Amir Masoud Rahmani

51.4k total citations · 2 hit papers
473 papers, 8.7k citations indexed

About

Amir Masoud Rahmani is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Amir Masoud Rahmani has authored 473 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 341 papers in Computer Networks and Communications, 194 papers in Information Systems and 93 papers in Artificial Intelligence. Recurrent topics in Amir Masoud Rahmani's work include IoT and Edge/Fog Computing (141 papers), Cloud Computing and Resource Management (114 papers) and Distributed and Parallel Computing Systems (67 papers). Amir Masoud Rahmani is often cited by papers focused on IoT and Edge/Fog Computing (141 papers), Cloud Computing and Resource Management (114 papers) and Distributed and Parallel Computing Systems (67 papers). Amir Masoud Rahmani collaborates with scholars based in Iran, Taiwan and Iraq. Amir Masoud Rahmani's co-authors include Mehdi Hosseinzadeh, Nima Jafari Navimipour, Hamid Haj Seyyed Javadi, Parvaneh Asghari, Nooruldeen Nasih Qader, Amir Sahafi, Alireza Souri, Mehdi Hosseinzadeh, Ahmad Habibizad Navin and Mohammad Sadegh Yousefpoor and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Amir Masoud Rahmani

442 papers receiving 8.2k citations

Hit Papers

align trajectories

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.

Internet of Things applications: A systematic review

2018 394 citations Amir Masoud Rahmani, Hamid Haj Seyyed Javadi et al. profile →
Load-balancing algorithms in cloud computing: A survey

2017 285 citations Amir Masoud Rahmani et al. Journal of Network and Computer Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amir Masoud Rahmani Iran	48	5.6k	3.5k	1.7k	1.5k	751	473	8.7k
Ejaz Ahmed Malaysia	39	5.0k 0.9×	2.6k 0.7×	1.4k 0.8×	2.1k 1.5×	963 1.3×	81	8.1k
Qi Zhang China	43	5.2k 0.9×	3.5k 1.0×	1.7k 1.0×	1.8k 1.2×	1.2k 1.7×	475	8.9k
Mika Ylianttila Finland	40	5.3k 0.9×	2.5k 0.7×	1.4k 0.8×	2.6k 1.8×	617 0.8×	215	7.7k
Mohammad Shojafar United Kingdom	44	4.4k 0.8×	2.5k 0.7×	1.2k 0.7×	2.0k 1.3×	577 0.8×	204	6.5k
Ibrar Yaqoob United Arab Emirates	47	5.2k 0.9×	4.5k 1.3×	1.9k 1.1×	2.0k 1.4×	1.1k 1.4×	104	11.5k
Nima Jafari Navimipour Iran	61	4.7k 0.8×	3.9k 1.1×	2.2k 1.3×	1.9k 1.3×	620 0.8×	230	10.0k
Xiaolong Xu China	56	5.1k 0.9×	3.3k 0.9×	2.7k 1.6×	1.9k 1.3×	1.6k 2.1×	356	9.3k
Moayad Aloqaily United Arab Emirates	43	3.2k 0.6×	2.4k 0.7×	2.0k 1.2×	2.0k 1.4×	575 0.8×	192	6.5k
Chengzhong Xu China	55	6.0k 1.1×	4.1k 1.2×	2.1k 1.3×	1.7k 1.2×	1.1k 1.5×	574	11.1k
Madhusanka Liyanage Ireland	43	4.8k 0.8×	2.9k 0.8×	1.7k 1.0×	2.7k 1.9×	766 1.0×	231	9.2k

Countries citing papers authored by Amir Masoud Rahmani

Since Specialization

Citations

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

Fields of papers citing papers by Amir Masoud Rahmani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Masoud Rahmani

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

All Works

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20 of 20 papers shown

Rahmani, Amir Masoud, et al.. (2024). A novel energy-efficient and cost-effective task offloading approach for UAV-enabled MEC with LEO enhancement in Internet of Remote Things networks. Simulation Modelling Practice and Theory. 137. 103018–103018. 2 indexed citations

Zarrabi, Houman, et al.. (2024). The effect of task processing management on energy consumption at the edge of Internet of things network with using reinforcement learning method. Computers & Industrial Engineering. 195. 110426–110426. 5 indexed citations

Lee, Sang-Woong, et al.. (2024). SFGCN: Synergetic fusion-based graph convolutional networks approach for link prediction in social networks. Information Fusion. 114. 102684–102684. 7 indexed citations

Min, Hong, et al.. (2024). A joint optimization of resource allocation management and multi-task offloading in high-mobility vehicular multi-access edge computing networks. Ad Hoc Networks. 166. 103656–103656. 18 indexed citations

Rahmani, Amir Masoud, Dildar Hussain, Mohammad Sadegh Yousefpoor, et al.. (2024). An adaptive and multi-path greedy perimeter stateless routing protocol in flying ad hoc networks. Vehicular Communications. 50. 100838–100838. 6 indexed citations

Min, Hong, Jawad Tanveer, Amir Masoud Rahmani, et al.. (2024). URLLC-aware and energy-efficient data offloading strategy in high-mobility vehicular mobile edge computing environments. Vehicular Communications. 50. 100839–100839. 2 indexed citations

Rahmani, Amir Masoud, et al.. (2024). A novel offloading strategy for multi-user optimization in blockchain-enabled Mobile Edge Computing networks for improved Internet of Things performance. Computers & Electrical Engineering. 119. 109514–109514. 27 indexed citations

Rahmani, Amir Masoud, et al.. (2024). The role of mobile edge computing in advancing federated learning algorithms and techniques: A systematic review of applications, challenges, and future directions. Computers & Electrical Engineering. 120. 109812–109812. 1 indexed citations

Mahini, Hamid, et al.. (2024). Lane and Platoon Assignment in Intelligent Transportation System: A Novel Heuristic Approach. International Journal of Intelligent Transportation Systems Research. 22(2). 298–315. 1 indexed citations

10.

Ayubi, Peyman, Saeed Setayeshi, & Amir Masoud Rahmani. (2023). Chaotic Complex Hashing: A simple chaotic keyed hash function based on complex quadratic map. Chaos Solitons & Fractals. 173. 113647–113647. 19 indexed citations

11.

Rahmani, Amir Masoud, et al.. (2023). A fault-tolerant adaptive genetic algorithm for service scheduling in internet of vehicles. Applied Soft Computing. 143. 110413–110413. 20 indexed citations

12.

Rahmani, Amir Masoud, et al.. (2023). Social networks data analytical approaches for trust‐based recommender systems: A systematic literature review. International Journal of Communication Systems. 37(5). 1 indexed citations

13.

Rahmani, Amir Masoud, et al.. (2023). Software defined fog platform. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 13(5). 5454–5454. 1 indexed citations

14.

Rahmani, Amir Masoud, et al.. (2022). Analytical model for task offloading in a fog computing system with batch-size-dependent service. Computer Communications. 190. 201–215. 7 indexed citations

15.

Bolhasani, Hamidreza, et al.. (2021). Deep learning applications for IoT in health care: A systematic review. Informatics in Medicine Unlocked. 23. 100550–100550. 79 indexed citations

16.

Javadi, Hamid Haj Seyyed, et al.. (2021). Measuring the Efficiency of Financial Cloud Services in the Banking Industry Using the Modified Dynamic DEA with Network Structure: The Case of Iran E-Banking. SHILAP Revista de lepidopterología. 2 indexed citations

17.

Mohammadi, Mokhtar, Tarik A. Rashid, Sarkhel H. Taher Karim, et al.. (2021). A comprehensive survey and taxonomy of the SVM-based intrusion detection systems. Journal of Network and Computer Applications. 178. 102983–102983. 174 indexed citations

18.

Rahmani, Amir Masoud, Efat Yousefpoor, Mohammad Sadegh Yousefpoor, et al.. (2021). Machine Learning (ML) in Medicine: Review, Applications, and Challenges. Mathematics. 9(22). 2970–2970. 111 indexed citations

19.

Rahmani, Amir Masoud, et al.. (2017). Data Replication-Based Scheduling in Cloud Computing Environment. SHILAP Revista de lepidopterología. 3 indexed citations

20.

Dashti, Seyed Ebrahim & Amir Masoud Rahmani. (2015). A New Scheduling Method for Workflows on Cloud Computing. International Journal of Advanced Research in Computer Science. 6(6). 133–145. 4 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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