Davide Grassani

2.0k citations
40 papers · 1.3k · h-index 17

Impact in

Papers in

Davide Grassani

36 papers receiving 1.2k citations

Peers

Davide Grassani
Comparison fields: 5 of 36
  • Atomic and Molecular Physics, and Optics 1.0k
  • Electrical and Electronic Engineering 1.1k
  • Acoustics and Ultrasonics 9
  • Artificial Intelligence 317
  • Spectroscopy 63
Replace Kamel Bencheikh with:
Kamel Bencheikh France
Josef Fürst Germany
Warren Jin United States
D. Birkedal Denmark
N. Iizuka Japan
Marc Jankowski United States
L. Krainer Switzerland
Jared Hulme United States
Nicolas Volet United States
Dajian Liu China
Davide Grassani relative to Kamel Bencheikh France Kamel Bencheikh's profile →
Citations per field
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Citations per year

Countries citing papers authored by Davide Grassani

Since Specialization
Citations

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

Fields of papers citing papers by Davide Grassani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Davide Grassani, 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 Davide Grassani Line = papers co-authored together Davide Grassani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018187
2 2015175
3 2012164
4 2019140
5 2017101
6 201267
7
Integrated Source of Spectrally Filtered Correlated Photons for Large-Scale Quantum Photonic Systems
201466
8 202355
9 201350
10 201435
11 201630
12 201924
13 201121
14 202020
15 201719
16 201618
17 201817
18 201416
19 202114
20 20225

About Davide Grassani

Davide Grassani is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Spectroscopy and Mechanical Engineering, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Photonic and Optical Devices (33 papers), Advanced Fiber Laser Technologies (28 papers), Mechanical and Optical Resonators (13 papers), Optical Network Technologies (7 papers), Photorefractive and Nonlinear Optics (7 papers), Photonic Crystal and Fiber Optics (7 papers), Quantum Information and Cryptography (6 papers) and Laser-Matter Interactions and Applications (3 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.0k citations), Electrical and Electronic Engineering (1.1k citations), Acoustics and Ultrasonics (9 citations), Artificial Intelligence (317 citations) and Spectroscopy (63 citations). Davide Grassani has collaborated with scholars based in Switzerland, Italy and United Kingdom. Frequent co-authors include Camille‐Sophie Brès, Mattéo Galli, Daniele Bajoni, Tobias J. Kippenberg, Marco Liscidini, Stefano Azzini, Michael J. Strain, Martin H. P. Pfeiffer, J. E. Sipe and Marc Sorel. Their work appears in journals such as Optics Letters, Optics Express, Applied Physics Letters, Nature Communications and Scientific Reports.

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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