Elham Shadkam

539 total citations
40 papers, 385 citations indexed

About

Elham Shadkam is a scholar working on Management Science and Operations Research, Artificial Intelligence and Strategy and Management. According to data from OpenAlex, Elham Shadkam has authored 40 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Management Science and Operations Research, 14 papers in Artificial Intelligence and 7 papers in Strategy and Management. Recurrent topics in Elham Shadkam's work include Metaheuristic Optimization Algorithms Research (12 papers), Efficiency Analysis Using DEA (9 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Elham Shadkam is often cited by papers focused on Metaheuristic Optimization Algorithms Research (12 papers), Efficiency Analysis Using DEA (9 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Elham Shadkam collaborates with scholars based in Iran, Canada and Australia. Elham Shadkam's co-authors include Mirpouya Mirmozaffari, Reza Yazdani, Seyed Mohammad Khalili, Mehdi Bijari, Azam Boskabadi, Maziar Yazdani, Kamyar Kabirifar, Ahmad Sadegheih, Hamid El Bilali and Elnaz Irannezhad and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science and Pollution Research and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Elham Shadkam

38 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elham Shadkam Iran 12 113 66 54 53 52 40 385
Azam Boskabadi United States 7 90 0.8× 67 1.0× 44 0.8× 50 0.9× 29 0.6× 12 485
Hamidreza Izadbakhsh Iran 12 197 1.7× 69 1.0× 25 0.5× 44 0.8× 67 1.3× 48 490
Mansour Zarrin Iran 12 120 1.1× 127 1.9× 37 0.7× 47 0.9× 35 0.7× 17 421
Selvaraj Geetha India 14 223 2.0× 70 1.1× 55 1.0× 32 0.6× 67 1.3× 33 575
Hainan Guo China 11 92 0.8× 75 1.1× 88 1.6× 104 2.0× 27 0.5× 27 450
Zhouquan Zhu China 5 169 1.5× 61 0.9× 53 1.0× 20 0.4× 55 1.1× 7 421
Mahsa Valipour Iran 9 224 2.0× 76 1.2× 97 1.8× 52 1.0× 44 0.8× 9 437
İbrahim Zeki Akyurt Türkiye 6 170 1.5× 55 0.8× 24 0.4× 21 0.4× 44 0.8× 13 324
Santonab Chakraborty India 11 165 1.5× 83 1.3× 33 0.6× 19 0.4× 35 0.7× 22 462
Arash Alizadeh Iran 11 291 2.6× 81 1.2× 31 0.6× 83 1.6× 65 1.3× 14 501

Countries citing papers authored by Elham Shadkam

Since Specialization
Citations

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

Fields of papers citing papers by Elham Shadkam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elham Shadkam

This figure shows the co-authorship network connecting the top 25 collaborators of Elham Shadkam. A scholar is included among the top collaborators of Elham Shadkam 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 Elham Shadkam. Elham Shadkam 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.
Shadkam, Elham & Elnaz Irannezhad. (2025). A comprehensive review of simulation optimization methods in agricultural supply chains and transition towards an agent-based intelligent digital framework for agriculture 4.0. Engineering Applications of Artificial Intelligence. 143. 109930–109930. 11 indexed citations
2.
Shadkam, Elham, et al.. (2024). Design and optimization of a pharmaceutical supply chain network under COVID-19 pandemic disruption. SHILAP Revista de lepidopterología. 5. 102–111. 6 indexed citations
3.
Shadkam, Elham. (2023). A new hybrid method for optimising multi-surface problems: DSM method (power plants of Iran). International Journal of Industrial and Systems Engineering. 43(1). 115–115. 1 indexed citations
4.
Yazdani, Reza, Mirpouya Mirmozaffari, Elham Shadkam, & Seyed Mohammad Khalili. (2023). A lion optimisation algorithm for a two-agent single-machine scheduling with periodic maintenance to minimise the sum of maximum earliness and tardiness. International Journal of Industrial and Systems Engineering. 44(4). 515–531. 4 indexed citations
5.
Shadkam, Elham, et al.. (2023). The hybrid DHP method for evaluation, ranking and selection of green suppliers in the supply chain. International Journal of Mathematics in Operational Research. 25(1). 118–138. 7 indexed citations
6.
Shadkam, Elham. (2022). A novel two-phase algorithm for a centralised production planning problem by symmetric weighted DEA approach: a case study in energy efficiency. European J of Industrial Engineering. 16(6). 732–732. 1 indexed citations
7.
Shadkam, Elham, et al.. (2022). International Journal on Foundations of Computer Science & Technology (IJFCST). Zenodo (CERN European Organization for Nuclear Research).
8.
Shadkam, Elham, et al.. (2022). Prioritization of earthquake relief using a hybrid two-phase approach. SHILAP Revista de lepidopterología. 2 indexed citations
9.
Shadkam, Elham, et al.. (2021). The study of multi-objective supplier selection problem by a novel hybrid method: COA/ε-constraint. SHILAP Revista de lepidopterología. 1 indexed citations
10.
Shadkam, Elham, et al.. (2021). Presentation and implementation multi-objective mathematical models to balance the assembly line. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Shadkam, Elham. (2021). Parameter setting of meta-heuristic algorithms: a new hybrid method based on DEA and RSM. Environmental Science and Pollution Research. 29(15). 22404–22426. 10 indexed citations
12.
Shadkam, Elham. (2021). Multi-objective supplier selection with the new hybrid COAW method. 1(1). 1–1. 1 indexed citations
13.
14.
15.
Mirmozaffari, Mirpouya, et al.. (2021). A novel artificial intelligent approach: comparison of machine learning tools and algorithms based on optimization DEA Malmquist productivity index for eco-efficiency evaluation. International Journal of Energy Sector Management. 15(3). 523–550. 46 indexed citations
16.
Ahmadi, Majid, et al.. (2020). AHP-COA Combined Algorithm for Selecting a Digital Production Machine Design. Journal of Engineering and Applied Sciences. 15(6). 1421–1425.
17.
Parvizi, Mahdi, et al.. (2015). A Hybrid COA/ε-Constraint Method for Solving Multi-Objective Problems. arXiv (Cornell University). 5(5). 27–40. 13 indexed citations
18.
Shadkam, Elham & Mehdi Bijari. (2015). The Optimization of Bank Branches Efficiency by Means of Response Surface Method and Data Envelopment Analysis: A Case of Iran. Journal of Asian Finance Economics and Business. 2(2). 13–18. 11 indexed citations
19.
Shadkam, Elham. (2014). FC Approach in Portfolio Selection of Tehran’s Stock Market. Journal of Asian Finance Economics and Business. 1(2). 31–37. 4 indexed citations
20.
Shadkam, Elham, et al.. (2011). Hat and squeeze functions, a way for making precise algorithms. International Journal of Industrial Engineering Computations. 645–656. 1 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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2026