Ali Ghaffari

4.8k total citations
138 papers, 3.4k citations indexed

About

Ali Ghaffari is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Ali Ghaffari has authored 138 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Computer Networks and Communications, 37 papers in Electrical and Electronic Engineering and 24 papers in Information Systems. Recurrent topics in Ali Ghaffari's work include Energy Efficient Wireless Sensor Networks (44 papers), IoT and Edge/Fog Computing (34 papers) and Mobile Ad Hoc Networks (33 papers). Ali Ghaffari is often cited by papers focused on Energy Efficient Wireless Sensor Networks (44 papers), IoT and Edge/Fog Computing (34 papers) and Mobile Ad Hoc Networks (33 papers). Ali Ghaffari collaborates with scholars based in Iran, Türkiye and Azerbaijan. Ali Ghaffari's co-authors include Ali Seyfollahi, Rahim Masoudi, Mohammad Masdari, Farhad Soleimanian Gharehchopogh, Hamed Afshari, Alireza Khodayari, Reinhard Braunstingl, Reza Kazemi, Ahmad Rahbar‐Kelishami and Seyed Salar Sefati and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Computers in Human Behavior.

In The Last Decade

Ali Ghaffari

121 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Ghaffari Iran 33 2.4k 1.1k 566 443 315 138 3.4k
Rosilah Hassan Malaysia 30 1.6k 0.7× 1.3k 1.1× 522 0.9× 567 1.3× 136 0.4× 194 2.9k
Cong Liu China 34 1.8k 0.8× 1.8k 1.6× 619 1.1× 1.2k 2.7× 251 0.8× 252 4.7k
Shayla Islam Malaysia 28 1.1k 0.4× 1.2k 1.1× 663 1.2× 657 1.5× 499 1.6× 157 3.0k
Mahmoud Daneshmand United States 27 2.1k 0.9× 1.1k 1.0× 493 0.9× 738 1.7× 116 0.4× 106 3.6k
Klaus Moessner United Kingdom 34 3.2k 1.3× 2.5k 2.2× 607 1.1× 680 1.5× 177 0.6× 278 4.9k
Uttam Ghosh United States 29 1.5k 0.6× 599 0.5× 867 1.5× 993 2.2× 229 0.7× 172 3.1k
Wu Yang China 28 1.1k 0.5× 973 0.8× 635 1.1× 640 1.4× 113 0.4× 155 2.6k
Nadra Guizani United States 38 2.2k 0.9× 1.1k 1.0× 1.2k 2.2× 1.4k 3.2× 325 1.0× 104 4.4k
Eirini Eleni Tsiropoulou United States 33 1.5k 0.6× 1.3k 1.1× 375 0.7× 459 1.0× 188 0.6× 170 2.9k

Countries citing papers authored by Ali Ghaffari

Since Specialization
Citations

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

Fields of papers citing papers by Ali Ghaffari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Ghaffari

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Ghaffari. A scholar is included among the top collaborators of Ali Ghaffari 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 Ghaffari. Ali Ghaffari 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.
Ghaffari, Ali, et al.. (2025). Application of human activity/action recognition: a review. Multimedia Tools and Applications. 84(28). 33475–33504. 6 indexed citations
2.
Jafari, Faranak, et al.. (2025). Game theory and ant colony optimization for efficient routing in wireless multi-hop networks. Computer Networks. 275. 111902–111902.
3.
Ghaffari, Ali, et al.. (2025). Optimizing IoT data collection through federated learning and periodic scheduling. Knowledge-Based Systems. 317. 113526–113526.
4.
Ghaffari, Ali, et al.. (2025). RCPFH: Reliable controller placement in software-defined networks using fuzzy systems and a modified walrus optimization algorithm. Simulation Modelling Practice and Theory. 144. 103171–103171.
5.
Ghaffari, Ali, et al.. (2025). Anomaly detection in unmanned aerial vehicles flight data: A survey. Ad Hoc Networks. 178. 103989–103989.
6.
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
7.
Ghaffari, Ali, et al.. (2024). An Intrusion Detection System on The Internet of Things Using Deep Learning and Multi-objective Enhanced Gorilla Troops Optimizer. Journal of Bionic Engineering. 21(5). 2658–2684. 12 indexed citations
8.
Arasteh, Bahman, et al.. (2024). Optimizing random forests to detect intrusion in the Internet of Things. Computers & Electrical Engineering. 120. 109860–109860. 8 indexed citations
9.
Ghaffari, Ali, et al.. (2024). DDoS attack detection techniques in IoT networks: a survey. Cluster Computing. 27(10). 14637–14668. 16 indexed citations
10.
Ghaffari, Ali, et al.. (2023). QoS‐based routing scheme in software‐defined networks using fuzzy analytic hierarchy process. Concurrency and Computation Practice and Experience. 35(9). 2 indexed citations
11.
Ghaffari, Ali, et al.. (2023). Anomaly-based intrusion detection system in the Internet of Things using a convolutional neural network and multi-objective enhanced Capuchin Search Algorithm. Journal of Parallel and Distributed Computing. 175. 1–21. 66 indexed citations
12.
Akleylek, Sedat, et al.. (2023). SDN-IoT: SDN-based efficient clustering scheme for IoT using improved Sailfish optimization algorithm. PeerJ Computer Science. 9. e1424–e1424. 9 indexed citations
13.
Ghaffari, Ali, et al.. (2023). Task and resource allocation in the internet of things based on an improved version of the moth-flame optimization algorithm. Cluster Computing. 27(2). 1775–1797. 19 indexed citations
14.
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
15.
Ghaffari, Ali, et al.. (2018). Defining Neighborhood, Analysis of Two Different Approaches: Expert-oriented Approach of Theorists and Perceptual Approach of Residents. 24(11). 69–80.
16.
Ghaffari, Ali, et al.. (2018). Tools for the Governance of Urban Design: The Tehran Experience. 11(22). 69–80. 2 indexed citations
17.
Dibaei, Mahdi & Ali Ghaffari. (2017). TSIS: A Trust-Based Scheme for Increasing Security in Wireless Sensor Networks. SHILAP Revista de lepidopterología. 11(4). 45–52. 5 indexed citations
18.
Ghaffari, Ali, et al.. (2014). A New Approach for Software Cost Estimation with Hybrid Genetic Algorithm and Ant Colony Optimization. International journal of innovation and applied studies. 5(1). 72–81. 27 indexed citations
19.
Ghaffari, Ali, et al.. (2013). A New Generalized Regression Artificial Neural Networks Approach for Diagnosing Heart Disease. International journal of innovation and applied studies. 4(4). 679–689. 12 indexed citations
20.
Ghaffari, Ali, et al.. (2012). Mathematical Modeling of Cancer and Designing an Optimal Chemotherapy Protocol Based on Lyapunov Stability Criteria. SHILAP Revista de lepidopterología. 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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