Amir Pirayesh
- Industrial and Manufacturing Engineering top 5%
- Strategy and Management
- Control and Systems Engineering
- Management Information Systems
- Organizational Behavior and Human Resource Management
- Co-authors
- Mehrdad MohammadiOlga BattaïaDaria BattiniMaryam Karimi-MamaghanAlexandre DolguiHadi Badri AhmadiSeyed Sina MohriPayman Jula
- Topics
- COVID-19 epidemiological studies (4 papers)Advanced Manufacturing and Logistics Optimization (3 papers)Vehicle Routing Optimization Methods (3 papers)
- Cited by
- Industrial and Manufacturing EngineeringBusiness and International ManagementModeling and Simulation
In The Last Decade
Amir Pirayesh
13 papers receiving 267 citations
Peers
Comparison fields: 5 of 65
- Industrial and Manufacturing Engineering 132
- Strategy and Management 50
- Control and Systems Engineering 46
- Management Information Systems 33
- Organizational Behavior and Human Resource Management 23
Countries citing papers authored by Amir Pirayesh
This map shows the geographic impact of Amir Pirayesh'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 Pirayesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Pirayesh more than expected).
Fields of papers citing papers by Amir Pirayesh
This network shows the impact of papers produced by Amir Pirayesh. 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 Pirayesh. The network helps show where Amir Pirayesh may publish in the future.
Co-authorship network of co-authors of Amir Pirayesh
This figure shows the co-authorship network connecting the top 25 collaborators of Amir Pirayesh. A scholar is included among the top collaborators of Amir Pirayesh 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 Pirayesh. Amir Pirayesh 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 | 0 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 82 | |
| 7 | 9 | |
| 8 | 41 | |
| 9 | 14 | |
| 10 | 15 | |
| 11 | 11 | |
| 12 | 10 | |
| 13 | 23 | |
| 14 | 34 | |
| 15 | 28 | |
| 16 | 9 |
About Amir Pirayesh
Amir Pirayesh is a scholar working on Modeling and Simulation, Industrial and Manufacturing Engineering and Management of Technology and Innovation, having authored 16 papers that have together received 283 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), Advanced Manufacturing and Logistics Optimization (3 papers) and Vehicle Routing Optimization Methods (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (132 citations), Business and International Management (9 citations) and Modeling and Simulation (20 citations). Amir Pirayesh has collaborated with scholars based in France, Iran and Italy. Frequent co-authors include Mehrdad Mohammadi, Olga Battaïa, Daria Battini, Maryam Karimi-Mamaghan, Alexandre Dolgui, Hadi Badri Ahmadi, Seyed Sina Mohri, Payman Jula, Vahid Salehi and Michel Gendreau. Their work appears in journals such as European Journal of Operational Research, IEEE Access and International Journal of Production Economics.
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.