Amir Aghsami

1.8k total citations
96 papers, 1.2k citations indexed

About

Amir Aghsami is a scholar working on Strategy and Management, Management Information Systems and Industrial and Manufacturing Engineering. According to data from OpenAlex, Amir Aghsami has authored 96 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Strategy and Management, 30 papers in Management Information Systems and 28 papers in Industrial and Manufacturing Engineering. Recurrent topics in Amir Aghsami's work include Sustainable Supply Chain Management (29 papers), Supply Chain and Inventory Management (21 papers) and Facility Location and Emergency Management (21 papers). Amir Aghsami is often cited by papers focused on Sustainable Supply Chain Management (29 papers), Supply Chain and Inventory Management (21 papers) and Facility Location and Emergency Management (21 papers). Amir Aghsami collaborates with scholars based in Iran, United States and Türkiye. Amir Aghsami's co-authors include Fariborz Jolai, Masoud Rabbani, Alireza Bakhshi, Maziar Yazdani, Abdollah Aghaie, Mohammad Sheikhalishahi, A. Azadeh, Mohammad Mahdi Nasiri, Ebrahim Hazrati and Mohsen Rabbani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Expert Systems with Applications.

In The Last Decade

Amir Aghsami

91 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amir Aghsami Iran 20 482 381 341 270 151 96 1.2k
Esmaeil Keyvanshokooh United States 10 854 1.8× 609 1.6× 180 0.5× 143 0.5× 136 0.9× 18 1.2k
Saeed Yaghoubi Iran 23 528 1.1× 407 1.1× 242 0.7× 166 0.6× 108 0.7× 87 1.3k
Behzad Zahiri Iran 16 774 1.6× 575 1.5× 371 1.1× 391 1.4× 112 0.7× 18 1.6k
Samir Elhedhli Canada 24 667 1.4× 361 0.9× 780 2.3× 374 1.4× 171 1.1× 61 2.0k
Onur Kaya Türkiye 18 584 1.2× 500 1.3× 303 0.9× 96 0.4× 82 0.5× 48 1.2k
Carlos Julio Vidal Holguín Colombia 11 701 1.5× 746 2.0× 524 1.5× 177 0.7× 185 1.2× 40 1.5k
Mohammad Mohammadi Iran 21 419 0.9× 431 1.1× 750 2.2× 96 0.4× 78 0.5× 116 1.5k
Mohammad Fattahi Iran 20 1.4k 2.9× 912 2.4× 306 0.9× 187 0.7× 155 1.0× 32 2.0k
Armand Baboli France 21 516 1.1× 444 1.2× 716 2.1× 104 0.4× 143 0.9× 60 1.4k
Mohammad Mahdi Nasiri Iran 22 217 0.5× 142 0.4× 490 1.4× 96 0.4× 140 0.9× 84 1.3k

Countries citing papers authored by Amir Aghsami

Since Specialization
Citations

This map shows the geographic impact of Amir Aghsami'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 Aghsami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Aghsami more than expected).

Fields of papers citing papers by Amir Aghsami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amir Aghsami. 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 Aghsami. The network helps show where Amir Aghsami may publish in the future.

Co-authorship network of co-authors of Amir Aghsami

This figure shows the co-authorship network connecting the top 25 collaborators of Amir Aghsami. A scholar is included among the top collaborators of Amir Aghsami 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 Aghsami. Amir Aghsami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Aghsami, Amir, et al.. (2024). Supply Chains Problem During Crises: A Data-Driven Approach. SHILAP Revista de lepidopterología. 5(4). 2001–2039. 4 indexed citations
2.
3.
Rabbani, Masoud, et al.. (2024). Multi-objective optimization for a green forward-reverse meat supply chain network design under uncertainty: Utilizing waste and by-products. Computers & Industrial Engineering. 197. 110578–110578. 9 indexed citations
4.
Sobhani, Vahid, et al.. (2024). Augmented data strategies for enhanced computer vision performance in breast cancer diagnosis. Journal of Ambient Intelligence and Humanized Computing. 15(7). 3093–3106. 2 indexed citations
5.
Aghsami, Amir, et al.. (2024). Advanced Queueing and Location-Allocation Strategies for Sustainable Food Supply Chain. SHILAP Revista de lepidopterología. 8(3). 91–91. 3 indexed citations
6.
7.
Aghsami, Amir, et al.. (2024). Selecting the best way to forecast income in the banking industry using data mining methods, a case study. OPSEARCH. 62(3). 1383–1422. 1 indexed citations
8.
Aghsami, Amir, et al.. (2023). Developing a supervised learning-based simulation method as a decision support tool for rebalancing problems in bike-sharing systems. Expert Systems with Applications. 233. 120983–120983. 7 indexed citations
9.
Aghsami, Amir, et al.. (2023). Designing a post-disaster humanitarian supply chain using machine learning and multi-criteria decision-making techniques. Kybernetes. 53(5). 1682–1709. 16 indexed citations
10.
Aghsami, Amir, et al.. (2023). Portfolio design for home healthcare devices production using a new data-driven optimization methodology. Soft Computing. 28(7-8). 5765–5784. 3 indexed citations
11.
Aghsami, Amir, et al.. (2023). Analysing a queueing network of the emergency department with deteriorating health in post-disaster situations. International Journal of Operational Research. 48(3). 397–428. 1 indexed citations
12.
Aghsami, Amir, et al.. (2023). A Hybrid Approach to Sustainable Supplier Selection and Order Allocation Considering Quality Policies and Demand Forecasting: A Real-Life Case Study. Process Integration and Optimization for Sustainability. 8(1). 39–69. 9 indexed citations
13.
Aghsami, Amir, et al.. (2023). A heterogeneous electric taxi fleet routing problem with recharging stations to maximize the company’s profit. RAIRO. Operations research. 57(2). 459–479. 5 indexed citations
14.
Bakhshi, Alireza, et al.. (2022). Does a Buyback Contract Coordinate a Reverse Supply Chain Facing Remanufacturing Capacity Disruption and Returned Product Quality Uncertainty?. Sustainability. 14(23). 15939–15939. 10 indexed citations
15.
Aghsami, Amir, et al.. (2022). A G/M/C//M queueing model for revenue management of shovel-truck systems in an open-pit mine considering carbon emission, a case study. International Journal of Management Science and Engineering Management. 18(2). 88–103. 10 indexed citations
16.
Aghsami, Amir, et al.. (2022). Prioritizing and queueing the emergency departments’ patients using a novel data-driven decision-making methodology, a real case study. Expert Systems with Applications. 195. 116568–116568. 36 indexed citations
17.
Aghsami, Amir, et al.. (2022). Statistical analysis of blood characteristics of COVID-19 patients and their survival or death prediction using machine learning algorithms. Neural Computing and Applications. 34(17). 14729–14743. 7 indexed citations
18.
Aghsami, Amir, et al.. (2021). Data envelopment analysis for estimate efficiency and ranking operating rooms: a case study. SHILAP Revista de lepidopterología. 6 indexed citations
19.
Aghsami, Amir, et al.. (2021). Designing a Green Closed-Loop Supply Chain Network for the automotive tire industry under uncertainty. Journal of industrial and systems engineering.. 13(4). 226–261. 1 indexed citations
20.
Aghsami, Amir, et al.. (2019). Designing Humanitarian Relief Supply Chains by Considering the Reliability of Route, Repair Groups and Monitoring Route. AYBU AVESIS. 53(4). 93–126. 7 indexed citations

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.

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