José Azaña

13.0k total citations · 1 hit paper
425 papers, 7.3k citations indexed

About

José Azaña is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, José Azaña has authored 425 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 392 papers in Electrical and Electronic Engineering, 345 papers in Atomic and Molecular Physics, and Optics and 32 papers in Artificial Intelligence. Recurrent topics in José Azaña's work include Advanced Fiber Laser Technologies (308 papers), Photonic and Optical Devices (227 papers) and Advanced Photonic Communication Systems (220 papers). José Azaña is often cited by papers focused on Advanced Fiber Laser Technologies (308 papers), Photonic and Optical Devices (227 papers) and Advanced Photonic Communication Systems (220 papers). José Azaña collaborates with scholars based in Canada, China and Spain. José Azaña's co-authors include Miguel A. Muriel, Yongwoo Park, Luis Romero Cortés, Mykola Kulishov, Roberto Morandotti, Radan Slavı́k, Lawrence R. Chen, Hugues Guillet de Chatellus, Ming Li and Reza Maram and has published in prestigious journals such as Nature, Physical Review Letters and Nature Communications.

In The Last Decade

José Azaña

390 papers receiving 7.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

On-chip generation of high-dimensional entangled quantum states and their coherent control

2017 525 citations Michael Kues, Christian Reimer et al. profile →

Peers

José Azaña

EEE

AMPO

AI

BE

SNP

Raymond G. Beausoleil United States

Ming Li China

Marco Fiorentino United States

Songnian Fu China

Sergey A. Babin Russia

Nicolas K. Fontaine United States

Peter J. Winzer United States

Yoshitomo Okawachi United States

Andrea Melloni Italy

Jianping Yao Canada

Raymond G. Beausoleil United States

José Azaña

5.5k ×0.9

EEE

4.5k ×0.8

AMPO

1.5k ×1.6

AI

830 ×2.1

BE

65 ×0.3

SNP

Citations per year, relative to José Azaña José Azaña (= 1×) peers Raymond G. Beausoleil

Countries citing papers authored by José Azaña

Since Specialization

Citations

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

Fields of papers citing papers by José Azaña

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Azaña

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Montaut, Nicola, Stefania Sciara, Mario Chemnitz, et al.. (2025). Exploiting Nonlocal Correlations for Dispersion-Resilient Quantum Communications. Physical Review Letters. 134(22). 220801–220801.

2.

Röwe, M., et al.. (2025). Real-Time Spectrum Monitoring System for Next-Generation High-Capacity Optical Networks. Journal of Lightwave Technology. 43(14). 6469–6483.

3.

Röwe, M., et al.. (2024). Versatile Photonic Spectrograms for Ultrafast Real-Time Broadband Microwave Signal Analysis. IEEE Transactions on Microwave Theory and Techniques. 73(6). 3424–3441. 1 indexed citations

4.

Aadhi, A., et al.. (2024). Optics‐Enabled Highly Scalable Inverter for Multi‐Valued Logic. Laser & Photonics Review. 18(12). 2301046–2301046. 1 indexed citations

5.

Röwe, M., et al.. (2024). Fiber-optic spectrum monitoring of wavelength-division-multiplexed telecommunication signals with MHz update rates. Optics Letters. 49(5). 1245–1245. 1 indexed citations

6.

Macho, Andrés, Daniel Pérez, José Azaña, & J. Capmany. (2023). Analog Programmable‐Photonic Computation. Laser & Photonics Review. 17(10). 4 indexed citations

7.

Azaña, José, et al.. (2023). An Ultra-Fast Temporal Talbot Array Illuminator. Journal of Lightwave Technology. 41(14). 4725–4733. 5 indexed citations

8.

Azaña, José, et al.. (2023). All‐Optical Parametric‐Assisted Oversampling and Decimation for Signal Denoising Amplification. Laser & Photonics Review. 17(6). 5 indexed citations

9.

Röwe, M., et al.. (2023). Capturing ultra-broadband complex-fields of arbitrary duration using a real-time spectrogram. APL Photonics. 8(6). 8 indexed citations

10.

Azaña, José, et al.. (2023). Optical Time-Mapped Spectrograms (II): Fractional Talbot Designs. Journal of Lightwave Technology. 41(16). 5284–5295. 11 indexed citations

11.

Cortés, Luis Romero, et al.. (2022). Passive Amplification and Noise Mitigation of Optical Signals Through Talbot Processing. Journal of Lightwave Technology. 41(3). 797–814. 4 indexed citations

12.

Howe, James van, et al.. (2022). High‐Resolution Time‐Correlated Single‐Photon Counting Using Electro‐Optic Sampling. Laser & Photonics Review. 16(10). 15 indexed citations

13.

Dong, Junliang, Alessandro Tomasino, Boris Le Drogoff, et al.. (2022). Versatile metal-wire waveguides for broadband terahertz signal processing and multiplexing. Nature Communications. 13(1). 741–741. 38 indexed citations

14.

Cortés, Luis Romero, et al.. (2021). Full recovery of ultrafast waveforms lost under noise. Nature Communications. 12(1). 2402–2402. 19 indexed citations

15.

Cortés, Luis Romero, et al.. (2021). Optical signal denoising through temporal passive amplification. Optica. 9(1). 130–130. 30 indexed citations

16.

Cortés, Luis Romero, et al.. (2020). Nonlinear time-lens with improved power efficiency through a discrete multilevel pump. Optics Letters. 45(13). 3557–3557. 12 indexed citations

17.

Reimer, Christian, Yanbing Zhang, Piotr Roztocki, et al.. (2018). On-chip frequency combs and telecommunications signal processing meet quantum optics. Frontiers of Optoelectronics. 11(2). 134–147. 2 indexed citations

18.

Cheng, Rui, et al.. (2018). Optical signal processing based on silicon photonics waveguide Bragg gratings: review. Frontiers of Optoelectronics. 11(2). 163–188. 46 indexed citations

19.

Li, Ming, José Azaña, Ninghua Zhu, & Jianping Yao. (2014). Recent progresses on optical arbitrary waveform generation. Frontiers of Optoelectronics. 7(3). 359–375. 20 indexed citations

20.

Oxenløwe, Leif Katsuo, Radan Slavı́k, Michael Galili, et al.. (2007). Flat-top pulse enabling 640 Gb/s OTDM demultiplexing. ePrints Soton (University of Southampton). 1–1. 3 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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