G. D’Alessandro

2.3k total citations
83 papers, 1.7k citations indexed

About

G. D’Alessandro is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, G. D’Alessandro has authored 83 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Atomic and Molecular Physics, and Optics, 32 papers in Electrical and Electronic Engineering and 29 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in G. D’Alessandro's work include Liquid Crystal Research Advancements (26 papers), Photonic and Optical Devices (25 papers) and Advanced Fiber Laser Technologies (21 papers). G. D’Alessandro is often cited by papers focused on Liquid Crystal Research Advancements (26 papers), Photonic and Optical Devices (25 papers) and Advanced Fiber Laser Technologies (21 papers). G. D’Alessandro collaborates with scholars based in United Kingdom, Italy and France. G. D’Alessandro's co-authors include W. J. Firth, Constance Hammond, Bernard Bioulac, Liliana García, Gian‐Luca Oppo, Malgosia Kaczmarek, Antonio Politi, Jacques Audin, F. Papoff and Nina Podoliak and has published in prestigious journals such as Physical Review Letters, Journal of Neuroscience and ACS Nano.

In The Last Decade

G. D’Alessandro

81 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. D’Alessandro United Kingdom 19 664 492 371 370 369 83 1.7k
D. Hennig Germany 21 937 1.4× 395 0.8× 53 0.1× 108 0.3× 21 0.1× 97 1.7k
Steven Strong United States 16 548 0.8× 74 0.2× 442 1.2× 704 1.9× 15 0.0× 28 2.6k
Damien Querlioz France 32 1.5k 2.2× 197 0.4× 276 0.7× 1.2k 3.2× 20 0.1× 132 5.7k
C. Granata Italy 23 929 1.4× 26 0.1× 224 0.6× 37 0.1× 56 0.2× 136 1.6k
H. M. Lai Hong Kong 23 1.0k 1.5× 18 0.0× 128 0.3× 60 0.2× 63 0.2× 64 1.9k
Alain Nogaret United Kingdom 20 1.1k 1.6× 57 0.1× 71 0.2× 136 0.4× 10 0.0× 104 1.7k
Shigeru Tanaka Japan 24 233 0.4× 69 0.1× 32 0.1× 442 1.2× 16 0.0× 181 2.3k
Ryota Kobayashi Japan 18 120 0.2× 48 0.1× 204 0.5× 246 0.7× 7 0.0× 78 1.3k
Réal Vallée Canada 45 3.1k 4.6× 180 0.4× 236 0.6× 175 0.5× 7 0.0× 283 6.7k
Takashi Teramoto Japan 22 70 0.1× 320 0.7× 27 0.1× 208 0.6× 15 0.0× 72 1.4k

Countries citing papers authored by G. D’Alessandro

Since Specialization
Citations

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

Fields of papers citing papers by G. D’Alessandro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. D’Alessandro. 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 G. D’Alessandro. The network helps show where G. D’Alessandro may publish in the future.

Co-authorship network of co-authors of G. D’Alessandro

This figure shows the co-authorship network connecting the top 25 collaborators of G. D’Alessandro. A scholar is included among the top collaborators of G. D’Alessandro 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 G. D’Alessandro. G. D’Alessandro 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.
Papoff, F., et al.. (2025). Quantum correlations, mixed states, and bistability at the onset of lasing. Physical review. A. 111(1). 2 indexed citations
2.
D’Alessandro, G., et al.. (2023). Coherence buildup and laser thresholds from nanolasers to macroscopic lasers. Physical review. A. 107(6). 5 indexed citations
3.
Buchnev, Oleksandr, et al.. (2023). Topological Learning for the Classification of Disorder: An Application to the Design of Metasurfaces. ACS Nano. 18(1). 5 indexed citations
4.
Petronella, Francesca, Marinella Striccoli, G. D’Alessandro, et al.. (2023). Thermoplasmonic Controlled Optical Absorber Based on a Liquid Crystal Metasurface. ACS Applied Materials & Interfaces. 15(42). 49468–49477. 13 indexed citations
5.
Heiser, T., et al.. (2023). Optical and electrical properties characterisation of photovoltaic spatial-light modulators. Optical Materials Express. 13(6). 1808–1808. 4 indexed citations
6.
Orlova, Tetiana, Piotr Lesiak, Tomasz R. Woliński, et al.. (2022). Tracking the time evolution of soft matter systems via topological structural heterogeneity. Communications Materials. 3(1). 34 indexed citations
7.
Podoliak, Nina, Tetiana Orlova, Antonios G. Kanaras, et al.. (2022). Nanoparticle-Induced Property Changes in Nematic Liquid Crystals. Nanomaterials. 12(3). 341–341. 19 indexed citations
8.
D’Alessandro, G., et al.. (2021). Photon-number squeezing in nano- and microlasers. Applied Physics Letters. 119(10). 10 indexed citations
9.
D’Alessandro, G., et al.. (2021). Thermal, Quantum Antibunching and Lasing Thresholds from Single Emitters to Macroscopic Devices. Physical Review Letters. 126(6). 63902–63902. 15 indexed citations
10.
D’Alessandro, G., G. R. Luckhurst, & T. J. Sluckin. (2017). Twist-bend nematics and beyond. Liquid Crystals. 44(1). 1–3. 2 indexed citations
11.
Bateman, James, et al.. (2014). Light-activated modulation and coupling in integrated polymer–liquid crystal systems. Journal of the Optical Society of America B. 31(12). 3144–3144. 2 indexed citations
12.
Daly, K. R., et al.. (2012). Photorefractive control of surface plasmon polaritons in a hybrid liquid crystal cell. Optics Letters. 37(13). 2436–2436. 13 indexed citations
13.
Podoliak, Nina, Oleksandr Buchnev, G. D’Alessandro, Malgosia Kaczmarek, & T. J. Sluckin. (2010). Large effect of a small bias field in liquid-crystal magnetic transitions. Physical Review E. 82(3). 30701–30701. 5 indexed citations
14.
Papoff, F., G. D’Alessandro, & Gian‐Luca Oppo. (2008). State Dependent Pseudoresonances and Excess Noise. Physical Review Letters. 100(12). 123905–123905. 13 indexed citations
15.
D’Alessandro, G., et al.. (2007). Tracking spatial modes in nearly hemispherical microcavities. Optics Letters. 32(21). 3131–3131. 5 indexed citations
16.
Cannon, Robert C. & G. D’Alessandro. (2006). The Ion Channel Inverse Problem: Neuroinformatics Meets Biophysics. PLoS Computational Biology. 2(8). e91–e91. 27 indexed citations
17.
García, Liliana, G. D’Alessandro, Pierre‐Olivier Fernagut, Bernard Bioulac, & Constance Hammond. (2005). Impact of High-Frequency Stimulation Parameters on the Pattern of Discharge of Subthalamic Neurons. Journal of Neurophysiology. 94(6). 3662–3669. 53 indexed citations
18.
García, Liliana, G. D’Alessandro, Bernard Bioulac, & Constance Hammond. (2005). High-frequency stimulation in Parkinson's disease: more or less?. Trends in Neurosciences. 28(4). 209–216. 177 indexed citations
19.
Brown, Kerry M., Duncan Donohue, G. D’Alessandro, & Giorgio A. Ascoli. (2005). A Cross-Platform Freeware Tool for Digital Reconstruction of Neuronal Arborizations From Image Stacks. Neuroinformatics. 3(4). 343–360. 45 indexed citations
20.
Christensen, Thomas A., G. D’Alessandro, J. Lega, & John G. Hildebrand. (2001). Morphometric modeling of olfactory circuits in the insect antennal lobe: I. Simulations of spiking local interneurons. Biosystems. 61(2-3). 143–153. 14 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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