Daniel Pérez

4.1k total citations · 2 hit papers
83 papers, 2.6k citations indexed

About

Daniel Pérez is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Daniel Pérez has authored 83 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Electrical and Electronic Engineering, 45 papers in Artificial Intelligence and 10 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Daniel Pérez's work include Optical Network Technologies (60 papers), Photonic and Optical Devices (58 papers) and Neural Networks and Reservoir Computing (45 papers). Daniel Pérez is often cited by papers focused on Optical Network Technologies (60 papers), Photonic and Optical Devices (58 papers) and Neural Networks and Reservoir Computing (45 papers). Daniel Pérez collaborates with scholars based in Spain, United States and United Kingdom. Daniel Pérez's co-authors include J. Capmany, Ivana Gasulla, Wim Bogaerts, David A. B. Miller, Dirk Englund, Andrea Melloni, Francesco Morichetti, Joyce K. S. Poon, Prometheus DasMahapatra and Wei Cao and has published in prestigious journals such as Nature, Nature Communications and Nature Materials.

In The Last Decade

Daniel Pérez

74 papers receiving 2.4k citations

Hit Papers

Programmable photonic circuits 2017 2026 2020 2023 2020 2017 250 500 750
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.

  1. Programmable photonic circuits
    2020 826 citations Daniel Pérez, J. Capmany et al. profile →
  2. Multipurpose silicon photonics signal processor core
    2017 352 citations Daniel Pérez, Ivana Gasulla et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Pérez Spain 23 2.4k 1.4k 807 186 179 83 2.6k
Thach G. Nguyen Australia 29 3.1k 1.3× 775 0.5× 2.3k 2.8× 141 0.8× 197 1.1× 143 3.3k
Ehsan Shah Hosseini United States 20 2.3k 0.9× 370 0.3× 1.3k 1.6× 121 0.7× 359 2.0× 72 2.5k
Rémy Braive France 22 804 0.3× 296 0.2× 950 1.2× 140 0.8× 304 1.7× 69 1.4k
Stefan F. Preble United States 20 1.4k 0.6× 252 0.2× 1.2k 1.4× 121 0.7× 250 1.4× 99 1.6k
Hamed Dalir United States 27 1.8k 0.7× 543 0.4× 736 0.9× 480 2.6× 593 3.3× 159 2.2k
Xingjun Wang China 15 934 0.4× 304 0.2× 576 0.7× 93 0.5× 77 0.4× 43 1.1k
Ying Yu China 22 649 0.3× 231 0.2× 728 0.9× 328 1.8× 389 2.2× 108 1.6k
Xinwan Li China 24 1.6k 0.7× 136 0.1× 709 0.9× 93 0.5× 277 1.5× 132 1.8k
Ali A. Eftekhar United States 24 1.1k 0.5× 138 0.1× 781 1.0× 220 1.2× 459 2.6× 94 1.6k
Hongyan Fu China 27 2.0k 0.8× 140 0.1× 1.2k 1.5× 67 0.4× 334 1.9× 138 2.4k

Countries citing papers authored by Daniel Pérez

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Pérez

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Pérez. A scholar is included among the top collaborators of Daniel Pérez 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 Daniel Pérez. Daniel Pérez 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.
Hurtado, Antonio, et al.. (2025). Programmable Photonic Extreme Learning Machines. Laser & Photonics Review. 19(9).
2.
Pérez, Daniel, et al.. (2025). Programming universal unitary transformations on a general-purpose silicon photonic platform. APL Photonics. 10(2). 1 indexed citations
3.
Ashtiani, Farshid, et al.. (2024). Programmable integrated photonics for topological Hamiltonians. Nature Communications. 15(1). 629–629. 25 indexed citations
4.
Pérez, Daniel, Ana M. Gutierrez, Juan Pêdro Solano Fernández, et al.. (2024). General-purpose programmable photonic processor for advanced radiofrequency applications. Nature Communications. 15(1). 1563–1563. 31 indexed citations
5.
6.
Pérez, Daniel, et al.. (2024). Thermal Crosstalk Modelling and Compensation Methods for Programmable Photonic Integrated Circuits. Journal of Lightwave Technology. 42(22). 7816–7824. 2 indexed citations
7.
Pérez, Daniel, et al.. (2023). Self-configuring programmable silicon photonic filter for integrated microwave photonic processors. APL Photonics. 8(11). 11 indexed citations
8.
Macho, Andrés, Daniel Pérez, José Azaña, & J. Capmany. (2023). Analog Programmable‐Photonic Computation. Laser & Photonics Review. 17(10). 4 indexed citations
9.
Pérez, Daniel, et al.. (2022). Simulation of Highly Coupled Programmable Photonic Circuits. Journal of Lightwave Technology. 1–12. 7 indexed citations
10.
Pérez, Daniel, et al.. (2022). Reconfigurable Activation Functions in Integrated Optical Neural Networks. IEEE Journal of Selected Topics in Quantum Electronics. 28(4). 1–13. 27 indexed citations
11.
Capmany, J. & Daniel Pérez. (2022). A new change of phase. Nature Photonics. 16(7). 479–480. 1 indexed citations
12.
Pérez, Daniel, et al.. (2021). Modeling amplified arbitrary filtered microwave photonic links and systems. Optics Express. 29(10). 14757–14757. 7 indexed citations
13.
Pérez, Daniel, et al.. (2020). Principles, fundamentals, and applications of programmable integrated photonics. Advances in Optics and Photonics. 12(3). 709–709. 63 indexed citations
14.
Pérez, Daniel & J. Capmany. (2019). Scalable analysis for arbitrary photonic integrated waveguide meshes. RiuNet (Politechnical University of Valencia). 48 indexed citations
15.
Pérez, Daniel, et al.. (2019). Integrated photonic tunable basic units using dual-drive directional couplers. Optics Express. 27(26). 38071–38071. 32 indexed citations
16.
Pérez, Daniel, et al.. (2019). Auto-routing algorithm for field-programmable photonic gate arrays. Optics Express. 28(1). 737–737. 38 indexed citations
17.
Pérez, Daniel, Ivana Gasulla, & J. Capmany. (2018). Field-programmable photonic arrays. Optics Express. 26(21). 27265–27265. 65 indexed citations
18.
Pérez, Daniel, et al.. (2018). Programmable True Time Delay Lines Using Integrated Waveguide Meshes. Journal of Lightwave Technology. 36(19). 4591–4601. 36 indexed citations
19.
Pérez, Daniel, Ivana Gasulla, & J. Capmany. (2017). Toward Programmable Microwave Photonics Processors. Journal of Lightwave Technology. 36(2). 519–532. 40 indexed citations
20.
Pérez, Daniel, et al.. (2011). Study of Fragmentation Process of Fused Fluxes Using Air. SHILAP Revista de lepidopterología.

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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