Wiji Arulampalam
- Economics and Econometrics top 0.5%
- General Health Professions top 1%
- Sociology and Political Science top 2%
- Gender Studies top 0.5%
- Political Science and International Relations top 1%
- Co-authors
- Alison L. BoothMark L. BryanMark B. StewartRobin NaylorJeremy SmithAmrita DhillonBhaskar DuttaSugato Dasgupta
- Topics
- Labor market dynamics and wage inequality (22 papers)Gender, Labor, and Family Dynamics (10 papers)Employment and Welfare Studies (8 papers)
- Partner nations
- United KingdomGermanyAustralia
In The Last Decade
Wiji Arulampalam
60 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Economics and Econometrics 2.0k
- General Health Professions 952
- Sociology and Political Science 740
- Gender Studies 620
- Political Science and International Relations 501
Countries citing papers authored by Wiji Arulampalam
This map shows the geographic impact of Wiji Arulampalam'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 Wiji Arulampalam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wiji Arulampalam more than expected).
Fields of papers citing papers by Wiji Arulampalam
This network shows the impact of papers produced by Wiji Arulampalam. 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 Wiji Arulampalam. The network helps show where Wiji Arulampalam may publish in the future.
Co-authorship network of co-authors of Wiji Arulampalam
This figure shows the co-authorship network connecting the top 25 collaborators of Wiji Arulampalam. A scholar is included among the top collaborators of Wiji Arulampalam 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 Wiji Arulampalam. Wiji Arulampalam 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 | 54 | |
| 3 | How do taxes affect cross-border acquisitions? | 1 |
| 4 | 41 | |
| 5 | 21 | |
| 6 | Electoral Goals and Center-State Transfers: A Theoretical Model and Empirical Evidence from India | 14 |
| 7 | 73 | |
| 8 | 5 | |
| 9 | Training and the New Minimum Wage | 4 |
| 10 | Are There Asymmetries in the Effects of Training on the Conditional Male Wage Distribution | 3 |
| 11 | 95 | |
| 12 | 36 | |
| 13 | Training in Europe | 12 |
| 14 | 64 | |
| 15 | 15 | |
| 16 | 238 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 29 | |
| 20 | 99 |
About Wiji Arulampalam
Wiji Arulampalam is a scholar working on Gender Studies, Economics and Econometrics and Public Administration, having authored 62 papers that have together received 3.3k indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (22 papers), Gender, Labor, and Family Dynamics (10 papers) and Employment and Welfare Studies (8 papers). The work is most often cited by research in Economics and Econometrics (2.0k citations), Gender Studies (620 citations) and Public Administration (178 citations). Wiji Arulampalam has collaborated with scholars based in United Kingdom, Germany and Australia. Frequent co-authors include Alison L. Booth, Mark L. Bryan, Mark B. Stewart, Robin Naylor, Jeremy Smith, Amrita Dhillon, Bhaskar Dutta, Sugato Dasgupta, Michael Devereux and Mary Gregory. Their work appears in journals such as The Economic Journal, The Review of Economics and Statistics and Journal of Econometrics.
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.