M. Gai

17.7k citations
67 papers · 263 indexed · h-index 8
Topics
Adaptive optics and wavefront sensing (34 papers)Stellar, planetary, and galactic studies (26 papers)Astronomy and Astrophysical Research (21 papers)
Partner nations
ItalyFranceChina

In The Last Decade

M. Gai

58 papers receiving 250 citations

Peers

M. Gai
Comparison fields: 5 of 42
  • Astronomy and Astrophysics 167
  • Atomic and Molecular Physics, and Optics 89
  • Instrumentation 62
  • Oceanography 30
  • Aerospace Engineering 28
Replace Francesco Tonolini with:
Francesco Tonolini United Kingdom
Maurice te Plate United States
Brent Ware United States
M. W. Regehr United States
Jean-Baptiste Bayle Germany
L. Di Fiore Italy
Vinzenz Wand Germany
V. Turchaninov Russia
G. Russo Italy
Margarita Safonova India
M. Gai relative to Francesco Tonolini United Kingdom Francesco Tonolini's profile →
Citations per field
00.5×1.6×
Francesco Tonolini · 1×
Citations per year

Countries citing papers authored by M. Gai

Since Specialization
Citations

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

Fields of papers citing papers by M. Gai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Gai

This figure shows the co-authorship network connecting the top 25 collaborators of M. Gai. A scholar is included among the top collaborators of M. Gai 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 M. Gai. M. Gai 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
#WorkIndexed citations
1 0
2 2
3 2
4 2
5 5
6 3
7 9
8
BAM: A METROLOGY DEVICE FOR A HIGH PRECISION ASTROMETRIC MISSION
2
9
A PAthway Towards the Characterization of Habitable Earths (APACHE)
0
10 5
11 5
12 0
13 7
14 3
15 10
16 19
17
Fringe tracking for VLTI and LBT
2
18 36
19
The FINITO Fringe Sensor for VLTI
4
20 14

About M. Gai

M. Gai is a scholar working on Instrumentation, Astronomy and Astrophysics and Atomic and Molecular Physics, and Optics, having authored 67 papers that have together received 263 indexed citations. Recurring topics across this work include Adaptive optics and wavefront sensing (34 papers), Stellar, planetary, and galactic studies (26 papers) and Astronomy and Astrophysical Research (21 papers). The work is most often cited by research in Instrumentation (62 citations), Astronomy and Astrophysics (167 citations) and Atomic and Molecular Physics, and Optics (89 citations). M. Gai has collaborated with scholars based in Italy, France and China. Frequent co-authors include M. G. Lattanzi, R. Cancelliere, Alberto Vecchiato, D. Busonero, M. Crosta, A. Riva, B. Bucciarelli, D. Carollo, F. de Felice and G. Massone. Their work appears in journals such as Scientific Reports, Monthly Notices of the Royal Astronomical Society and Optics Letters.

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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