Metodi P. Yankov

1.4k total citations
77 papers, 901 citations indexed

About

Metodi P. Yankov is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Metodi P. Yankov has authored 77 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Electrical and Electronic Engineering, 17 papers in Computer Networks and Communications and 11 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Metodi P. Yankov's work include Optical Network Technologies (61 papers), Advanced Photonic Communication Systems (42 papers) and Advanced Optical Network Technologies (16 papers). Metodi P. Yankov is often cited by papers focused on Optical Network Technologies (61 papers), Advanced Photonic Communication Systems (42 papers) and Advanced Optical Network Technologies (16 papers). Metodi P. Yankov collaborates with scholars based in Denmark, Italy and Brazil. Metodi P. Yankov's co-authors include Søren Forchhammer, Darko Zibar, Francesco Da Ros, Knud J. Larsen, Leif Katsuo Oxenløwe, Edson Porto da Silva, John C. Cartledge, Lars Porskjær Christensen, Fernando P. Guiomar and Gabriele Liga and has published in prestigious journals such as Nature Photonics, Optics Express and IEEE Transactions on Communications.

In The Last Decade

Metodi P. Yankov

73 papers receiving 851 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Metodi P. Yankov Denmark 16 842 264 87 84 28 77 901
Amirhossein Ghazisaeidi France 24 1.4k 1.7× 257 1.0× 88 1.0× 75 0.9× 16 0.6× 123 1.5k
Elias Giacoumidis United Kingdom 24 1.6k 1.9× 378 1.4× 35 0.4× 139 1.7× 36 1.3× 106 1.6k
Norbert Hanik Germany 24 1.8k 2.1× 261 1.0× 111 1.3× 64 0.8× 49 1.8× 143 1.8k
Eduardo Mateo United States 17 1.0k 1.2× 279 1.1× 39 0.4× 80 1.0× 25 0.9× 66 1.1k
M. Schiano Italy 16 714 0.8× 182 0.7× 91 1.0× 74 0.9× 10 0.4× 51 772
Charles Laperle Canada 19 1.4k 1.6× 287 1.1× 31 0.4× 66 0.8× 41 1.5× 58 1.4k
Gabriele Liga Netherlands 16 798 0.9× 241 0.9× 45 0.5× 74 0.9× 16 0.6× 61 835
Marco Secondini Italy 22 1.7k 2.1× 447 1.7× 114 1.3× 88 1.0× 28 1.0× 106 1.8k
A. Bononi Italy 24 1.9k 2.3× 472 1.8× 117 1.3× 35 0.4× 20 0.7× 174 2.0k
Luca Barletta Italy 17 871 1.0× 99 0.4× 157 1.8× 63 0.8× 66 2.4× 77 921

Countries citing papers authored by Metodi P. Yankov

Since Specialization
Citations

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

Fields of papers citing papers by Metodi P. Yankov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Metodi P. Yankov. 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 Metodi P. Yankov. The network helps show where Metodi P. Yankov may publish in the future.

Co-authorship network of co-authors of Metodi P. Yankov

This figure shows the co-authorship network connecting the top 25 collaborators of Metodi P. Yankov. A scholar is included among the top collaborators of Metodi P. Yankov 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 Metodi P. Yankov. Metodi P. Yankov 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.
2.
Yankov, Metodi P., et al.. (2024). BICM-Compatible Rate Adaptive Geometric Constellation Shaping Using Optimized Many-to-One Labeling. Journal of Lightwave Technology. 42(11). 4110–4123.
3.
Ros, Francesco Da, et al.. (2023). Geometric Constellation Shaping for Fiber-Optic Channels via End-to-End Learning. Journal of Lightwave Technology. 41(12). 3726–3736. 25 indexed citations
4.
Yankov, Metodi P., et al.. (2022). End-to-End Learning of a Constellation Shape Robust to Channel Condition Uncertainties. Journal of Lightwave Technology. 40(10). 3316–3324. 26 indexed citations
5.
Yankov, Metodi P., Darko Zibar, Andrea Carena, & Francesco Da Ros. (2022). Forward Raman Amplifier Optimization Using Machine Learning-aided Physical Modeling. 1–3. 3 indexed citations
6.
Silva, Edson Porto da & Metodi P. Yankov. (2021). Adaptive Turbo Equalization for Nonlinearity Compensation in WDM Systems. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 4 indexed citations
7.
Ros, Francesco Da, Metodi P. Yankov, Edson Porto da Silva, et al.. (2021). Lumped Compensation of Nonlinearities based on Optical Phase Conjugation. Journal of Lightwave Technology. 40(3). 681–691. 11 indexed citations
8.
Yankov, Metodi P., et al.. (2021). SNR Optimization of Multi-Span Fiber Optic Communication Systems Employing EDFAs With Non-Flat Gain And Noise Figure. Journal of Lightwave Technology. 39(21). 6824–6832. 25 indexed citations
9.
Yankov, Metodi P., et al.. (2021). Rate-adaptive Concatenated Multilevel Coding with Fixed Decoding Complexity. 1–5. 2 indexed citations
10.
Kong, Deming, Óskar B. Helgason, Hao Hu, et al.. (2020). Single Dark-Pulse Kerr Comb Supporting 1.84 Pbit/s Transmission over 37-Core Fiber. Conference on Lasers and Electro-Optics. JTh4A.7–JTh4A.7. 15 indexed citations
11.
Silva, Edson Porto da, et al.. (2019). An Experimental Demonstration of Rate-Adaptation Using Shaped Polar Codes for Flexible Optical Networks. Journal of Lightwave Technology. 37(13). 3357–3364. 4 indexed citations
12.
Yankov, Metodi P., et al.. (2019). Probabilistically Shaped Rate-Adaptive Polar-Coded 256-QAM WDM Optical Transmission System. Journal of Lightwave Technology. 38(7). 1800–1808. 9 indexed citations
13.
Yankov, Metodi P., et al.. (2019). Fingerprint Entropy and Identification Capacity Estimation Based on Pixel-Level Generative Modelling. IEEE Transactions on Information Forensics and Security. 15. 56–65. 14 indexed citations
14.
Hu, Hao, Leif Katsuo Oxenløwe, Toshio Morioka, et al.. (2017). Ultrahigh-Spectral-Efficiency WDM/SDM Transmission Using PDM-1024-QAM Probabilistic Shaping With Adaptive Rate. Journal of Lightwave Technology. 36(6). 1304–1308. 14 indexed citations
15.
Yankov, Metodi P., Luca Barletta, & Darko Zibar. (2017). Phase Noise Compensation for Nonlinearity-Tolerant Digital Subcarrier Systems With High-Order QAM. IEEE photonics journal. 9(5). 1–12. 18 indexed citations
16.
Yankov, Metodi P., Francesco Da Ros, Edson Porto da Silva, et al.. (2016). Experimental Study of Nonlinear Phase Noise and its Impact on WDM Systems with DP-256QAM. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 479–481. 3 indexed citations
17.
Yankov, Metodi P. & Søren Forchhammer. (2016). Temporal Probabilistic Constellation Shaping for WDM Optical Communication Systems. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 2 indexed citations
18.
Silva, Edson Porto da, Metodi P. Yankov, Francesco Da Ros, et al.. (2016). Experimental Comparison of Gains in Achievable Information Rates from Probabilistic Shaping and Digital Backpropagation for DP-256QAM/1024QAM WDM Systems. European Conference on Optical Communication. 4 indexed citations
19.
Ros, Francesco Da, Metodi P. Yankov, Edson Porto da Silva, et al.. (2016). Characterization of a Wavelength Converter for 256-QAM Signals Based on an AlGaAs-On-Insulator Nano-waveguide. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 3 indexed citations
20.
Yankov, Metodi P., Søren Forchhammer, Knud J. Larsen, & Lars Porskjær Christensen. (2015). Approximating the constellation constrained capacity of the MIMO channel with discrete input. 4018–4023. 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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