Nathan J. Ashby
- Sociology and Political Science top 5%
- Economics and Econometrics top 5%
- Information Systems top 10%
- Strategy and Management top 10%
- General Economics, Econometrics and Finance top 10%
- Co-authors
- Russell S. SobelMiguel A. RamosThomas M. FullertonYu LiuStephen Kotok
- Topics
- Corruption and Economic Development (6 papers)Fiscal Policy and Economic Growth (5 papers)Crime, Illicit Activities, and Governance (3 papers)
- Cited by
- Economics and EconometricsSociology and Political ScienceGeneral Economics, Econometrics and Finance
- Partner nations
- United StatesMongolia
In The Last Decade
Nathan J. Ashby
17 papers receiving 458 citations
Peers
Comparison fields: 5 of 50
- Sociology and Political Science 320
- Economics and Econometrics 280
- Information Systems 73
- Strategy and Management 67
- General Economics, Econometrics and Finance 59
Countries citing papers authored by Nathan J. Ashby
This map shows the geographic impact of Nathan J. Ashby'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 Nathan J. Ashby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan J. Ashby more than expected).
Fields of papers citing papers by Nathan J. Ashby
This network shows the impact of papers produced by Nathan J. Ashby. 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 Nathan J. Ashby. The network helps show where Nathan J. Ashby may publish in the future.
Co-authorship network of co-authors of Nathan J. Ashby
This figure shows the co-authorship network connecting the top 25 collaborators of Nathan J. Ashby. A scholar is included among the top collaborators of Nathan J. Ashby 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 Nathan J. Ashby. Nathan J. Ashby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | Mexican migration flows to the United States: The impact of business cycles on unauthorized immigration to the United States | 1 |
| 5 | 8 | |
| 6 | 14 | |
| 7 | 10 | |
| 8 | 48 | |
| 9 | 34 | |
| 10 | 3 | |
| 11 | Economic Freedom of North America 2011 | 46 |
| 12 | 15 | |
| 13 | 41 | |
| 14 | 1 | |
| 15 | Economic Freedom of North America | 82 |
| 16 | 92 | |
| 17 | 107 |
About Nathan J. Ashby
Nathan J. Ashby is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Sociology and Political Science, having authored 17 papers that have together received 508 indexed citations. Recurring topics across this work include Corruption and Economic Development (6 papers), Fiscal Policy and Economic Growth (5 papers) and Crime, Illicit Activities, and Governance (3 papers). The work is most often cited by research in Economics and Econometrics (280 citations), Sociology and Political Science (320 citations) and General Economics, Econometrics and Finance (59 citations). Nathan J. Ashby has collaborated with scholars based in United States and Mongolia. Frequent co-authors include Russell S. Sobel, Miguel A. Ramos, Thomas M. Fullerton, Yu Liu and Stephen Kotok. Their work appears in journals such as Journal of Economic Behavior & Organization, Southern Economic Journal and Public Choice.
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.