Nina Smith
Impact in
- Gender Studies top 0.5%
- Gender, Labor, and Family Dynamics
- Gender Diversity and Inequality
- Demography top 1%
Papers in
-
- Gender, Labor, and Family Dynamics 17
- Gender Diversity and Inequality 12
-
- Labor market dynamics and wage inequality 15
- Fiscal Policy and Economic Growth 7
- Co-authors
- Nabanita Datta Gupta (7 shared papers)Peder J. Pedersen (8 shared papers)Mariola Pytlíková (2 shared papers)Mette Verner (4 shared papers)Helena Skyt Nielsen (6 shared papers)Michael Rosholm (4 shared papers)Leif Husted (4 shared papers)Peter M Jensen (1 shared paper)
- Journals
- Journal of Population Economics (4 papers)Oxford Economic Papers (2 papers)Scandinavian Journal of Economics (2 papers)Industrial and Labor Relations Review (2 papers)Economics of Education Review (1 paper)
- Partner nations
- DenmarkGermanyUnited States
In The Last Decade
Nina Smith
52 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 94
- Gender Studies 670
- Demography 298
- Economics and Econometrics 576
- Sociology and Political Science 901
- Accounting 205
Countries citing papers authored by Nina Smith
This map shows the geographic impact of Nina Smith'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 Nina Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Smith more than expected).
Fields of papers citing papers by Nina Smith
This network shows the impact of papers produced by Nina Smith. 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 Nina Smith. The network helps show where Nina Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Nina Smith, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 286 | |
| 2 | 2008 | 153 | |
| 3 | 2002 | 138 | |
| 4 | 1990 | 89 | |
| 5 | 2003 | 85 | |
| 6 | 2001 | 84 | |
| 7 | 2015 | 75 | |
| 8 | 2006 | 71 | |
| 9 | 2013 | 69 | |
| 10 | 2000 | 51 | |
| 11 | 2011 | 50 | |
| 12 | 2004 | 46 | |
| 13 | 1990 | 44 | |
| 14 | 1995 | 32 | |
| 15 | 2018 | 30 | |
| 16 | 2011 | 26 | |
| 17 | 2001 | 25 | |
| 18 | 2014 | 25 | |
| 19 | 2003 | 25 | |
| 20 | 2018 | 22 |
About Nina Smith
Nina Smith is a scholar working on Gender Studies, Economics and Econometrics, Accounting, Demography and Sociology and Political Science, having authored 60 papers that have together received 1.7k indexed citations. Recurring topics across this work include Gender, Labor, and Family Dynamics (17 papers), Labor market dynamics and wage inequality (15 papers), Gender Diversity and Inequality (12 papers), Fiscal Policy and Economic Growth (7 papers), Corporate Finance and Governance (7 papers), Migration and Labor Dynamics (6 papers), Social Policy and Reform Studies (5 papers) and Retirement, Disability, and Employment (5 papers). The work is most often cited by research in Gender Studies (670 citations), Demography (298 citations), Economics and Econometrics (576 citations), Sociology and Political Science (901 citations) and Accounting (205 citations). Nina Smith has collaborated with scholars based in Denmark, Germany and United States. Frequent co-authors include Nabanita Datta Gupta, Peder J. Pedersen, Mariola Pytlíková, Mette Verner, Helena Skyt Nielsen, Michael Rosholm, Leif Husted, Peter M Jensen, Valdemar Smith and Pierpaolo Parrotta. Their work appears in journals such as Journal of Population Economics, Oxford Economic Papers, Scandinavian Journal of Economics, Industrial and Labor Relations Review and Economics of Education Review.
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.