Roozbeh Razavi‐Far

3.6k total citations · 1 hit paper
134 papers, 2.5k citations indexed

About

Roozbeh Razavi‐Far is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Roozbeh Razavi‐Far has authored 134 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Control and Systems Engineering, 56 papers in Artificial Intelligence and 32 papers in Computer Networks and Communications. Recurrent topics in Roozbeh Razavi‐Far's work include Fault Detection and Control Systems (36 papers), Machine Fault Diagnosis Techniques (30 papers) and Network Security and Intrusion Detection (18 papers). Roozbeh Razavi‐Far is often cited by papers focused on Fault Detection and Control Systems (36 papers), Machine Fault Diagnosis Techniques (30 papers) and Network Security and Intrusion Detection (18 papers). Roozbeh Razavi‐Far collaborates with scholars based in Canada, Iran and United Kingdom. Roozbeh Razavi‐Far's co-authors include Mehrdad Saif, Maryam Farajzadeh-Zanjani, Jafar Zarei, Ehsan Hallaji, Vasile Palade, Hossein Hassani, Enrico Zio, K. Khorasani, Marcos E. Orchard and Mojtaba Kordestani and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Applied Energy.

In The Last Decade

Roozbeh Razavi‐Far

127 papers receiving 2.5k citations

Hit Papers

Failure Prognosis and Applications—A Survey of Recent Lit... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roozbeh Razavi‐Far Canada 28 1.6k 700 665 463 346 134 2.5k
Hongtian Chen China 30 2.4k 1.5× 706 1.0× 548 0.8× 936 2.0× 205 0.6× 178 3.5k
Guo Xie China 23 1.4k 0.9× 481 0.7× 313 0.5× 479 1.0× 178 0.5× 157 2.5k
Jun Yan Canada 32 2.6k 1.7× 683 1.0× 1.9k 2.9× 442 1.0× 936 2.7× 140 4.2k
Xiao He China 37 3.2k 2.0× 874 1.2× 360 0.5× 477 1.0× 1.5k 4.4× 167 4.4k
Dazhong Ma China 25 1.3k 0.8× 286 0.4× 1.3k 2.0× 275 0.6× 318 0.9× 109 2.4k
Maiying Zhong China 32 3.3k 2.1× 833 1.2× 373 0.6× 426 0.9× 821 2.4× 174 4.5k
Chee Khiang Pang Singapore 25 1.2k 0.7× 301 0.4× 882 1.3× 598 1.3× 135 0.4× 146 2.5k
Alireza Alfi Iran 34 1.6k 1.0× 829 1.2× 571 0.9× 330 0.7× 602 1.7× 129 3.0k
Hamid Reza Shaker Denmark 30 1.5k 0.9× 442 0.6× 1.6k 2.4× 216 0.5× 106 0.3× 193 2.8k
Kaixiang Peng China 33 3.5k 2.2× 497 0.7× 278 0.4× 1.8k 3.8× 268 0.8× 270 4.3k

Countries citing papers authored by Roozbeh Razavi‐Far

Since Specialization
Citations

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

Fields of papers citing papers by Roozbeh Razavi‐Far

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roozbeh Razavi‐Far. 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 Roozbeh Razavi‐Far. The network helps show where Roozbeh Razavi‐Far may publish in the future.

Co-authorship network of co-authors of Roozbeh Razavi‐Far

This figure shows the co-authorship network connecting the top 25 collaborators of Roozbeh Razavi‐Far. A scholar is included among the top collaborators of Roozbeh Razavi‐Far 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 Roozbeh Razavi‐Far. Roozbeh Razavi‐Far 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.
Zhang, Xichen, et al.. (2025). A survey on Deep Learning in Edge–Cloud Collaboration: Model partitioning, privacy preservation, and prospects. Knowledge-Based Systems. 310. 112965–112965. 2 indexed citations
2.
Razavi‐Far, Roozbeh, et al.. (2025). On the consistency of GNN explanations for malware detection. Information Sciences. 721. 122603–122603. 2 indexed citations
3.
Razavi‐Far, Roozbeh, et al.. (2025). Enhancing GNN Explanations for Malware Detection with Dual Subgraph Matching. Machine Learning and Knowledge Extraction. 8(1). 2–2.
4.
Razavi‐Far, Roozbeh, et al.. (2025). Federated continual learning: Concepts, challenges, and solutions. Neurocomputing. 651. 130844–130844. 2 indexed citations
5.
Razavi‐Far, Roozbeh, et al.. (2025). DNS user profiling and risk assessment: A learning approach. Future Generation Computer Systems. 176. 108180–108180.
6.
Razavi‐Far, Roozbeh, et al.. (2025). Explainable malware detection through integrated graph reduction and learning techniques. Big Data Research. 41. 100555–100555.
7.
Razavi‐Far, Roozbeh, et al.. (2025). Towards privacy-preserving split learning: Destabilizing adversarial inference and reconstruction attacks in the cloud. Internet of Things. 31. 101558–101558. 2 indexed citations
8.
Hallaji, Ehsan, Roozbeh Razavi‐Far, & Mehrdad Saif. (2024). Robust Federated Learning for Mitigating Advanced Persistent Threats in Cyber-Physical Systems. Applied Sciences. 14(19). 8840–8840.
9.
Zhang, Xichen, et al.. (2024). Area in circle: A novel evaluation metric for object detection. Knowledge-Based Systems. 293. 111684–111684. 2 indexed citations
10.
Razavi‐Far, Roozbeh, et al.. (2024). Node-Centric Pruning: A Novel Graph Reduction Approach. SHILAP Revista de lepidopterología. 6(4). 2722–2737. 4 indexed citations
11.
Razavi‐Far, Roozbeh, et al.. (2024). A Few-Shot Learning Approach for Sound Source Distance Estimation Using Relation Networks. 1564–1569. 1 indexed citations
12.
Hallaji, Ehsan, Roozbeh Razavi‐Far, Mehrdad Saif, & Enrique Herrera‐Viedma. (2023). Label noise analysis meets adversarial training: A defense against label poisoning in federated learning. Knowledge-Based Systems. 266. 110384–110384. 21 indexed citations
13.
Khodabandeh, Mahdi, et al.. (2022). Quadrotor Attitude and Altitude Tracking Control Using Finite Discrete-Time Linear Quadratic Tracking Controller. IFAC-PapersOnLine. 55(10). 2962–2967. 4 indexed citations
14.
Kheshti, Mostafa, A.R. Tavakolpour-Saleh, Roozbeh Razavi‐Far, Jafar Zarei, & Mehrdad Saif. (2022). Genetic Algorithm-Based Sliding Mode Control of a Human Arm Model. IFAC-PapersOnLine. 55(10). 2968–2973. 2 indexed citations
15.
Ardeshiri, Reza Rouhi, Roozbeh Razavi‐Far, Tao Li, et al.. (2022). Gated recurrent unit least-squares generative adversarial network for battery cycle life prediction. Measurement. 196. 111046–111046. 18 indexed citations
16.
Zarei, Jafar, et al.. (2022). Fault-tolerant control design for unreliable networked control systems via constrained model predictive control. ISA Transactions. 134. 171–182. 12 indexed citations
17.
Arefi, Mohammad Mehdi, et al.. (2020). Virtual Sensors for Fault Diagnosis: A Case of Induction Motor Broken Rotor Bar. IEEE Sensors Journal. 21(4). 5044–5051. 30 indexed citations
18.
Razavi‐Far, Roozbeh, Mehrdad Saif, Vasile Palade, & Enrico Zio. (2017). Adaptive incremental ensemble of extreme learning machines for fault diagnosis in induction motors. SPIRE - Sciences Po Institutional REpository. 1615–1622. 8 indexed citations
19.
Razavi‐Far, Roozbeh, et al.. (2016). Multi-step-ahead prediction techniques for Lithium-ion batteries condition prognosis. Scholarship at UWindsor (University of Windsor). 4675–4680. 12 indexed citations
20.
Razavi‐Far, Roozbeh, et al.. (2016). Data-driven prognostic techniques for estimation of the remaining useful life of lithium-ion batteries. Scholarship at UWindsor (University of Windsor). 1–8. 26 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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