A. Riva

35.5k citations
49 papers · 181 · h-index 5

Impact in

Papers in

A. Riva

41 papers receiving 176 citations

Peers

A. Riva
Comparison fields: 5 of 32
  • Instrumentation 32
  • Astronomy and Astrophysics 75
  • Atomic and Molecular Physics, and Optics 110
  • Nuclear and High Energy Physics 33
  • Acoustics and Ultrasonics 2
Replace K. G. Sukhatme with:
K. G. Sukhatme United States
Reza Katebi United States
Gautam Vasisht United States
Jordan Stone United States
Michel Lintz France
E. Le Coarer France
Bruce Pirger United States
G. Weigelt Germany
William D. Heacox United States
Christopher Q. Trinh Australia
A. Riva relative to K. G. Sukhatme United States K. G. Sukhatme's profile →
Citations per field
00.5×3.7×
K. G. Sukhatme · 1×
Citations per year

Countries citing papers authored by A. Riva

Since Specialization
Citations

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

Fields of papers citing papers by A. Riva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199842
2 199733
3 199618
4 199816
5 20224
6 20204
7 20124
8 20224
9 20223
10 20163
11 20123
12 20133
13 20223
14
BAM/DASS: Data Analysis Software for Sub-Microarcsecond Astrometry Device
20102
15
BAM: A METROLOGY DEVICE FOR A HIGH PRECISION ASTROMETRIC MISSION
20142
16 20222
17 20122
18 20102
19 20082
20 20162

About A. Riva

A. Riva is a scholar working on Astronomy and Astrophysics, Atomic and Molecular Physics, and Optics, Instrumentation, Computational Mechanics and Aerospace Engineering, having authored 49 papers that have together received 181 indexed citations. Recurring topics across this work include Adaptive optics and wavefront sensing (19 papers), Stellar, planetary, and galactic studies (18 papers), Astronomy and Astrophysical Research (16 papers), Solar and Space Plasma Dynamics (10 papers), Astronomical Observations and Instrumentation (10 papers), Geophysics and Gravity Measurements (7 papers), Calibration and Measurement Techniques (5 papers) and Advanced optical system design (3 papers). The work is most often cited by research in Instrumentation (32 citations), Astronomy and Astrophysics (75 citations), Atomic and Molecular Physics, and Optics (110 citations), Nuclear and High Energy Physics (33 citations) and Acoustics and Ultrasonics (2 citations). A. Riva has collaborated with scholars based in Italy, China and Spain. Frequent co-authors include G. Ruoso, C. Rizzo, Franco Perrone, F. Della Valle, G. Zavattini, M. Gai, F. Brandi, D. Busonero, M. G. Lattanzi and Alberto Vecchiato. Their work appears in journals such as Publications of the Astronomical Society of the Pacific, Review of Scientific Instruments, Applied Sciences, Journal of the Optical Society of America B and Nature Astronomy.

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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