2003 | 125 | |
| 5 | 2008 | 122 | |
| 6 | 2009 | 119 | |
| 7 | 1989 | 119 | |
| 8 | 2010 | 112 | |
| 9 | 2021 | 110 | |
| 10 | 2003 | 107 | |
| 11 | 2006 | 104 | |
| 12 | 1997 | 102 | |
| 13 | 1989 | 101 | |
| 14 | 2000 | 95 | |
| 15 | 1984 | 92 | |
| 16 | 1993 | 92 | |
| 17 | 2008 | 91 | |
| 18 | 1991 | 86 | |
| 19 | 1996 | 85 | |
| 20 | 1988 | 83 |
About John Ermisch
John Ermisch is a scholar working on Gender Studies, Demography, Sociology and Political Science, Economics and Econometrics and Finance, having authored 143 papers that have together received 4.4k indexed citations. Recurring topics across this work include Gender, Labor, and Family Dynamics (52 papers), Family Dynamics and Relationships (34 papers), Intergenerational Family Dynamics and Caregiving (24 papers), Intergenerational and Educational Inequality Studies (16 papers), Housing, Finance, and Neoliberalism (14 papers), demographic modeling and climate adaptation (14 papers), Financial Literacy, Pension, Retirement Analysis (12 papers) and Housing Market and Economics (12 papers). The work is most often cited by research in Gender Studies (1.5k citations), Demography (1.6k citations), Sociology and Political Science (2.4k citations), Finance (428 citations) and Economics and Econometrics (1.1k citations). John Ermisch has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Marco Francesconi, Robert Edward Wright, Diego Gambetta, Thomas Siedler, David J. Pevalin, Alessandro Cigno, Naohiro Ogawa, Cheti Nicoletti, Valerie Kincade Oppenheimer and Tak Wing Chan. Their work appears in journals such as Population Studies, Journal of Population Economics, Scottish Journal of Political Economy, National Institute Economic Review and The Economic Journal.
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.