G. D’Alessandro

2.3k citations
83 papers · 1.7k · h-index 19

Impact in

Papers in

G. D’Alessandro

81 papers receiving 1.6k citations

Peers

G. D’Alessandro
Comparison fields: 5 of 99
  • Statistical and Nonlinear Physics 329
  • Neurology 369
  • Computer Networks and Communications 492
  • Atomic and Molecular Physics, and Optics 664
  • Cellular and Molecular Neuroscience 370
Replace D. Hennig with:
D. Hennig Germany
Damien Querlioz France
Steven Strong United States
Takashi Teramoto Japan
Lianchun Yu China
H. M. Lai Hong Kong
C. Granata Italy
Oleksandr V. Popovych Germany
Martin Krupa United States
Shigeru Tanaka Japan
G. D’Alessandro relative to D. Hennig Germany D. Hennig's profile →
Citations per field
00.5×10×15×17.6×
D. Hennig · 1×
Citations per year

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-authors

The 25 scholars most cited alongside G. D’Alessandro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. D’Alessandro Line = papers co-authored together G. D’Alessandro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991187
2 2003183
3 2005177
4 1992154
5 2011102
6 199162
7 200553
8 199352
9 200545
10 199038
11 199038
12 199235
13 202234
14 199131
15 199729
16 200627
17 201424
18 199224
19 202219
20 202115

About G. D’Alessandro

G. D’Alessandro is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 83 papers that have together received 1.7k indexed citations. Recurring topics across this work include Liquid Crystal Research Advancements (26 papers), Photonic and Optical Devices (25 papers), Advanced Fiber Laser Technologies (21 papers), Nonlinear Dynamics and Pattern Formation (15 papers), Photonic Crystals and Applications (14 papers), Photorefractive and Nonlinear Optics (8 papers), Semiconductor Lasers and Optical Devices (8 papers) and Mechanical and Optical Resonators (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (329 citations), Neurology (369 citations), Computer Networks and Communications (492 citations), Atomic and Molecular Physics, and Optics (664 citations) and Cellular and Molecular Neuroscience (370 citations). G. D’Alessandro has collaborated with scholars based in United Kingdom, Italy and France. Frequent co-authors include W. J. Firth, Liliana García, Constance Hammond, Bernard Bioulac, Gian‐Luca Oppo, Malgosia Kaczmarek, Antonio Politi, Jacques Audin, F. Papoff and Nina Podoliak. Their work appears in journals such as Physical Review A, Journal of the Optical Society of America B, Physical Review Letters, Optics Letters and Optics Communications.

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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