Marios Avgeris

626 total citations
28 papers, 451 citations indexed

About

Marios Avgeris is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Information Systems. According to data from OpenAlex, Marios Avgeris has authored 28 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 5 papers in Control and Systems Engineering and 5 papers in Information Systems. Recurrent topics in Marios Avgeris's work include IoT and Edge/Fog Computing (15 papers), Software-Defined Networks and 5G (9 papers) and Modular Robots and Swarm Intelligence (5 papers). Marios Avgeris is often cited by papers focused on IoT and Edge/Fog Computing (15 papers), Software-Defined Networks and 5G (9 papers) and Modular Robots and Swarm Intelligence (5 papers). Marios Avgeris collaborates with scholars based in Canada, Greece and United Kingdom. Marios Avgeris's co-authors include Symeon Papavassiliou, Dimitrios Dechouniotis, Dimitrios Spatharakis, Νικόλαος Αθανασόπουλος, Aris Leivadeas, Ioanna Roussaki, Nikos Kalatzis, John Violos, Nina Santi and Nathalie Mitton and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Magazine and Sensors.

In The Last Decade

Marios Avgeris

25 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marios Avgeris Canada 9 344 124 102 91 49 28 451
Dimitrios Dechouniotis Greece 14 544 1.6× 259 2.1× 144 1.4× 100 1.1× 78 1.6× 39 690
Dimitrios Spatharakis Greece 10 297 0.9× 127 1.0× 78 0.8× 59 0.6× 40 0.8× 24 380
Dan Tao China 13 305 0.9× 112 0.9× 185 1.8× 93 1.0× 87 1.8× 67 552
Jinmei Shu China 4 190 0.6× 66 0.5× 120 1.2× 73 0.8× 78 1.6× 5 370
Zhixiu Yao China 7 239 0.7× 71 0.6× 147 1.4× 55 0.6× 88 1.8× 10 379
Yufei Cao China 8 226 0.7× 91 0.7× 134 1.3× 88 1.0× 69 1.4× 20 381
Amang Sudarsono Indonesia 12 235 0.7× 144 1.2× 223 2.2× 101 1.1× 202 4.1× 134 578
William Tärneberg Sweden 11 270 0.8× 120 1.0× 103 1.0× 29 0.3× 55 1.1× 46 419
Lina Xu Ireland 13 461 1.3× 119 1.0× 274 2.7× 56 0.6× 83 1.7× 36 634

Countries citing papers authored by Marios Avgeris

Since Specialization
Citations

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

Fields of papers citing papers by Marios Avgeris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marios Avgeris

This figure shows the co-authorship network connecting the top 25 collaborators of Marios Avgeris. A scholar is included among the top collaborators of Marios Avgeris 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 Marios Avgeris. Marios Avgeris 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.
Avgeris, Marios, et al.. (2024). Service function chain network planning through offline, online and infeasibility restoration techniques. Computer Networks. 242. 110241–110241. 3 indexed citations
2.
Avgeris, Marios, et al.. (2024). Optimizing Resource Fragmentation in Virtual Network Function Placement Using Deep Reinforcement Learning. SHILAP Revista de lepidopterología. 2. 1475–1491.
3.
Avgeris, Marios, et al.. (2024). VNF Placement and Dynamic NUMA Node Selection Through Core Consolidation at the Edge and Cloud. IEEE Transactions on Network and Service Management. 21(4). 4655–4668. 2 indexed citations
4.
Avgeris, Marios, et al.. (2024). EMDTORA: Energy-Aware Multi-User Dependent Task Offloading and Resource Allocation in MEC Using Graph-Enabled DRL. IEEE Transactions on Green Communications and Networking. 9(3). 1453–1469.
5.
Avgeris, Marios, et al.. (2024). Cooperative Learning-Based Framework for VNF Caching and Placement Optimization Over Low Earth Orbit Satellite Networks. IEEE Transactions on Vehicular Technology. 74(3). 4758–4773. 3 indexed citations
6.
Avgeris, Marios, et al.. (2024). Fragmentation-Aware VNF Placement: A Deep Reinforcement Learning Approach. Espace ÉTS (ETS). 5257–5262. 2 indexed citations
7.
Avgeris, Marios, et al.. (2024). DRL-based Trajectory Planning and Sensor Task Scheduling for Edge Robotics. Espace ÉTS (ETS). 352–357. 2 indexed citations
8.
Avgeris, Marios, et al.. (2024). Online VNF Placement using Deep Reinforcement Learning and Reward Constrained Policy Optimization. Espace ÉTS (ETS). 269–274. 1 indexed citations
9.
Avgeris, Marios, Aris Leivadeas, Νικόλαος Αθανασόπουλος, Ioannis Lambadaris, & Matthias Falkner. (2023). Model Predictive Control for Automated Network Assurance in Intent-Based Networking enabled Service Function Chains. Espace ÉTS (ETS). 1–7. 3 indexed citations
10.
Avgeris, Marios, Aris Leivadeas, & Ioannis Lambadaris. (2023). Reinforcement Learning-enabled Auctions for Self-Healing in Service Function Chaining. Espace ÉTS (ETS). 776–781.
11.
Avgeris, Marios, et al.. (2023). Security-Oriented Network Intent Placement using Particle Swarm Optimization. Espace ÉTS (ETS). 19–22. 2 indexed citations
12.
Avgeris, Marios, Dimitrios Spatharakis, Dimitrios Dechouniotis, et al.. (2022). ENERDGE: Distributed Energy-Aware Resource Allocation at the Edge. Sensors. 22(2). 660–660. 23 indexed citations
13.
Spatharakis, Dimitrios, Marios Avgeris, Νικόλαος Αθανασόπουλος, Dimitrios Dechouniotis, & Symeon Papavassiliou. (2022). Resource-Aware Estimation and Control for Edge Robotics: A Set-Based Approach. IEEE Internet of Things Journal. 10(3). 2003–2020. 11 indexed citations
14.
Avgeris, Marios, et al.. (2022). Computational Offloading for the Industrial Internet of Things: A Performance Analysis. Zenodo (CERN European Organization for Nuclear Research). 1–6. 2 indexed citations
15.
Avgeris, Marios, Dimitrios Spatharakis, Nina Santi, et al.. (2021). Task offloading in Edge and Cloud Computing: A survey on mathematical, artificial intelligence and control theory solutions. Computer Networks. 195. 108177–108177. 183 indexed citations
16.
Papadimitriou, Panagiotis, Konstantinos V. Katsaros, Vasileios Theodorou, et al.. (2020). MESON: Optimized Cross-Slice Communication for Edge Computing. IEEE Communications Magazine. 58(10). 23–28. 14 indexed citations
17.
Spatharakis, Dimitrios, Marios Avgeris, Νικόλαος Αθανασόπουλος, Dimitrios Dechouniotis, & Symeon Papavassiliou. (2020). A Switching Offloading Mechanism for Path Planning and Localization in Robotic Applications. 77–84. 13 indexed citations
18.
Kalatzis, Nikos, et al.. (2019). Semantic Interoperability for IoT Platforms in Support of Decision Making: An Experiment on Early Wildfire Detection. Sensors. 19(3). 528–528. 23 indexed citations
19.
Avgeris, Marios, Dimitrios Spatharakis, Dimitrios Dechouniotis, et al.. (2019). Where There Is Fire There Is SMOKE: A Scalable Edge Computing Framework for Early Fire Detection. Sensors. 19(3). 639–639. 39 indexed citations
20.
Kalatzis, Nikos, et al.. (2018). Edge Computing in IoT Ecosystems for UAV-Enabled Early Fire Detection. 106–114. 62 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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