Adonis Bogris

4.0k total citations · 1 hit paper
162 papers, 2.9k citations indexed

About

Adonis Bogris is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Adonis Bogris has authored 162 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Electrical and Electronic Engineering, 54 papers in Atomic and Molecular Physics, and Optics and 38 papers in Artificial Intelligence. Recurrent topics in Adonis Bogris's work include Optical Network Technologies (105 papers), Photonic and Optical Devices (65 papers) and Advanced Photonic Communication Systems (53 papers). Adonis Bogris is often cited by papers focused on Optical Network Technologies (105 papers), Photonic and Optical Devices (65 papers) and Advanced Photonic Communication Systems (53 papers). Adonis Bogris collaborates with scholars based in Greece, United Kingdom and France. Adonis Bogris's co-authors include Dimitris Syvridis, Apostolos Argyris, Peter A. Andrekson, Periklis Petropoulos, Charis Mesaritakis, Stavros Deligiannidis, David J. Richardson, Francesca Parmigiani, Michael Hamacher and K.E. Chlouverakis and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Nature Photonics.

In The Last Decade

Adonis Bogris

150 papers receiving 2.8k citations

Hit Papers

All-optical phase and amplitude regenerator for next-gene... 2010 2026 2015 2020 2010 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adonis Bogris Greece 28 2.4k 1.1k 643 582 528 162 2.9k
Guang-Qiong Xia China 27 1.9k 0.8× 680 0.6× 905 1.4× 911 1.6× 957 1.8× 214 2.6k
Zheng-Mao Wu China 27 1.6k 0.7× 687 0.6× 824 1.3× 828 1.4× 856 1.6× 191 2.6k
Takahisa Harayama Japan 26 956 0.4× 1.0k 1.0× 506 0.8× 979 1.7× 592 1.1× 97 2.1k
Fan-Yi Lin Taiwan 22 1.3k 0.6× 840 0.8× 422 0.7× 618 1.1× 597 1.1× 71 2.0k
K.A. Shore United Kingdom 17 1.3k 0.6× 655 0.6× 421 0.7× 871 1.5× 887 1.7× 104 2.2k
Marc Sciamanna France 33 2.7k 1.1× 1.4k 1.3× 995 1.5× 1.2k 2.1× 1.5k 2.8× 162 4.0k
Wolfgang Elsäßer Germany 26 2.2k 0.9× 1.4k 1.3× 352 0.5× 604 1.0× 1.2k 2.2× 133 3.1k
Yanne K. Chembo France 34 3.0k 1.3× 2.7k 2.5× 775 1.2× 637 1.1× 580 1.1× 117 3.8k
Sze-Chun Chan Hong Kong 24 1.5k 0.6× 1.0k 1.0× 308 0.5× 358 0.6× 376 0.7× 60 1.9k
A. Gavrielides United States 26 1.4k 0.6× 1.0k 1.0× 287 0.4× 589 1.0× 836 1.6× 100 2.2k

Countries citing papers authored by Adonis Bogris

Since Specialization
Citations

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

Fields of papers citing papers by Adonis Bogris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adonis Bogris

This figure shows the co-authorship network connecting the top 25 collaborators of Adonis Bogris. A scholar is included among the top collaborators of Adonis Bogris 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 Adonis Bogris. Adonis Bogris 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.
Deligiannidis, Stavros, et al.. (2026). Photonic Kolmogorov-Arnold networks based on self-phase modulation in nonlinear waveguides. Optics Letters. 51(3). 664–664.
4.
Deligiannidis, Stavros, et al.. (2024). Unconventional Computing Based on Four Wave Mixing in Highly Nonlinear Waveguides. IEEE Journal of Quantum Electronics. 60(4). 1–6. 4 indexed citations
5.
Tsirigotis, A., et al.. (2024). Photonic neuromorphic accelerators for event-based imaging flow cytometry. Scientific Reports. 14(1). 24179–24179. 2 indexed citations
6.
Kamalakis, Thomas, et al.. (2023). Multimode Fabry-Perot laser as a reservoir computing and extreme learning machine photonic accelerator. SHILAP Revista de lepidopterología. 3(4). 44003–44003. 6 indexed citations
7.
Deligiannidis, Stavros, et al.. (2023). Multichannel Nonlinear Equalization in Coherent WDM Systems Based on Bi-Directional Recurrent Neural Networks. Journal of Lightwave Technology. 42(2). 541–549. 5 indexed citations
8.
Deligiannidis, Stavros, et al.. (2023). Recurrent Neural Networks and Recurrent Optical Spectrum Slicers as Equalizers in High Symbol Rate Optical Transmission Systems. Journal of Lightwave Technology. 41(15). 5037–5050. 7 indexed citations
9.
Bowden, Daniel, Νikolaos S. Melis, Andreas Fichtner, et al.. (2023). Earthquake location based on Distributed Acoustic Sensing (DAS) as a seismic array. Physics of The Earth and Planetary Interiors. 344. 107109–107109. 7 indexed citations
10.
Deligiannidis, Stavros, et al.. (2023). Self-Coherent Receiver Based on a Recurrent Optical Spectrum Slicing Neuromorphic Accelerator. Journal of Lightwave Technology. 1–9. 4 indexed citations
11.
Fichtner, Andreas, Adonis Bogris, Daniel Bowden, et al.. (2022). Sensitivity kernels for transmission fibre optics. Geophysical Journal International. 231(2). 1040–1044. 5 indexed citations
12.
Bogris, Adonis, et al.. (2022). Bayesian Photonic Accelerators for Energy Efficient and Noise Robust Neural Processing. IEEE Journal of Selected Topics in Quantum Electronics. 28(6). 1–10. 8 indexed citations
13.
Hong, Yang, Stavros Deligiannidis, Natsupa Taengnoi, et al.. (2022). ML-Assisted Equalization for 50-Gb/s/λ O-Band CWDM Transmission Over 100-km SMF. IEEE Journal of Selected Topics in Quantum Electronics. 28(4). 1–10. 9 indexed citations
14.
Bogris, Adonis, et al.. (2022). High-speed photonic neuromorphic computing using recurrent optical spectrum slicing neural networks. Communications Engineering. 1(1). 32 indexed citations
15.
Fichtner, Andreas, Adonis Bogris, Daniel Bowden, et al.. (2022). Theory of phase transmission fibre-optic deformation sensing. Geophysical Journal International. 231(2). 1031–1039. 18 indexed citations
16.
Bogris, Adonis, Christos Simos, Hercules Simos, et al.. (2022). Sensitive seismic sensors based on microwave frequency fiber interferometry in commercially deployed cables. Scientific Reports. 12(1). 14000–14000. 16 indexed citations
17.
18.
Tong, Zhi, Carl Lundström, Adonis Bogris, et al.. (2009). Measurement of sub-1dB noise figure in a non-degenerate cascaded phase-sensitive fibre parametric amplifier. Chalmers Publication Library (Chalmers University of Technology). 1–2. 3 indexed citations
19.
Chlouverakis, K.E., Apostolos Argyris, Adonis Bogris, & Dimitris Syvridis. (2008). Hurst exponents and cyclic scenarios in a photonic integrated circuit. Physical Review E. 78(6). 66215–66215. 12 indexed citations
20.
Bogris, Adonis, K.E. Chlouverakis, Apostolos Argyris, & Dimitris Syvridis. (2007). Enhancement of the Encryption Efficiency of Chaotic Communications Based on All-optical Feedback Chaos Generation by Means of Subcarrier Modulation. 1–1. 11 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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