Julián Bueno

790 total citations
16 papers, 563 citations indexed

About

Julián Bueno is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Julián Bueno has authored 16 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 15 papers in Artificial Intelligence and 3 papers in Cognitive Neuroscience. Recurrent topics in Julián Bueno's work include Neural Networks and Reservoir Computing (15 papers), Photonic and Optical Devices (11 papers) and Optical Network Technologies (10 papers). Julián Bueno is often cited by papers focused on Neural Networks and Reservoir Computing (15 papers), Photonic and Optical Devices (11 papers) and Optical Network Technologies (10 papers). Julián Bueno collaborates with scholars based in United Kingdom, Spain and China. Julián Bueno's co-authors include Antonio Hurtado, Joshua Robertson, Matéj Hejda, Ingo Fischer, Miguel C. Soriano, Daniel Brunner, Shuiying Xiang, Juan Arturo Alanis, Yahui Zhang and Apostolos Argyris and has published in prestigious journals such as Scientific Reports, Optics Express and IEEE Access.

In The Last Decade

Julián Bueno

16 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julián Bueno United Kingdom	10	532	512	68	40	29	16	563
Joshua Robertson United Kingdom	16	722 1.4×	697 1.4×	136 2.0×	59 1.5×	38 1.3×	38	771
Matéj Hejda United Kingdom	14	489 0.9×	456 0.9×	74 1.1×	46 1.1×	8 0.3×	35	549
François Duport France	9	598 1.1×	564 1.1×	48 0.7×	65 1.6×	31 1.1×	29	646
Pauline Mechet Belgium	10	820 1.5×	699 1.4×	93 1.4×	169 4.2×	31 1.1×	21	884
Kristof Vandoorne Belgium	6	1.0k 1.9×	1.0k 2.0×	125 1.8×	60 1.5×	50 1.7×	14	1.1k
Hsuan-Tung Peng United States	16	1.4k 2.7×	1.4k 2.7×	64 0.9×	104 2.6×	16 0.6×	35	1.5k
Charis Mesaritakis Greece	14	631 1.2×	364 0.7×	22 0.3×	215 5.4×	17 0.6×	70	705
A. Baylón-Fuentes Mexico	3	246 0.5×	286 0.6×	51 0.8×	29 0.7×	52 1.8×	6	317
Weifang Huang China	9	211 0.4×	210 0.4×	126 1.9×	32 0.8×	97 3.3×	24	411
Piotr Antonik Belgium	9	313 0.6×	356 0.7×	67 1.0×	12 0.3×	25 0.9×	21	402

Countries citing papers authored by Julián Bueno

Since Specialization

Citations

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

Fields of papers citing papers by Julián Bueno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julián Bueno

This figure shows the co-authorship network connecting the top 25 collaborators of Julián Bueno. A scholar is included among the top collaborators of Julián Bueno 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 Julián Bueno. Julián Bueno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Robertson, Joshua, Paul Kirkland, Juan Arturo Alanis, et al.. (2022). Ultrafast neuromorphic photonic image processing with a VCSEL neuron. Scientific Reports. 12(1). 4874–4874. 53 indexed citations

Kaiser, W., et al.. (2022). Highly Reliable 106 Gb/s PAM-4 850 nm Multi-Mode VCSEL for 800G Ethernet Applications. Optical Fiber Communication Conference (OFC) 2022. Tu2D.5–Tu2D.5. 8 indexed citations

Hejda, Matéj, Joshua Robertson, Julián Bueno, Juan Arturo Alanis, & Antonio Hurtado. (2021). Neuromorphic encoding of image pixel data into rate-coded optical spike trains with a photonic VCSEL-neuron. APL Photonics. 6(6). 33 indexed citations

Zhang, Yahui, Joshua Robertson, Shuiying Xiang, et al.. (2021). All-optical neuromorphic binary convolution with a spiking VCSEL neuron for image gradient magnitudes. Photonics Research. 9(5). B201–B201. 54 indexed citations

Bueno, Julián, Joshua Robertson, Matéj Hejda, & Antonio Hurtado. (2021). Comprehensive Performance Analysis of a VCSEL-Based Photonic Reservoir Computer. IEEE Photonics Technology Letters. 33(16). 920–923. 31 indexed citations

Bueno, Julián, Joshua Robertson, Matéj Hejda, & Antonio Hurtado. (2020). Experimental Implementation of a Photonic Neural Network with a 1550nm-VCSEL subject to Optical Injection and Delayed Optical Feedback. 1–2. 1 indexed citations

Robertson, Joshua, Matéj Hejda, Julián Bueno, & Antonio Hurtado. (2020). Ultrafast optical integration and pattern classification for neuromorphic photonics based on spiking VCSEL neurons. Scientific Reports. 10(1). 6098–6098. 75 indexed citations

Hejda, Matéj, Joshua Robertson, Julián Bueno, & Antonio Hurtado. (2020). VCSELs for fast neuromorphic photonic systems operating at GHz rates. T4C.1–T4C.1. 1 indexed citations

Robertson, Joshua, Yahui Zhang, Matéj Hejda, et al.. (2020). Image edge detection with a photonic spiking VCSEL-neuron. Optics Express. 28(25). 37526–37526. 25 indexed citations

10.

Robertson, Joshua, Matéj Hejda, Yahui Zhang, et al.. (2020). Neuromorphic Object Edge Detection with Artifical Photonic Spiking VCSEL-Neurons. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 1–2. 3 indexed citations

11.

Hejda, Matéj, Joshua Robertson, Julián Bueno, & Antonio Hurtado. (2020). Spike-based information encoding in vertical cavity surface emitting lasers for neuromorphic photonic systems. Journal of Physics Photonics. 2(4). 44001–44001. 26 indexed citations

12.

Argyris, Apostolos, Julián Bueno, & Ingo Fischer. (2019). PAM-4 Transmission at 1550 nm Using Photonic Reservoir Computing Post-Processing. IEEE Access. 7. 37017–37025. 33 indexed citations

13.

Robertson, Joshua, et al.. (2019). Toward Neuromorphic Photonic Networks of Ultrafast Spiking Laser Neurons. IEEE Journal of Selected Topics in Quantum Electronics. 26(1). 1–15. 81 indexed citations

14.

Bueno, Julián, Daniel Brunner, Miguel C. Soriano, & Ingo Fischer. (2017). Conditions for reservoir computing performance using semiconductor lasers with delayed optical feedback. Optics Express. 25(3). 2401–2401. 132 indexed citations

15.

Argyris, Apostolos, Julián Bueno, & Ingo Fischer. (2017). Post-processing of Long-haul and Ethernet Optical Transmission Signals Using Photonic Reservoir Computing. 1–3. 3 indexed citations

16.

Argyris, Apostolos, Julián Bueno, Miguel C. Soriano, & Ingo Fischer. (2017). Improving detection in optical communications using all-optical reservoir computing. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 1–1. 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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