Amin Mugera
- General Agricultural and Biological Sciences top 0.5%
- Economics and Econometrics top 5%
- Soil Science top 5%
- Management Science and Operations Research top 5%
- Plant Science
- Co-authors
- Steven SchilizziMuhammad Masood AzeemMichael R. LangemeierTamer El‐ShaterYigezu A. YigezuMichael BurtonC. PigginAden Aw‐Hassan
- Topics
- Agricultural Innovations and Practices (22 papers)Efficiency Analysis Using DEA (20 papers)Agricultural Economics and Policy (10 papers)
- Cited by
- General Agricultural and Biological SciencesSoil ScienceBusiness and International Management
- Journals
- Technological Forecasting and Social ChangeSustainabilityJournal of the Science of Food and Agriculture
- Partner nations
- AustraliaPakistanUnited States
In The Last Decade
Amin Mugera
65 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 105
- General Agricultural and Biological Sciences 387
- Economics and Econometrics 261
- Soil Science 235
- Management Science and Operations Research 211
- Plant Science 134
Countries citing papers authored by Amin Mugera
This map shows the geographic impact of Amin Mugera'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 Amin Mugera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amin Mugera more than expected).
Fields of papers citing papers by Amin Mugera
This network shows the impact of papers produced by Amin Mugera. 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 Amin Mugera. The network helps show where Amin Mugera may publish in the future.
Co-authorship network of co-authors of Amin Mugera
This figure shows the co-authorship network connecting the top 25 collaborators of Amin Mugera. A scholar is included among the top collaborators of Amin Mugera 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 Amin Mugera. Amin Mugera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 7 | |
| 9 | 11 | |
| 10 | 12 | |
| 11 | A Dynamic Optimization Model of Agricultural Lime Application | 1 |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 56 | |
| 15 | 30 | |
| 16 | 15 | |
| 17 | 16 | |
| 18 | 39 | |
| 19 | 18 | |
| 20 | 4 |
About Amin Mugera
Amin Mugera is a scholar working on General Agricultural and Biological Sciences, Soil Science and Management Science and Operations Research, having authored 66 papers that have together received 1.1k indexed citations. Recurring topics across this work include Agricultural Innovations and Practices (22 papers), Efficiency Analysis Using DEA (20 papers) and Agricultural Economics and Policy (10 papers). The work is most often cited by research in General Agricultural and Biological Sciences (387 citations), Soil Science (235 citations) and Business and International Management (42 citations). Amin Mugera has collaborated with scholars based in Australia, Pakistan and United States. Frequent co-authors include Steven Schilizzi, Muhammad Masood Azeem, Michael R. Langemeier, Tamer El‐Shater, Yigezu A. Yigezu, Michael Burton, C. Piggin, Aden Aw‐Hassan, Yaseen Khalil and Stephen Loss. Their work appears in journals such as Technological Forecasting and Social Change, Sustainability and Journal of the Science of Food and Agriculture.
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.