Lorenzo Pavesi

22.9k total citations · 2 hit papers
558 papers, 16.5k citations indexed

About

Lorenzo Pavesi is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Lorenzo Pavesi has authored 558 papers receiving a total of 16.5k indexed citations (citations by other indexed papers that have themselves been cited), including 410 papers in Electrical and Electronic Engineering, 287 papers in Materials Chemistry and 223 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Lorenzo Pavesi's work include Silicon Nanostructures and Photoluminescence (262 papers), Photonic and Optical Devices (208 papers) and Nanowire Synthesis and Applications (159 papers). Lorenzo Pavesi is often cited by papers focused on Silicon Nanostructures and Photoluminescence (262 papers), Photonic and Optical Devices (208 papers) and Nanowire Synthesis and Applications (159 papers). Lorenzo Pavesi collaborates with scholars based in Italy, Spain and France. Lorenzo Pavesi's co-authors include F. Priolo, Cláudio Mazzoleni, Stefano Ossicini, Luca Dal Negro, G. Franzò, O. Bisi, Mher Ghulinyan, G. Pucker, N. Daldosso and Z. Gaburro and has published in prestigious journals such as Nature, Physical Review Letters and Nature Communications.

In The Last Decade

Lorenzo Pavesi

541 papers receiving 16.0k citations

Hit Papers

Optical gain in silicon nanocrystals 2000 2026 2008 2017 2000 2000 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lorenzo Pavesi Italy 60 11.1k 9.9k 6.9k 6.8k 784 558 16.5k
M. G. Lagally United States 69 8.0k 0.7× 5.3k 0.5× 4.2k 0.6× 11.1k 1.6× 1.1k 1.4× 343 17.7k
H. Kurz Germany 69 11.8k 1.1× 5.1k 0.5× 4.4k 0.6× 7.3k 1.1× 301 0.4× 505 16.7k
D. Rugar United States 53 5.7k 0.5× 2.8k 0.3× 4.2k 0.6× 11.8k 1.7× 520 0.7× 138 13.9k
Dianyuan Fan China 65 8.1k 0.7× 6.7k 0.7× 5.2k 0.7× 8.9k 1.3× 565 0.7× 494 17.9k
Hongkun Park United States 75 11.8k 1.1× 13.6k 1.4× 9.2k 1.3× 10.2k 1.5× 1.6k 2.0× 148 27.9k
N. Peyghambarian United States 65 11.5k 1.0× 5.0k 0.5× 2.2k 0.3× 9.4k 1.4× 332 0.4× 588 17.2k
Igor Aharonovich Australia 58 3.9k 0.4× 9.1k 0.9× 3.2k 0.5× 5.3k 0.8× 1.3k 1.6× 285 12.8k
David R. Reichman United States 64 6.7k 0.6× 12.2k 1.2× 2.4k 0.3× 6.0k 0.9× 569 0.7× 213 18.9k
Min Xiao United States 79 13.5k 1.2× 7.4k 0.8× 2.4k 0.4× 14.0k 2.0× 3.4k 4.3× 582 26.6k
Arnan Mitchell Australia 63 10.0k 0.9× 2.5k 0.3× 4.9k 0.7× 5.8k 0.9× 1.1k 1.4× 476 17.1k

Countries citing papers authored by Lorenzo Pavesi

Since Specialization
Citations

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

Fields of papers citing papers by Lorenzo Pavesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenzo Pavesi

This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Pavesi. A scholar is included among the top collaborators of Lorenzo Pavesi 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 Lorenzo Pavesi. Lorenzo Pavesi 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.
Biasi, Stefano, et al.. (2025). Reservoir Computing with All‐Optical Non‐Fading Memory in a Self‐Pulsing Microresonator Network. Advanced Optical Materials. 13(11). 2 indexed citations
2.
Ali, Salamat, et al.. (2025). Optimized photon routing with a silicon 3 × 3 waveguide coupler device. Optics Express. 33(6). 14035–14035.
3.
Biasi, Stefano, et al.. (2025). All-optical spiking processing and reservoir computing with a passive silicon microring and wavelength-time division multiplexing. Photonics Research. 13(9). 2641–2641. 1 indexed citations
4.
Vitali, Valerio, Thalía Domínguez Bucio, Pooja Naik, et al.. (2025). Nonlinear multimode photonics on‐chip. Nanophotonics. 14(15). 2507–2548.
5.
Chen, Yihao, Jin Li, Ke Xu, et al.. (2024). Electrically Reconfigurable Mode Chirality in Integrated Microring Resonators. Laser & Photonics Review. 18(11). 6 indexed citations
6.
Bozzi, Yuri, et al.. (2024). Decoding Epileptic Seizures: Exploring In Vitro Approaches to Unravel Pathophysiology and Propel Future Therapeutic Breakthroughs. Biomedical Materials & Devices. 2(2). 905–917. 2 indexed citations
7.
Biasi, Stefano, et al.. (2024). Exploring the potential of self-pulsing optical microresonators for spiking neural networks and sensing. Communications Physics. 7(1). 380–380. 6 indexed citations
8.
Franchi, Riccardo, et al.. (2024). On the spectral response of a taiji-CROW device. Optics Express. 32(9). 15177–15177. 2 indexed citations
9.
Mancinelli, Mattia, et al.. (2024). Chromatic dispersion compensation via an all-optical perceptron. Institutional Research Information System (Università degli Studi di Trento). 7. 26–26. 1 indexed citations
10.
Silva, Luís C. B., et al.. (2024). Chromatic Distortion Precompensation in OFDM-Based Optical Systems Through an Integrated Silicon Photonic Neural Network. Journal of Lightwave Technology. 43(7). 3034–3040. 3 indexed citations
11.
Franchi, Riccardo, et al.. (2023). Theinfinity-loop microresonator: A new integrated photonic structure working on an exceptional surface. APL Photonics. 8(5). 12 indexed citations
12.
Vignoli, Beatrice, et al.. (2023). An integrated setup for in-vitro optogenetic experiments using AI to localize stimulation. Institutional Research Information System (Università degli Studi di Trento). 11947. 23–23. 1 indexed citations
13.
Biasi, Stefano, et al.. (2023). An array of microresonators as a photonic extreme learning machine. APL Photonics. 8(9). 13 indexed citations
14.
Signorini, Stefano, et al.. (2022). An integrated entangled photons source for mid-infrared ghost spectroscopy. Institutional Research Information System (Università degli Studi di Trento). 69–69. 2 indexed citations
15.
Paesani, Stefano, et al.. (2020). Near-ideal spontaneous photon sources in silicon quantum photonics. Nature Communications. 11(1). 2505–2505. 121 indexed citations
16.
Trenti, Alessandro, Massimo Borghi, Stefano Biasi, et al.. (2018). Thermo-optic coefficient and nonlinear refractive index of silicon oxynitride waveguides. AIP Advances. 8(2). 26 indexed citations
17.
Lockwood, D. J. & Lorenzo Pavesi. (2011). Silicon photonics : components and integration. Springer eBooks. 5 indexed citations
18.
Pavesi, Lorenzo & G. Guillot. (2006). Optical Interconnects: The Silicon Approach (Springer Series in Optical Sciences) (Springer Series in Optical Sciences). Springer eBooks. 21 indexed citations
19.
Pavesi, Lorenzo, et al.. (1996). Porous silicon : silicon quantum dots for photonic applications. Brazilian Journal of Physics. 26(1). 151–162. 11 indexed citations
20.
Ky, Nguyen Hong, Lorenzo Pavesi, D. Araújo, JD Ganière, & F. K. Reinhart. (1991). A model for the Zn diffusion in GaAs by a photoluminescence study. Journal of Applied Physics. 69(11). 7585–7593. 45 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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