Berk Canberk
About
In The Last Decade
Berk Canberk
128 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Computer Networks and Communications 1.0k
- Electrical and Electronic Engineering 847
- Aerospace Engineering 282
- Industrial and Manufacturing Engineering 256
- Information Systems 142
Countries citing papers authored by Berk Canberk
This map shows the geographic impact of Berk Canberk'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 Berk Canberk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Berk Canberk more than expected).
Fields of papers citing papers by Berk Canberk
This network shows the impact of papers produced by Berk Canberk. 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 Berk Canberk. The network helps show where Berk Canberk may publish in the future.
Co-authorship network of co-authors of Berk Canberk
This figure shows the co-authorship network connecting the top 25 collaborators of Berk Canberk. A scholar is included among the top collaborators of Berk Canberk 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 Berk Canberk. Berk Canberk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | Carbon-Aware Edge Computing for Internet of Everything Networks: A Digital Twin Approach | IEEE Internet of Things Journal | Dang Van Huynh, Saeed R. Khosravirad et al. | 0 |
| 2 | Black Hole Prediction in Backbone Networks: A Comprehensive and Type-Independent Forecasting Model | IEEE Transactions on Network and Service Management | Λέανδρος Μαγλαράς, Trung Q. Duong et al. | 0 |
| 3 | Quantum Deep Reinforcement Learning for Digital Twin-Enabled 6G Networks and Semantic Communications: Considerations for Adoption and Security | IEEE Transactions on Network Science and Engineering | Bhaskara Narottama, James Adu Ansere et al. | 1 |
| 4 | Joint Optimal Design for Speed and Routing in Maritime Logistics for Green Supply Chain: A Quantum Approximate Optimization Algorithm Approach | IEEE Internet of Things Journal | Dang Van Huynh, Long D. Nguyen et al. | 0 |
| 5 | Advancing 6G: Survey for Explainable AI on Communications and Network Slicing breakdown → | IEEE Open Journal of the Communications Society | Yifan Liu, Avishek Nag et al. | 25 |
| 6 | Channel Estimation for Reconfigurable Intelligent Surface-Aided 6G NOMA Systems: A Quantum Machine Learning Approach | IEEE Transactions on Network Science and Engineering | Adnan Ahmad Cheema, Berk Canberk et al. | 0 |
| 7 | Quantum Deep Reinforcement Learning for URLLC Satellite-Air-Ground Integrated Networks With Digital Twin Applications | IEEE Internet of Things Journal | Dang Van Huynh, Haejoon Jung et al. | 0 |
| 8 | Digital Twin-Empowered Integrated Satellite-Terrestrial Networks Toward 6G Internet of Things | IEEE Communications Magazine | Berk Canberk, Vishal Sharma et al. | 5 |
| 9 | What-if Analysis Framework for Digital Twins in 6G Wireless Network Management | Istanbul Technical University Academic Open Archive (Istanbul Technical University) | Berk Canberk, Vishal Sharma et al. | 8 |
| 10 | AI-Enhanced Digital Twin Framework for Cyber-Resilient 6G Internet of Vehicles Networks | IEEE Internet of Things Journal | Λέανδρος Μαγλαράς, William J. Buchanan et al. | 22 |
| 11 | Cyber-Twin: Digital Twin-Boosted Autonomous Attack Detection for Vehicular Ad-Hoc Networks | Λέανδρος Μαγλαράς, Leandros Tassiulas et al. | 9 | |
| 12 | Intelligent Digital Twin Communication Framework for Addressing Accuracy and Timeliness Tradeoff in Resource-Constrained Networks | IEEE Transactions on Cognitive Communications and Networking | Berk Canberk, Van-Linh Nguyen et al. | 3 |
| 13 | Generative AI-enabled Digital Twins for 6G-enhanced Smart Cities | Edinburgh Napier Research Repository (Edinburgh Napier University) | Berk Canberk et al. | 1 |
| 14 | Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks | Edinburgh Napier Research Repository (Edinburgh Napier University) | Christos Chrysoulas, Λέανδρος Μαγλαράς et al. | 11 |
| 15 | Opportunistic RL-based WiFi Access for Aerial Sensor Nodes in Smart City Applications | Edinburgh Napier Research Repository (Edinburgh Napier University) | Berk Canberk et al. | 1 |
| 16 | Digital Twin Driven Blockchain Based Reliable and Efficient 6G Edge Network | Istanbul Technical University Academic Open Archive (Istanbul Technical University) | Berk Canberk et al. | 10 |
| 17 | Energy‐aware mobility for aerial networks: A reinforcement learning approach | International Journal of Network Management | Berk Canberk et al. | 4 |
| 18 | WiFED Mobile: WiFi Friendly Energy Delivery With Mobile Distributed Beamforming | IEEE/ACM Transactions on Networking | M. Yousof Naderi, Berk Canberk et al. | 12 |
| 19 | OFaaS: OpenFlow Switch as a Service for Multi Tenant Slicing in SD-CDN | IEEE Transactions on Network and Service Management | Berk Canberk et al. | 12 |
| 20 | Road to 5G Reduced-Latency: A Software Defined Handover Model for eMBB Services | IEEE Transactions on Vehicular Technology | Berk Canberk et al. | 30 |
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.