George Dabos

950 total citations
53 papers, 719 citations indexed

About

George Dabos is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, George Dabos has authored 53 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Electrical and Electronic Engineering, 24 papers in Artificial Intelligence and 13 papers in Biomedical Engineering. Recurrent topics in George Dabos's work include Photonic and Optical Devices (43 papers), Optical Network Technologies (27 papers) and Neural Networks and Reservoir Computing (24 papers). George Dabos is often cited by papers focused on Photonic and Optical Devices (43 papers), Optical Network Technologies (27 papers) and Neural Networks and Reservoir Computing (24 papers). George Dabos collaborates with scholars based in Greece, Germany and France. George Dabos's co-authors include Nikos Pleros, Anastasios Tefas, Angelina Totović, Nikolaos Passalis, George Mourgias-Alexandris, Manos Kirtas, D. Tsiokos, Miltiadis Moralis‐Pegios, Apostolos Tsakyridis and Anna Lena Giesecke and has published in prestigious journals such as Nature Communications, Journal of Applied Physics and Scientific Reports.

In The Last Decade

George Dabos

51 papers receiving 683 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George Dabos Greece 17 664 433 127 115 23 53 719
Zhoufeng Ying United States 17 751 1.1× 452 1.0× 135 1.1× 235 2.0× 33 1.4× 47 840
Éric Bernier Canada 14 732 1.1× 109 0.3× 73 0.6× 306 2.7× 23 1.0× 64 807
Alireza Samani Canada 21 1.4k 2.1× 198 0.5× 68 0.5× 465 4.0× 68 3.0× 64 1.4k
Cheryl Sorace-Agaskar United States 10 639 1.0× 151 0.3× 63 0.5× 349 3.0× 24 1.0× 40 694
Lianxi Jia China 16 871 1.3× 230 0.5× 47 0.4× 400 3.5× 36 1.6× 56 895
L. W. Luo China 5 560 0.8× 130 0.3× 70 0.6× 274 2.4× 30 1.3× 7 602
Shuai Sun United States 11 334 0.5× 138 0.3× 150 1.2× 125 1.1× 7 0.3× 30 409
Xinshu Ren China 7 546 0.8× 88 0.2× 56 0.4× 273 2.4× 62 2.7× 7 612
Hang Guan United States 14 509 0.8× 74 0.2× 47 0.4× 249 2.2× 38 1.7× 25 562
Farshid Ashtiani United States 6 470 0.7× 362 0.8× 36 0.3× 114 1.0× 8 0.3× 23 566

Countries citing papers authored by George Dabos

Since Specialization
Citations

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

Fields of papers citing papers by George Dabos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Dabos

This figure shows the co-authorship network connecting the top 25 collaborators of George Dabos. A scholar is included among the top collaborators of George Dabos 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 George Dabos. George Dabos 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.
Tsakyridis, Apostolos, George Giamougiannis, Miltiadis Moralis‐Pegios, et al.. (2023). DDOS attack identification via a silicon photonic Deep Neural Network with 50 GHz input and weight update. 1–3. 2 indexed citations
2.
Tsakyridis, Apostolos, George Giamougiannis, Miltiadis Moralis‐Pegios, et al.. (2023). DDOS attack identification via a silicon photonic Deep Neural Network with 50 GHz input and weight update. W3G.1–W3G.1. 2 indexed citations
3.
Giamougiannis, George, Apostolos Tsakyridis, Miltiadis Moralis‐Pegios, et al.. (2023). Neuromorphic silicon photonics with 50 GHz tiled matrix multiplication for deep-learning applications. Advanced Photonics. 5(1). 34 indexed citations
4.
Vangelidis, Ioannis, Dimitris V. Bellas, Stephan Suckow, et al.. (2022). Unbiased Plasmonic-Assisted Integrated Graphene Photodetectors. ACS Photonics. 9(6). 1992–2007. 10 indexed citations
5.
Tsakyridis, Apostolos, George Giamougiannis, George Mourgias-Alexandris, et al.. (2022). Silicon Photonic Neuromorphic Computing with 16 GHz Input Data and Weight Update Line Rates. Conference on Lasers and Electro-Optics. STh5G.1–STh5G.1. 4 indexed citations
6.
Dabos, George, Dimitris V. Bellas, Miltiadis Moralis‐Pegios, et al.. (2022). Neuromorphic photonic technologies and architectures: scaling opportunities and performance frontiers [Invited]. Optical Materials Express. 12(6). 2343–2343. 32 indexed citations
7.
Moralis‐Pegios, Miltiadis, George Mourgias-Alexandris, Apostolos Tsakyridis, et al.. (2022). Neuromorphic Silicon Photonics and Hardware-Aware Deep Learning for High-Speed Inference. Journal of Lightwave Technology. 40(10). 3243–3254. 45 indexed citations
8.
Mourgias-Alexandris, George, Miltiadis Moralis‐Pegios, Apostolos Tsakyridis, et al.. (2022). Noise-resilient and high-speed deep learning with coherent silicon photonics. Nature Communications. 13(1). 5572–5572. 81 indexed citations
9.
Kirtas, Manos, Nikolaos Passalis, George Mourgias-Alexandris, et al.. (2022). Robust Architecture-Agnostic and Noise Resilient Training of Photonic Deep Learning Models. IEEE Transactions on Emerging Topics in Computational Intelligence. 7(1). 140–149. 18 indexed citations
10.
Moralis‐Pegios, Miltiadis, Angelina Totović, Apostolos Tsakyridis, et al.. (2022). Photonic Neuromorphic Computing: Architectures, Technologies, and Training Models. Optical Fiber Communication Conference (OFC) 2022. M1G.4–M1G.4. 8 indexed citations
11.
Pleros, Nikos, Miltiadis Moralis‐Pegios, Angelina Totović, et al.. (2021). Compute with Light: Architectures, Technologies and Training Models for Neuromorphic Photonic Circuits. 1–4. 7 indexed citations
12.
Dabos, George, George Mourgias-Alexandris, Angelina Totović, et al.. (2020). Photonic Recurrent Neural Networks with Gating Circuit. Conference on Lasers and Electro-Optics. 24. JTU2C.8–JTU2C.8. 1 indexed citations
13.
Manolis, Athanasios, Piotr J. Cegielski, Laurent Markey, et al.. (2019). Bringing Plasmonics Into CMOS Photonic Foundries: Aluminum Plasmonics on Si$_{3}$N$_{4}$ for Biosensing Applications. Journal of Lightwave Technology. 37(21). 5516–5524. 9 indexed citations
14.
Dabos, George, Athanasios Manolis, D. Tsiokos, et al.. (2018). Aluminum plasmonic waveguides co-integrated with Si3N4 photonics using CMOS processes. Scientific Reports. 8(1). 13380–13380. 32 indexed citations
15.
Dabos, George, et al.. (2018). Design and Optimization of Open-cladded Plasmonic Waveguides for CMOS Integration on Si3N4 Platform. Plasmonics. 14(4). 823–838. 8 indexed citations
16.
17.
Dabos, George, et al.. (2015). Perfectly vertical and fully etched SOI grating couplers for TM polarization. Optics Communications. 350. 124–127. 10 indexed citations
18.
Brimont, A., Christos Vagionas, Nikos Pleros, et al.. (2014). Compact and efficient silicon 2×2 switches based on a reverse biased vertical pn junction. 159–160. 1 indexed citations
19.
Dabos, George, et al.. (2014). Cost-effective single-etched TM-mode SOI grating couplers for broadband perfectly vertical coupling. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8990. 899009–899009. 4 indexed citations
20.
Papaioannou, S., George Dabos, Konstantinos Vyrsokinos, et al.. (2014). On-Chip Dual-Stream DWDM Eight-Channel-Capable SOI-Based MUX <roman>s</roman>/DEMUX <roman>s</roman> With 40-GH <roman>z</roman> Channel Bandwidth. IEEE photonics journal. 7(1). 1–10. 13 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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