A. Riva

33.9k citations
48 papers · 179 · h-index 5

Impact in

Papers in

A. Riva

41 papers receiving 174 citations

Peers

A. Riva
Comparison fields: 5 of 34
  • Instrumentation 32
  • Astronomy and Astrophysics 74
  • 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
T. Steinmetz Germany
Reza Katebi United States
Samuel Halverson United States
M. Morii Japan
Gautam Vasisht United States
Jordan Stone United States
G. Weigelt Germany
E. Le Coarer France
Bruce Pirger United States
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 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199842
2 199733
3 199617
4 199816
5 20224
6 20124
7 20204
8 20223
9 20163
10 20133
11 20223
12 20223
13 20123
14 20222
15
BAM/DASS: Data Analysis Software for Sub-Microarcsecond Astrometry Device
20102
16
BAM: A METROLOGY DEVICE FOR A HIGH PRECISION ASTROMETRIC MISSION
20142
17 20102
18 20162
19 20122
20 20122

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 48 papers that have together received 179 indexed citations. Recurring topics across this work include Adaptive optics and wavefront sensing (18 papers), Stellar, planetary, and galactic studies (17 papers), Astronomy and Astrophysical Research (15 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 (74 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, G. Zavattini, Franco Perrone, C. Rizzo, F. Della Valle, 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, Frontiers in Astronomy and Space Sciences, Quantum and Semiclassical Optics Journal of the European Optical Society Part B, Nature Astronomy and Applied Sciences.

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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