Gian S. Sahota
- Economics and Econometrics top 5%
- Sociology and Political Science top 10%
- General Agricultural and Biological Sciences top 5%
- Management Science and Operations Research
- Soil Science
- Co-authors
- Theodore W. Schultz
- Topics
- Fiscal Policy and Economic Growth (4 papers)Economic Growth and Productivity (3 papers)Income, Poverty, and Inequality (2 papers)
- Cited by
- Economics and EconometricsGeneral Agricultural and Biological SciencesSociology and Political Science
- Journals
- Journal of Political EconomyThe Review of Economics and StatisticsJournal of Economic Literature
- Partner nations
- United StatesBrazil
In The Last Decade
Gian S. Sahota
16 papers receiving 223 citations
Peers
Comparison fields: 5 of 52
- Economics and Econometrics 160
- Sociology and Political Science 152
- General Agricultural and Biological Sciences 46
- Management Science and Operations Research 31
- Soil Science 31
Countries citing papers authored by Gian S. Sahota
This map shows the geographic impact of Gian S. Sahota'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 Gian S. Sahota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gian S. Sahota more than expected).
Fields of papers citing papers by Gian S. Sahota
This network shows the impact of papers produced by Gian S. Sahota. 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 Gian S. Sahota. The network helps show where Gian S. Sahota may publish in the future.
Co-authorship network of co-authors of Gian S. Sahota
This figure shows the co-authorship network connecting the top 25 collaborators of Gian S. Sahota. A scholar is included among the top collaborators of Gian S. Sahota 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 Gian S. Sahota. Gian S. Sahota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Theories of Personal Income Distribution: A Survey | 29 |
| 2 | 14 | |
| 3 | Income Distribution: Theory, Modeling, and Case Study of Brazil | 4 |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | Brazilian economic policy: An optimal control theory analysis | 3 |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | Three essays in Brazilian public finance | 1 |
| 12 | Fertilizer in economic development: an econometric analysis. | 3 |
| 13 | 56 | |
| 14 | 158 | |
| 15 | 1 | |
| 16 | 3 |
About Gian S. Sahota
Gian S. Sahota is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and General Agricultural and Biological Sciences, having authored 16 papers that have together received 292 indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (4 papers), Economic Growth and Productivity (3 papers) and Income, Poverty, and Inequality (2 papers). The work is most often cited by research in Economics and Econometrics (160 citations), General Agricultural and Biological Sciences (46 citations) and Sociology and Political Science (152 citations). Gian S. Sahota has collaborated with scholars based in United States and Brazil. Frequent co-authors include Theodore W. Schultz. Their work appears in journals such as Journal of Political Economy, The Review of Economics and Statistics and Journal of Economic Literature.
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.