Amir Shabani
- Strategy and Management top 5%
- Management Science and Operations Research top 2%
- Management Information Systems top 5%
- Economics and Econometrics top 10%
- Food Science top 10%
- Co-authors
- Reza Farzipoor SaenShashi ShashiRajwinder SinghRoberto CerchionePiera CentobelliKamran RashidiMajid AzadiJohn Zelek
- Topics
- Efficiency Analysis Using DEA (17 papers)Sustainable Supply Chain Management (9 papers)Quality and Supply Management (8 papers)
- Cited by
- Management Science and Operations ResearchStrategy and ManagementManagement Information Systems
- Partner nations
- IranCanadaNetherlands
In The Last Decade
Amir Shabani
34 papers receiving 761 citations
Peers
Comparison fields: 5 of 80
- Strategy and Management 352
- Management Science and Operations Research 299
- Management Information Systems 157
- Economics and Econometrics 133
- Food Science 133
Countries citing papers authored by Amir Shabani
This map shows the geographic impact of Amir Shabani'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 Amir Shabani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Shabani more than expected).
Fields of papers citing papers by Amir Shabani
This network shows the impact of papers produced by Amir Shabani. 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 Amir Shabani. The network helps show where Amir Shabani may publish in the future.
Co-authorship network of co-authors of Amir Shabani
This figure shows the co-authorship network connecting the top 25 collaborators of Amir Shabani. A scholar is included among the top collaborators of Amir Shabani 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 Amir Shabani. Amir Shabani 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 | 12 | |
| 3 | Supply Chain Networks: Quantitative Models for Measuring Performance | 1 |
| 4 | 0 | |
| 5 | 26 | |
| 6 | 22 | |
| 7 | 9 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 25 | |
| 11 | 6 | |
| 12 | 24 | |
| 13 | 13 | |
| 14 | 14 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 14 | |
| 18 | 2 | |
| 19 | 58 | |
| 20 | 2 |
About Amir Shabani
Amir Shabani is a scholar working on Management Science and Operations Research, Management Information Systems and Strategy and Management, having authored 36 papers that have together received 789 indexed citations. Recurring topics across this work include Efficiency Analysis Using DEA (17 papers), Sustainable Supply Chain Management (9 papers) and Quality and Supply Management (8 papers). The work is most often cited by research in Management Science and Operations Research (299 citations), Strategy and Management (352 citations) and Management Information Systems (157 citations). Amir Shabani has collaborated with scholars based in Iran, Canada and Netherlands. Frequent co-authors include Reza Farzipoor Saen, Shashi Shashi, Rajwinder Singh, Roberto Cerchione, Piera Centobelli, Kamran Rashidi, Majid Azadi, John Zelek, David A. Clausi and Madjid Tavana. Their work appears in journals such as Journal of Cleaner Production, International Journal of Production Economics and Omega.
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.