Iman Rahimi

1.1k total citations · 1 hit paper
35 papers, 680 citations indexed

About

Iman Rahimi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Iman Rahimi has authored 35 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Iman Rahimi's work include Advanced Multi-Objective Optimization Algorithms (7 papers), Hybrid Renewable Energy Systems (6 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Iman Rahimi is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (7 papers), Hybrid Renewable Energy Systems (6 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Iman Rahimi collaborates with scholars based in Australia, Iran and Malaysia. Iman Rahimi's co-authors include Amir H. Gandomi, Chen Fang, Mohammad Reza Nikoo, Fang Chen, Efrén Mezura‐Montes, Fang Chen, Panagiotis G. Asteris, Kalyanmoy Deb, Javad Nematian and Hamid R. Safavi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Iman Rahimi

32 papers receiving 653 citations

Hit Papers

A review on COVID-19 forecasting models 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A review on COVID-19 forecasting models
    2021 165 citations Iman Rahimi, Chen Fang et al. Neural Computing and Applications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iman Rahimi Australia 12 175 135 78 77 72 35 680
Rodrigo Silva Brazil 14 203 1.2× 296 2.2× 112 1.4× 242 3.1× 209 2.9× 45 944
Mohsen Maleki Iran 19 207 1.2× 400 3.0× 20 0.3× 110 1.4× 49 0.7× 57 1.0k
Abbas Sharifi Iran 18 314 1.8× 251 1.9× 10 0.1× 276 3.6× 56 0.8× 33 1.2k
Amal I. Saba Egypt 8 150 0.9× 169 1.3× 11 0.1× 179 2.3× 48 0.7× 8 474
Graziana Cavone Italy 20 76 0.4× 50 0.4× 58 0.7× 40 0.5× 277 3.8× 81 1.2k
Imran Mahmood Pakistan 14 42 0.2× 56 0.4× 32 0.4× 26 0.3× 110 1.5× 46 532
Sina Shaffiee Haghshenas Italy 24 164 0.9× 132 1.0× 13 0.2× 137 1.8× 63 0.9× 70 1.5k
Ali Ala China 17 14 0.1× 121 0.9× 55 0.7× 34 0.4× 91 1.3× 44 958
Nicola Epicoco Italy 19 79 0.5× 65 0.5× 40 0.5× 9 0.1× 53 0.7× 53 966
Hossein Hashemi Doulabi Canada 9 44 0.3× 46 0.3× 13 0.2× 19 0.2× 22 0.3× 12 339

Countries citing papers authored by Iman Rahimi

Since Specialization
Citations

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

Fields of papers citing papers by Iman Rahimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iman Rahimi

This figure shows the co-authorship network connecting the top 25 collaborators of Iman Rahimi. A scholar is included among the top collaborators of Iman Rahimi 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 Iman Rahimi. Iman Rahimi 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
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Rahimi, Iman, et al.. (2025). Optimizing renewable energy site selection in rural Australia: Clustering algorithms and energy potential analysis. Energy Conversion and Management X. 25. 100855–100855. 8 indexed citations
3.
4.
Rahimi, Iman, Amir H. Gandomi, Mohammad Reza Nikoo, Mohsen Mousavi, & Fang Chen. (2024). Efficient implicit constraint handling approaches for constrained optimization problems. Scientific Reports. 14(1). 4816–4816. 7 indexed citations
5.
Hussain, Walayat, José M. Merigó, Iman Rahimi, & Benjamin Lev. (2024). Half a century of Omega – The International Journal of Management Science: A bibliometric analysis. Omega. 133. 103226–103226. 2 indexed citations
6.
Rahimi, Iman, Mohammad Reza Nikoo, & Amir H. Gandomi. (2023). Techno-economic analysis for using hybrid wind and solar energies in Australia. Energy Strategy Reviews. 47. 101092–101092. 17 indexed citations
7.
Rahimi, Iman, et al.. (2023). Optimal location selection for a distributed hybrid renewable energy system in rural Western Australia: A data mining approach. Energy Strategy Reviews. 50. 101205–101205. 9 indexed citations
8.
Rahimi, Iman, Amir H. Gandomi, Mohammad Reza Nikoo, & Fang Chen. (2023). A Comparative Study on Evolutionary Multi-Objective Algorithms for Next Release Problem. SSRN Electronic Journal. 1 indexed citations
9.
Rahimi, Iman, Amir H. Gandomi, Fang Chen, & Efrén Mezura‐Montes. (2022). A Review on Constraint Handling Techniques for Population-based Algorithms: from single-objective to multi-objective optimization. arXiv (Cornell University). 2 indexed citations
10.
Rahimi, Iman & Javad Nematian. (2022). A Bibliometric Analysis on Optimization Solution Methods Applied to Supply Chain of Solar Energy. Archives of Computational Methods in Engineering. 29(6). 4213–4231. 7 indexed citations
11.
Nematian, Javad & Iman Rahimi. (2022). Feasibility study of using renewable energies in Iranian Seas: A comparative study. Renewable Energy. 189. 383–391. 15 indexed citations
12.
Rahimi, Iman, Chen Fang, & Amir H. Gandomi. (2021). A review on COVID-19 forecasting models. Neural Computing and Applications. 35(33). 23671–23681. 165 indexed citations breakdown →
13.
Rahimi, Iman, Ali Emrouznejad, Sai Hong Tang, & Abdollah Ahmadi. (2020). Trade-off in facility location and facility efficiency in supply chain network: a data envelopment analysis approach. International Journal of Industrial and Systems Engineering. 36(4). 471–471. 1 indexed citations
14.
Rahimi, Iman & Amir H. Gandomi. (2020). A Comprehensive Review and Analysis of Operating Room and Surgery Scheduling. Archives of Computational Methods in Engineering. 28(3). 1667–1688. 61 indexed citations
15.
Rahimi, Iman, et al.. (2019). Scientometric Analysis of Scheduling in Renewable Energy: A Keyword and Citation Analysis. 1(4). 1–20. 3 indexed citations
16.
Rahimi, Iman, et al.. (2016). The Relationship between Lifeguards' Needs and Their Job Satisfaction Based on Maslow's Hierarchy of Needs. SHILAP Revista de lepidopterología.
17.
Rahimi, Iman, et al.. (2016). Development model for supply chain network design by demand uncertainty and mode selection. Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia). 1 indexed citations
18.
Saatchi, Masoud, et al.. (2014). Influence of tooth length on the accuracy of the Root ZX electronic apical foramen locator: Anex vivostudy. Acta Odontologica Scandinavica. 73(2). 101–106. 8 indexed citations
19.
Rahimi, Iman, et al.. (2012). Improve poultry farm efficiency in Iran: using combination neural networks, decision trees, and data envelopment analysis (DEA). 2(3). 69–84. 11 indexed citations
20.

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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