Ali Seyfollahi

461 total citations
12 papers, 294 citations indexed

About

Ali Seyfollahi is a scholar working on Computer Networks and Communications, Information Systems and Health Information Management. According to data from OpenAlex, Ali Seyfollahi has authored 12 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 2 papers in Information Systems and 1 paper in Health Information Management. Recurrent topics in Ali Seyfollahi's work include IoT and Edge/Fog Computing (9 papers), Software-Defined Networks and 5G (5 papers) and Energy Efficient Wireless Sensor Networks (4 papers). Ali Seyfollahi is often cited by papers focused on IoT and Edge/Fog Computing (9 papers), Software-Defined Networks and 5G (5 papers) and Energy Efficient Wireless Sensor Networks (4 papers). Ali Seyfollahi collaborates with scholars based in Iran, Türkiye and United States. Ali Seyfollahi's co-authors include Ali Ghaffari, Laith Abualigah, Anas Ratib Alsoud, Guojun Wang, Shuhong Chen, Mehdi Gheisari, Bahman Arasteh and Fatemeh Dashti and has published in prestigious journals such as Computer Networks, Multimedia Tools and Applications and Journal of Ambient Intelligence and Humanized Computing.

In The Last Decade

Ali Seyfollahi

11 papers receiving 278 citations

Peers

Ali Seyfollahi
Rohit Kumar India
Sebastian Gallenmüller Germany
Renan C. A. Alves Brazil
Hanen Idoudi Tunisia
E. Baburaj India
Harith Kharrufa United Kingdom
Umair Ullah Tariq Australia
Elisa Rojas Spain
Abdullah Aydeger United States
Jiaxiang Lin China
Rohit Kumar India
Ali Seyfollahi
Citations per year, relative to Ali Seyfollahi Ali Seyfollahi (= 1×) peers Rohit Kumar

Countries citing papers authored by Ali Seyfollahi

Since Specialization
Citations

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

Fields of papers citing papers by Ali Seyfollahi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Seyfollahi

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

All Works

12 of 12 papers shown
1.
Ghaffari, Ali, et al.. (2024). Detecting and mitigating security anomalies in Software-Defined Networking (SDN) using Gradient-Boosted Trees and Floodlight Controller characteristics. Computer Standards & Interfaces. 91. 103871–103871. 7 indexed citations
2.
Dashti, Fatemeh, Ali Ghaffari, Ali Seyfollahi, & Bahman Arasteh. (2024). A self-predictive diagnosis system of liver failure based on multilayer neural networks. Multimedia Tools and Applications. 83(36). 83769–83788.
3.
Seyfollahi, Ali, et al.. (2023). An optimal task scheduling method in IoT-Fog-Cloud network using multi-objective moth-flame algorithm. Multimedia Tools and Applications. 83(12). 34351–34372. 36 indexed citations
4.
Seyfollahi, Ali, et al.. (2023). RM-RPL: reliable mobility management framework for RPL-based IoT systems. Cluster Computing. 27(4). 4449–4468. 3 indexed citations
5.
Seyfollahi, Ali, et al.. (2022). MFO-RPL: A secure RPL-based routing protocol utilizing moth-flame optimizer for the IoT applications. Computer Standards & Interfaces. 82. 103622–103622. 47 indexed citations
6.
Seyfollahi, Ali, et al.. (2022). Towards developing a machine learning-metaheuristic-enhanced energy-sensitive routing framework for the internet of things. Microprocessors and Microsystems. 96. 104747–104747. 28 indexed citations
7.
Seyfollahi, Ali & Ali Ghaffari. (2021). A Review of Intrusion Detection Systems in RPL Routing Protocol Based on Machine Learning for Internet of Things Applications. Wireless Communications and Mobile Computing. 2021(1). 35 indexed citations
8.
Seyfollahi, Ali, et al.. (2021). Enhancing mobile crowdsensing in Fog-based Internet of Things utilizing Harris hawks optimization. Journal of Ambient Intelligence and Humanized Computing. 13(9). 4543–4558. 12 indexed citations
9.
Seyfollahi, Ali & Ali Ghaffari. (2020). A lightweight load balancing and route minimizing solution for routing protocol for low-power and lossy networks. Computer Networks. 179. 107368–107368. 45 indexed citations
10.
Seyfollahi, Ali & Ali Ghaffari. (2020). Correction to: Reliable data dissemination for the internet of things using Harris hawks optimization. Peer-to-Peer Networking and Applications. 13(6). 1903–1904. 2 indexed citations
11.
Seyfollahi, Ali & Ali Ghaffari. (2020). Reliable data dissemination for the Internet of Things using Harris hawks optimization. Peer-to-Peer Networking and Applications. 13(6). 1886–1902. 68 indexed citations
12.
Gheisari, Mehdi, Guojun Wang, Shuhong Chen, & Ali Seyfollahi. (2018). A Method for Privacy-Preserving in IoT-SDN Integration Environment. 895–902. 11 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