Nicolas Dupuis

1.2k total citations
57 papers, 891 citations indexed

About

Nicolas Dupuis is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Nicolas Dupuis has authored 57 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Electrical and Electronic Engineering, 10 papers in Artificial Intelligence and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Nicolas Dupuis's work include Photonic and Optical Devices (48 papers), Optical Network Technologies (45 papers) and Advanced Photonic Communication Systems (33 papers). Nicolas Dupuis is often cited by papers focused on Photonic and Optical Devices (48 papers), Optical Network Technologies (45 papers) and Advanced Photonic Communication Systems (33 papers). Nicolas Dupuis collaborates with scholars based in United States, France and Germany. Nicolas Dupuis's co-authors include Benjamin G. Lee, Christian Baks, Clint L. Schow, C.R. Doerr, Alexander Rylyakov, Daniel M. Kuchta, D. M. Gill, William M. J. Green, Jason S. Orcutt and Liming Zhang and has published in prestigious journals such as Optics Letters, IEEE Access and Journal of Lightwave Technology.

In The Last Decade

Nicolas Dupuis

57 papers receiving 831 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Dupuis United States 16 851 242 151 41 32 57 891
Harmen J. S. Dorren Netherlands 7 532 0.6× 264 1.1× 106 0.7× 53 1.3× 62 1.9× 10 572
Y. Suzaki Japan 12 671 0.8× 246 1.0× 53 0.4× 59 1.4× 61 1.9× 49 692
O. Raz Netherlands 17 991 1.2× 297 1.2× 49 0.3× 87 2.1× 65 2.0× 131 1.0k
Satoshi Suda Japan 15 1.1k 1.3× 431 1.8× 151 1.0× 26 0.6× 54 1.7× 82 1.1k
David M. Calhoun United States 8 351 0.4× 113 0.5× 58 0.4× 39 1.0× 17 0.5× 14 373
Dessislava Nikolova United States 10 428 0.5× 122 0.5× 67 0.4× 34 0.8× 27 0.8× 21 444
Kyriakos E. Zoiros Greece 28 2.2k 2.5× 826 3.4× 233 1.5× 23 0.6× 54 1.7× 135 2.2k
Ryotaro Konoike Japan 14 641 0.8× 242 1.0× 124 0.8× 17 0.4× 55 1.7× 69 673
Zhi Qu China 5 272 0.3× 194 0.8× 33 0.2× 24 0.6× 31 1.0× 18 325
T. Alexoudi Greece 13 525 0.6× 98 0.4× 175 1.2× 37 0.9× 40 1.3× 46 555

Countries citing papers authored by Nicolas Dupuis

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Dupuis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Dupuis

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Dupuis. A scholar is included among the top collaborators of Nicolas Dupuis 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 Nicolas Dupuis. Nicolas Dupuis 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.
Dupuis, Nicolas, Ravi Nair, Shyam Ramji, et al.. (2025). Customizing a Large Language Model for VHDL Design of High-Performance Microprocessors. 149–155. 1 indexed citations
2.
Dupuis, Nicolas, et al.. (2024). Qiskit HumanEval: An Evaluation Benchmark for Quantum Code Generative Models. 1169–1176. 1 indexed citations
3.
Dupuis, Nicolas, et al.. (2024). Qiskit Code Assistant: Training LLMs for generating Quantum Computing Code. 1–4. 8 indexed citations
4.
Pujar, Saurabh, Xiaojie Guo, Nicolas Dupuis, et al.. (2023). Invited: Automated Code generation for Information Technology Tasks in YAML through Large Language Models. 1–4. 9 indexed citations
5.
Dupuis, Nicolas, et al.. (2023). Comparison Between CNN, ViT and CCT for Channel Frequency Response Interpretation and Application to G.Fast. IEEE Access. 11. 24039–24052. 3 indexed citations
6.
Maniotis, Pavlos, Nicolas Dupuis, Laurent Schares, Benjamin G. Lee, & Daniel M. Kuchta. (2022). Intra-node High-performance Computing Network Architecture with Fast Optical Switch Fabrics. 1–4. 1 indexed citations
7.
Forencich, Alex, Nicolas Dupuis, Benjamin G. Lee, et al.. (2020). A Dynamically-Reconfigurable Burst-Mode Link Using a Nanosecond Photonic Switch. Journal of Lightwave Technology. 38(6). 1330–1340. 12 indexed citations
8.
Dupuis, Nicolas, Fuad E. Doany, R. Budd, et al.. (2019). A $4$ × $4$ Electrooptic Silicon Photonic Switch Fabric With Net Neutral Insertion Loss. Journal of Lightwave Technology. 38(2). 178–184. 18 indexed citations
9.
Dupuis, Nicolas, Fuad E. Doany, R. Budd, et al.. (2019). A nonblocking 4×4 Mach-Zehnder switch with integrated gain and nanosecond-scale reconfiguration time. W1E.2–W1E.2. 4 indexed citations
10.
Lee, Benjamin G., Nicolas Dupuis, Jonathan E. Proesel, H. Ainspan, & Christian Baks. (2019). Coarse-Fine Control of Dual-Tuner Mach-Zehnder Interferometer using Identical Low-Resolution DACs. 35. 1–2. 1 indexed citations
11.
Dupuis, Nicolas, Jonathan E. Proesel, H. Ainspan, et al.. (2019). Nanosecond photonic switch architectures demonstrated in an all-digital monolithic platform. Optics Letters. 44(15). 3610–3610. 12 indexed citations
12.
Lee, Benjamin G., Nicolas Dupuis, Jonathan E. Proesel, H. Ainspan, & Christian Baks. (2019). Fine-Tuning of Mach–Zehnder Phase Using Low-Resolution Digital-to-Analog Converters. IEEE Photonics Technology Letters. 31(19). 1573–1575. 3 indexed citations
13.
Lee, Benjamin G., Nicolas Dupuis, Jason S. Orcutt, et al.. (2018). SiGe-Driven Hybrid-Integrated Silicon Photonic Link Using Optical-Domain Equalization. Journal of Lightwave Technology. 37(1). 89–94. 4 indexed citations
14.
Huynh, Tam N., Nicolas Dupuis, Renato Rímolo-Donadío, et al.. (2016). Flexible Silicon Photonic Transmitter with Segmented Modulator and 32 nm CMOS Driver IC. Conference on Lasers and Electro-Optics. 3. STh4E.1–STh4E.1. 2 indexed citations
15.
Dupuis, Nicolas, Alexander Rylyakov, Clint L. Schow, et al.. (2016). Nanosecond-scale Mach-Zehnder-based CMOS Photonic Switch Fabrics. Journal of Lightwave Technology. 1–1. 32 indexed citations
16.
Dupuis, Nicolas. (2015). Technologies for fast, scalable silicon photonic switches. 100–102. 1 indexed citations
17.
Dupuis, Nicolas, Benjamin G. Lee, Alexander Rylyakov, et al.. (2015). Modeling and Characterization of a Nonblocking $4\times 4$ Mach–Zehnder Silicon Photonic Switch Fabric. Journal of Lightwave Technology. 33(20). 4329–4337. 44 indexed citations
18.
Doerr, C.R., Nicolas Dupuis, & Liming Zhang. (2011). Optical isolator using two tandem phase modulators. Optics Letters. 36(21). 4293–4293. 70 indexed citations
19.
Dupuis, Nicolas, J. Décobert, Christophe Jany, et al.. (2008). 10-Gb/s AlGaInAs Colorless Remote Amplified Modulator by Selective Area Growth for Wavelength Agnostic Networks. IEEE Photonics Technology Letters. 20(21). 1808–1810. 20 indexed citations
20.
Dupuis, Nicolas, J. Décobert, Christophe Jany, et al.. (2008). Selective area growth engineering for 80nm spectral range AlGaInAs 10Gbit/s remote amplified modulator. 298. 1–3. 1 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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