Stephen V. Cameron
- Sociology and Political Science top 2%
- Economics and Econometrics top 1%
- Education top 1%
- Accounting top 5%
- Gender Studies top 2%
- Co-authors
- James J. HeckmanChristopher TaberKevin R. HolmeJohn McLarenShubham ChaudhuriRobert Moffitt
- Topics
- School Choice and Performance (4 papers)Intergenerational and Educational Inequality Studies (3 papers)Fiscal Policy and Economic Growth (3 papers)
- Journals
- Journal of Political EconomyJournal of Labor EconomicsColumbia Academic Commons (Columbia University)
- Partner nations
- United StatesJapan
In The Last Decade
Stephen V. Cameron
11 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Sociology and Political Science 931
- Economics and Econometrics 924
- Education 835
- Accounting 306
- Gender Studies 264
Countries citing papers authored by Stephen V. Cameron
This map shows the geographic impact of Stephen V. Cameron'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 Stephen V. Cameron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen V. Cameron more than expected).
Fields of papers citing papers by Stephen V. Cameron
This network shows the impact of papers produced by Stephen V. Cameron. 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 Stephen V. Cameron. The network helps show where Stephen V. Cameron may publish in the future.
Co-authorship network of co-authors of Stephen V. Cameron
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen V. Cameron. A scholar is included among the top collaborators of Stephen V. Cameron 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 Stephen V. Cameron. Stephen V. Cameron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Estimation of Educational Borrowing Constraints Using Returns to Schooling | 17 |
| 2 | 306 | |
| 3 | 2 | |
| 4 | Summary of Observations and Recommendations | 1 |
| 5 | The Dynamics of Educational Attainment for Black, Hispanic, and White Malesbreakdown → | 587 |
| 6 | Borrowing Constraints and the Returns to Schooling | 33 |
| 7 | Life Cycle Schooling and Dynamic Selection Bias: Models and Evidence for Five Cohorts of American Malesbreakdown → | 669 |
| 8 | Three essays on the economics of education | 1 |
| 9 | Determinants of Young Males' Schooling and Training Choices | 4 |
| 10 | 272 | |
| 11 | 6 |
About Stephen V. Cameron
Stephen V. Cameron is a scholar working on Accounting, Education and Economics and Econometrics, having authored 11 papers that have together received 1.9k indexed citations. Recurring topics across this work include School Choice and Performance (4 papers), Intergenerational and Educational Inequality Studies (3 papers) and Fiscal Policy and Economic Growth (3 papers). The work is most often cited by research in Economics and Econometrics (924 citations), Education (835 citations) and Gender Studies (264 citations). Stephen V. Cameron has collaborated with scholars based in United States and Japan. Frequent co-authors include James J. Heckman, Christopher Taber, Kevin R. Holme, John McLaren, Shubham Chaudhuri and Robert Moffitt. Their work appears in journals such as Journal of Political Economy, Journal of Labor Economics and Columbia Academic Commons (Columbia University).
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.