Vasilis Friderikos

2.3k total citations
165 papers, 1.5k citations indexed

About

Vasilis Friderikos is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Vasilis Friderikos has authored 165 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Computer Networks and Communications, 98 papers in Electrical and Electronic Engineering and 18 papers in Aerospace Engineering. Recurrent topics in Vasilis Friderikos's work include Cooperative Communication and Network Coding (48 papers), Advanced MIMO Systems Optimization (44 papers) and Mobile Ad Hoc Networks (39 papers). Vasilis Friderikos is often cited by papers focused on Cooperative Communication and Network Coding (48 papers), Advanced MIMO Systems Optimization (44 papers) and Mobile Ad Hoc Networks (39 papers). Vasilis Friderikos collaborates with scholars based in United Kingdom, Spain and Germany. Vasilis Friderikos's co-authors include Hamid Aghvami, Katerina Papadaki, A.H. Aghvami, Oliver Holland, Toktam Mahmoodi, Panayiotis Kolios, Mischa Döhler, Hassan Ghassemian, Zheng Gao and Zhaohui Huang and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Wireless Communications and IEEE Transactions on Vehicular Technology.

In The Last Decade

Vasilis Friderikos

157 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vasilis Friderikos United Kingdom 20 1.3k 853 148 81 80 165 1.5k
Henrik Klessig Germany 14 859 0.7× 1.0k 1.2× 142 1.0× 73 0.9× 65 0.8× 29 1.3k
Andreas Mitschele‐Thiel Germany 16 1.2k 0.9× 1.2k 1.3× 217 1.5× 88 1.1× 98 1.2× 150 1.7k
Sami Tabbane Tunisia 17 1.2k 1.0× 1.2k 1.4× 91 0.6× 98 1.2× 66 0.8× 203 1.5k
Juan J. Ramos‐Munoz Spain 12 1.1k 0.9× 851 1.0× 106 0.7× 90 1.1× 129 1.6× 30 1.5k
Vu Nguyen Ha Luxembourg 16 897 0.7× 915 1.1× 289 2.0× 127 1.6× 88 1.1× 67 1.3k
Wibowo Hardjawana Australia 17 835 0.7× 998 1.2× 190 1.3× 48 0.6× 63 0.8× 76 1.4k
Cristiano Bonato Both Brazil 18 870 0.7× 537 0.6× 72 0.5× 175 2.2× 82 1.0× 96 1.1k
Xuemin Hong China 17 1.1k 0.9× 1.3k 1.5× 164 1.1× 54 0.7× 86 1.1× 78 1.7k
Thanasis Korakis Greece 24 2.4k 1.9× 1.7k 2.0× 229 1.5× 98 1.2× 88 1.1× 208 3.0k
Yifei Wei China 14 818 0.7× 643 0.8× 92 0.6× 132 1.6× 63 0.8× 77 1.1k

Countries citing papers authored by Vasilis Friderikos

Since Specialization
Citations

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

Fields of papers citing papers by Vasilis Friderikos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vasilis Friderikos

This figure shows the co-authorship network connecting the top 25 collaborators of Vasilis Friderikos. A scholar is included among the top collaborators of Vasilis Friderikos 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 Vasilis Friderikos. Vasilis Friderikos 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.
Friderikos, Vasilis, et al.. (2024). Energy-Aware Design Policy for Network Slicing Using Deep Reinforcement Learning. IEEE Transactions on Services Computing. 17(5). 2378–2391. 3 indexed citations
2.
Huang, Zhaohui & Vasilis Friderikos. (2023). Optimal Mobility-Aware Wireless Edge Cloud Support for the Metaverse. Future Internet. 15(2). 47–47. 3 indexed citations
3.
Shang, Wen & Vasilis Friderikos. (2023). Reinforcement Learning Based NSGA-II for Energy-Delay Trade-Off in IAB mmWave Het-Nets. Research Portal (King's College London). 3. 4206–4211. 1 indexed citations
4.
Huang, Zhaohui & Vasilis Friderikos. (2023). Optimal service decomposition for mobile augmented reality with edge cloud support. Computer Communications. 202. 97–109. 3 indexed citations
5.
Friderikos, Vasilis, et al.. (2023). Swarm of Robotic Aerial Base Stations for mmWave Multi-Hop Backhauling. IEEE Wireless Communications Letters. 13(3). 666–670. 1 indexed citations
6.
Huang, Zhaohui & Vasilis Friderikos. (2022). Network Resource optimization for Multi-View Streaming Mobile Augmented Reality. 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall). 1–7.
7.
Friderikos, Vasilis, et al.. (2022). Energy-efficient proactive caching with multipath routing. Computer Networks. 216. 109272–109272. 3 indexed citations
8.
Hu, Ye, et al.. (2022). Learning From Images: Proactive Caching With Parallel Convolutional Neural Networks. IEEE Transactions on Mobile Computing. 22(12). 7234–7248. 3 indexed citations
9.
Friderikos, Vasilis, et al.. (2022). Max-min Rate Deployment Optimization for Backhaul-limited Robotic Aerial 6G Small Cells. GLOBECOM 2022 - 2022 IEEE Global Communications Conference. 2 indexed citations
10.
Ren, Yijing & Vasilis Friderikos. (2022). Interference Aware Path Planning for Mobile Robots in mmWave Multi Cell Networks. 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall). 1–6. 3 indexed citations
11.
Friderikos, Vasilis, et al.. (2020). A Survey of Deep Learning for Data Caching in Edge Network. Informatics. 7(4). 43–43. 25 indexed citations
12.
Friderikos, Vasilis, et al.. (2018). A hybrid DMM solution and trade-off analysis for future wireless networks. Computer Networks. 133. 17–32. 14 indexed citations
13.
Gao, Zheng, Chih-Yu Wang, Vasilis Friderikos, & Mischa Döhler. (2018). High Mobility Multi Modal E-Health Services. Research Portal (King's College London). 1–7. 8 indexed citations
14.
Kolios, Panayiotis, Vasilis Friderikos, & Katerina Papadaki. (2011). Mechanical Relaying in Cellular Networks with Soft-QoS Guarantees. 327. 1–6. 2 indexed citations
15.
Mahmoodi, Toktam, Vasilis Friderikos, & Hamid Aghvami. (2009). Allowing Short-Lived TCP Sessions to Ramp-UP in Broadband Wireless Networks. Research Portal (King's College London). 11. 1–6. 3 indexed citations
16.
Holland, Oliver, Vasilis Friderikos, & A.H. Aghvami. (2008). Green Mobile Communications. 2 indexed citations
17.
Papadaki, Katerina & Vasilis Friderikos. (2008). Robust scheduling in spatial reuse TDMA wireless networks. IEEE Transactions on Wireless Communications. 7(12). 4767–4771. 19 indexed citations
18.
Friderikos, Vasilis, et al.. (2006). IEEE International Conference on Communications (ICC), Istanbul, Volume 8, June 2006. 3 indexed citations
19.
Papadaki, Katerina, Vasilis Friderikos, & Hamid Aghvami. (2006). Exploiting mobility diversity in rate adaptive CDMA networks. Computers & Electrical Engineering. 32(1-3). 65–77. 1 indexed citations
20.
Samdanis, Konstantinos, Vasilis Friderikos, & A.H. Aghvami. (2004). Quality of service routing (QoSR) interactions with the BRAIN candidate micro-mobility protocol (BCMP). 35–42. 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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