Javid Taheri

4.3k total citations
160 papers, 2.7k citations indexed

About

Javid Taheri is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Javid Taheri has authored 160 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Computer Networks and Communications, 67 papers in Information Systems and 41 papers in Electrical and Electronic Engineering. Recurrent topics in Javid Taheri's work include Cloud Computing and Resource Management (58 papers), IoT and Edge/Fog Computing (41 papers) and Software-Defined Networks and 5G (28 papers). Javid Taheri is often cited by papers focused on Cloud Computing and Resource Management (58 papers), IoT and Edge/Fog Computing (41 papers) and Software-Defined Networks and 5G (28 papers). Javid Taheri collaborates with scholars based in Australia, Sweden and China. Javid Taheri's co-authors include Albert Y. Zomaya, Shuiguang Deng, Anna Brunström, Karl‐Johan Grinnemo, Longtao Huang, Jianwei Yin, Van‐Giang Nguyen, Zhengzhe Xiang, Nikzad Babaii Rizvandi and Andreas Kassler and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and IEEE Communications Magazine.

In The Last Decade

Javid Taheri

148 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javid Taheri Australia 25 2.2k 1.2k 732 241 194 160 2.7k
Xiaomin Zhu China 29 2.2k 1.0× 1.5k 1.2× 429 0.6× 656 2.7× 373 1.9× 238 3.3k
Mahmoud Naghibzadeh Iran 21 1.6k 0.7× 1.2k 1.0× 272 0.4× 251 1.0× 93 0.5× 165 2.3k
Panos K. Chrysanthis United States 25 2.3k 1.1× 652 0.5× 557 0.8× 501 2.1× 315 1.6× 251 3.0k
Satish Narayana Srirama Estonia 34 2.9k 1.3× 1.8k 1.5× 813 1.1× 367 1.5× 640 3.3× 164 3.6k
Ishai Menache United States 25 2.0k 0.9× 1.3k 1.0× 587 0.8× 556 2.3× 174 0.9× 72 2.8k
Adel N. Toosi Australia 29 2.0k 0.9× 1.7k 1.4× 305 0.4× 587 2.4× 228 1.2× 72 2.9k
Fang Dong China 22 951 0.4× 703 0.6× 225 0.3× 383 1.6× 143 0.7× 193 1.5k
Edmundo R. M. Madeira Brazil 26 2.3k 1.0× 1.5k 1.2× 643 0.9× 273 1.1× 195 1.0× 189 2.8k
Bibhudatta Sahoo India 24 2.2k 1.0× 1.3k 1.0× 611 0.8× 427 1.8× 169 0.9× 219 2.7k
Jiayin Li China 17 912 0.4× 992 0.8× 300 0.4× 203 0.8× 151 0.8× 64 1.6k

Countries citing papers authored by Javid Taheri

Since Specialization
Citations

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

Fields of papers citing papers by Javid Taheri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javid Taheri

This figure shows the co-authorship network connecting the top 25 collaborators of Javid Taheri. A scholar is included among the top collaborators of Javid Taheri 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 Javid Taheri. Javid Taheri 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.
Galletta, Antonino, et al.. (2025). SIoTEc 2025 - 6th edition of ACM Workshop on Secure IoT, Edge and Cloud systems. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 6905–6907.
2.
Taheri, Javid, et al.. (2024). Optimizing Service Placement in Edge-to-Cloud AR/VR Systems Using a Multi-Objective Genetic Algorithm. Research Portal (Queen's University Belfast). 77–91. 2 indexed citations
3.
Taheri, Javid, et al.. (2024). Security, Reliability, Cost, and Energy-Aware Scheduling of Real-Time Workflows in Compute-Continuum Environments. IEEE Transactions on Cloud Computing. 12(3). 954–965. 6 indexed citations
4.
5.
Taheri, Javid, Schahram Dustdar, Albert Y. Zomaya, & Shuiguang Deng. (2023). Edge Intelligence. 2 indexed citations
6.
Taheri, Javid, et al.. (2023). Using Machine Learning to Predict the Exact Resource Usage of Microservice Chains. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1–9.
7.
Taheri, Javid, et al.. (2023). Machine Learning for Predictive Resource Scaling of Microservices on Kubernetes Platforms. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1–8. 4 indexed citations
8.
Galletta, Antonino, Javid Taheri, Antonio Celesti, Maria Fazio, & Massimo Villari. (2023). Investigating the Applicability of Nested Secret Share for Drone Fleet Photo Storage. IEEE Transactions on Mobile Computing. 23(4). 2671–2683. 9 indexed citations
9.
Taheri, Javid, et al.. (2022). Reliability, Rental-Cost and Energy-Aware Multi-Workflow Scheduling on Multi-Cloud Systems. IEEE Transactions on Cloud Computing. 11(3). 2681–2692. 21 indexed citations
10.
Kassler, Andreas, et al.. (2022). Multiobjective Genetic Algorithm for Fast Service Function Chain Reconfiguration. IEEE Transactions on Network and Service Management. 20(3). 3501–3522. 4 indexed citations
11.
Ferlin, Simone, et al.. (2022). A Survey on Observability of Distributed Edge & Container-Based Microservices. IEEE Access. 10. 86904–86919. 57 indexed citations
12.
Taheri, Javid, et al.. (2021). PerfSim: A Performance Simulator for Cloud Native Microservice Chains. IEEE Transactions on Cloud Computing. 11(2). 1395–1413. 16 indexed citations
13.
Taheri, Javid, et al.. (2021). Energy efficient resource controller for Apache Storm. Concurrency and Computation Practice and Experience. 35(17). 3 indexed citations
14.
Sharma, Yogesh, Javid Taheri, Weisheng Si, Daniel Sun, & Bahman Javadi. (2020). Dynamic Resource Provisioning for Sustainable Cloud Computing Systems in the Presence of Correlated Failures. IEEE Transactions on Sustainable Computing. 6(4). 641–654. 11 indexed citations
15.
Deng, Shuiguang, Zhengzhe Xiang, Peng Zhao, et al.. (2020). Dynamical Resource Allocation in Edge for Trustable Internet-of-Things Systems: A Reinforcement Learning Method. IEEE Transactions on Industrial Informatics. 16(9). 6103–6113. 131 indexed citations
16.
Taheri, Javid, et al.. (2020). MultiScaler: A Multi-Loop Auto-Scaling Approach for Cloud-Based Applications. IEEE Transactions on Cloud Computing. 10(4). 2769–2786. 17 indexed citations
17.
Deng, Shuiguang, Zhengzhe Xiang, Jianwei Yin, Javid Taheri, & Albert Y. Zomaya. (2018). Composition-Driven IoT Service Provisioning in Distributed Edges. IEEE Access. 6. 54258–54269. 65 indexed citations
18.
Anwar, Adnan, Abdun Naser Mahmood, Javid Taheri, Zahir Tari, & Albert Y. Zomaya. (2017). HPC-Based Intelligent Volt/VAr Control of Unbalanced Distribution Smart Grid in the Presence of Noise. IEEE Transactions on Smart Grid. 8(3). 1446–1459. 19 indexed citations
19.
Taheri, Javid, Albert Y. Zomaya, & Andreas Kassler. (2017). vmBBProfiler: a black-box profiling approach to quantify sensitivity of virtual machines to shared cloud resources. Computing. 99(12). 1149–1177. 5 indexed citations
20.
Taheri, Javid, et al.. (2016). GA-ETI: An enhanced genetic algorithm for the scheduling of scientific workflows in cloud environments. Journal of Computational Science. 26. 318–331. 68 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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