Alexios Birbas

1.4k total citations
91 papers, 831 citations indexed

About

Alexios Birbas is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Alexios Birbas has authored 91 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Electrical and Electronic Engineering, 17 papers in Biomedical Engineering and 16 papers in Computer Networks and Communications. Recurrent topics in Alexios Birbas's work include Optical Network Technologies (15 papers), Advancements in Semiconductor Devices and Circuit Design (14 papers) and Analog and Mixed-Signal Circuit Design (14 papers). Alexios Birbas is often cited by papers focused on Optical Network Technologies (15 papers), Advancements in Semiconductor Devices and Circuit Design (14 papers) and Analog and Mixed-Signal Circuit Design (14 papers). Alexios Birbas collaborates with scholars based in Greece, United States and Spain. Alexios Birbas's co-authors include Michael Birbas, A. Papalexopoulos, Nikolaos Andriopoulos, Ioannis Tomkos, Dimitrios Klonidis, M. Omella, Josep Prat, Nikos Petrellis, José A. Lázaro and Arthur D. van Rheenen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Applied Energy.

In The Last Decade

Alexios Birbas

83 papers receiving 795 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexios Birbas Greece 16 653 110 107 86 80 91 831
Rouwaida Kanj United States 17 939 1.4× 192 1.7× 56 0.5× 31 0.4× 97 1.2× 91 1.2k
Abbas Dideban Iran 13 246 0.4× 110 1.0× 36 0.3× 64 0.7× 20 0.3× 48 470
Giancarlo Storti Gajani Italy 16 525 0.8× 92 0.8× 117 1.1× 31 0.4× 35 0.4× 69 686
Saurabh Chaudhury India 19 790 1.2× 209 1.9× 24 0.2× 34 0.4× 31 0.4× 95 1.3k
Mauro Leoncini Italy 14 335 0.5× 126 1.1× 28 0.3× 79 0.9× 426 5.3× 91 844
Jun Tao China 12 267 0.4× 75 0.7× 54 0.5× 10 0.1× 20 0.3× 78 473
Robert Akl United States 16 918 1.4× 60 0.5× 49 0.5× 10 0.1× 667 8.3× 73 1.3k
Mobayode O. Akinsolu United Kingdom 17 575 0.9× 126 1.1× 29 0.3× 14 0.2× 130 1.6× 63 1.0k
Mohammad Fathi Iran 13 896 1.4× 18 0.2× 714 6.7× 61 0.7× 156 1.9× 54 1.0k
Rolf Kraemer Germany 18 953 1.5× 97 0.9× 24 0.2× 21 0.2× 440 5.5× 152 1.2k

Countries citing papers authored by Alexios Birbas

Since Specialization
Citations

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

Fields of papers citing papers by Alexios Birbas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexios Birbas

This figure shows the co-authorship network connecting the top 25 collaborators of Alexios Birbas. A scholar is included among the top collaborators of Alexios Birbas 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 Alexios Birbas. Alexios Birbas 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.
Tranoris, Christos, et al.. (2024). Towards Intent-based Network Management for the 6G System adopting Multimodal Generative AI. Zenodo (CERN European Organization for Nuclear Research). 848–853. 8 indexed citations
2.
Andriopoulos, Nikolaos, et al.. (2024). Cyber-Resilient Operation of IoT-Enabled Power Grid: A Nodal Local Energy Market Approach. 3. 27–38. 2 indexed citations
3.
Gogos, Christos, et al.. (2024). Enhancing Parameters Tuning of Overlay Models with Ridge Regression: Addressing Multicollinearity in High-Dimensional Data. Mathematics. 12(20). 3179–3179. 3 indexed citations
4.
5.
Papaioannou, Panagiotis, Michael Birbas, Alexios Birbas, et al.. (2023). Cloud-Edge Architecture With Virtualized Hardware Functionality for Real-Time Diagnosis of Transients in Smart Grids. IEEE Transactions on Cloud Computing. 11(2). 1230–1241. 4 indexed citations
6.
Birbas, Michael, et al.. (2023). Deep learning-based application for fault location identification and type classification in active distribution grids. Applied Energy. 338. 120932–120932. 45 indexed citations
7.
Hehenberger, Peter, Olivia Penas, Stanislao Patalano, et al.. (2023). Holistic System Modelling and Analysis for Energy-Aware Production: An Integrated Framework. Systems. 11(2). 100–100. 3 indexed citations
8.
Karampinis, Ioannis, et al.. (2023). A Predictive Fuzzy Logic Model for Forecasting Electricity Day-Ahead Market Prices for Scheduling Industrial Applications. Energies. 16(10). 4085–4085. 6 indexed citations
9.
Andriopoulos, Nikolaos, et al.. (2023). A Forecasting Model for the Prediction of System Imbalance in the Greek Power System. SHILAP Revista de lepidopterología. 18–18. 7 indexed citations
10.
Alefragis, Panayiotis, et al.. (2023). A Genetic Algorithm-Enhanced Sensor Marks Selection Algorithm for Wavefront Aberration Modeling in Extreme-UV (EUV) Photolithography. Information. 14(8). 428–428. 1 indexed citations
11.
Andriopoulos, Nikolaos, et al.. (2023). Local Energy Market-Consumer Digital Twin Coordination for Optimal Energy Price Discovery under Thermal Comfort Constraints. Applied Sciences. 13(3). 1798–1798. 13 indexed citations
12.
Birbas, Michael, et al.. (2022). An Adaptive Downsampling FPGA-Based TDC Implementation for Time Measurement Improvement. MDPI (MDPI AG). 1(3). 175–190. 7 indexed citations
13.
Birbas, Michael, et al.. (2022). Deep Reinforcement Learning Acceleration for Real-Time Edge Computing Mixed Integer Programming Problems. IEEE Access. 10. 18526–18543. 7 indexed citations
14.
Birbas, Michael, et al.. (2020). An Automatic Design Framework for Real-Time Power System Simulators Supporting Smart Grid Applications. Electronics. 9(2). 299–299. 12 indexed citations
15.
Andriopoulos, Nikolaos, et al.. (2020). A Hybrid Cyber Physical Digital Twin Approach for Smart Grid Fault Prediction. 393–397. 36 indexed citations
16.
Andriopoulos, Nikolaos, et al.. (2019). Noise Injection/ Machine Learning Fraud Detection Framework in Time Series Data. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2 indexed citations
17.
Efstathiou, Konstantinos, et al.. (2013). A compact hybrid-multiplexed potentiostat for real-time electrochemical biosensing applications. Biosensors and Bioelectronics. 47. 482–489. 32 indexed citations
18.
Petrellis, Nikos, et al.. (2013). Capacitive Sensor Estimation Based on Self-Configurable Reference Capacitance. 3(1). 12–21. 2 indexed citations
19.
Omella, M., Bernhard Schrenk, Dimitrios Klonidis, et al.. (2009). 10 Gb/s full-duplex bidirectional transmission with RSOA-based ONU using detuned optical filtering and decision feedback equalization. Optics Express. 17(7). 5008–5008. 39 indexed citations
20.
Omella, M., et al.. (2008). Upstream transmission in WDM PONs at 10Gbps using low bandwidth RSOAs assisted with optical filtering and electronic equalization. Zenodo (CERN European Organization for Nuclear Research). 16. 1–2. 4 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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