V. A. Pinto

585 citations
27 papers · 401 · h-index 13

Impact in

    • Ionosphere and magnetosphere dynamics
    • Solar and Space Plasma Dynamics
    • Astro and Planetary Science
  • Geophysics top 10%
    • Earthquake Detection and Analysis

Papers in

V. A. Pinto

25 papers receiving 398 citations

Peers

V. A. Pinto
Comparison fields: 5 of 31
  • Astronomy and Astrophysics 364
  • Geophysics 151
  • Molecular Biology 162
  • Statistical and Nonlinear Physics 19
  • Atmospheric Science 18
Replace G. Pallocchia with:
G. Pallocchia Italy
J. Jahn United States
M. Leitner Austria
G. G. Vertogradov Russia
O. Randriamboarison France
Yuduan Ma China
Junying Yang China
Heather Ratcliffe United Kingdom
K. R. Bromund United States
P. L. Whittlesey United States
V. A. Pinto relative to G. Pallocchia Italy G. Pallocchia's profile →
Citations per field
00.5×3.7×
G. Pallocchia · 1×
Citations per year

Countries citing papers authored by V. A. Pinto

Since Specialization
Citations

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

Fields of papers citing papers by V. A. Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201751
2 201537
3 201137
4 201529
5 202129
6 201726
7 202026
8 201820
9 202220
10 201116
11 202013
12 201913
13 201813
14 201812
15 202211
16 201911
17 20197
18 20207
19 20227
20 20236

About V. A. Pinto

V. A. Pinto is a scholar working on Astronomy and Astrophysics, Molecular Biology, Geophysics, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics, having authored 27 papers that have together received 401 indexed citations. Recurring topics across this work include Ionosphere and magnetosphere dynamics (25 papers), Solar and Space Plasma Dynamics (19 papers), Geomagnetism and Paleomagnetism Studies (15 papers), Earthquake Detection and Analysis (13 papers), Advanced Thermodynamics and Statistical Mechanics (1 paper), Relativity and Gravitational Theory (1 paper), Advanced X-ray Imaging Techniques (1 paper) and Atomic and Molecular Physics (1 paper). The work is most often cited by research in Astronomy and Astrophysics (364 citations), Geophysics (151 citations), Molecular Biology (162 citations), Statistical and Nonlinear Physics (19 citations) and Atmospheric Science (18 citations). V. A. Pinto has collaborated with scholars based in United States, Chile and Russia. Frequent co-authors include Pablo S. Moya, M. V. Stepanova, Е. Е. Антонова, L. R. Lyons, D. G. Sibeck, J. A. Valdivia, D. N. Baker, S. G. Kanekal, H.‐J. Kim and Jacob Bortnik. Their work appears in journals such as Geophysical Research Letters, Frontiers in Astronomy and Space Sciences, Space Weather, Journal of Atmospheric and Solar-Terrestrial Physics 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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