G. Perona

1.6k citations
122 papers · 1.2k · h-index 19

Impact in

  • Equine top 2%
    • Veterinary Equine Medical Research
    • Precipitation Measurement and Analysis
    • Meteorological Phenomena and Simulations

Papers in

G. Perona

105 papers receiving 1.1k citations

Peers

G. Perona
Comparison fields: 5 of 123
  • Equine 100
  • Atmospheric Science 337
  • Small Animals 125
  • Animal Science and Zoology 144
  • Environmental Engineering 187
Replace Jaan Praks with:
Jaan Praks Finland
Giuseppe Crescenzo Italy
Jean‐François Beckers Belgium
W. M. Adams United States
Peter Stevenson United Kingdom
Philip Turk United States
Ralph Bogart United States
Dawei Liu China
Satoshi Noguchi Japan
Anup Das India
G. Perona relative to Jaan Praks Finland Jaan Praks's profile →
Citations per field
00.5×10×14.3×
Jaan Praks · 1×
Citations per year

Countries citing papers authored by G. Perona

Since Specialization
Citations

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

Fields of papers citing papers by G. Perona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019155
2 201562
3 201145
4 199841
5 200639
6 200035
7 201231
8 197231
9 200531
10 197830
11 200129
12 200827
13 200525
14 199425
15 199524
16 201924
17 200524
18 197821
19 201119
20 201717

About G. Perona

G. Perona is a scholar working on Atmospheric Science, Environmental Engineering, Aerospace Engineering, Astronomy and Astrophysics and Global and Planetary Change, having authored 122 papers that have together received 1.2k indexed citations. Recurring topics across this work include Precipitation Measurement and Analysis (34 papers), Meteorological Phenomena and Simulations (31 papers), Soil Moisture and Remote Sensing (27 papers), Ionosphere and magnetosphere dynamics (14 papers), Radio Wave Propagation Studies (11 papers), Atmospheric aerosols and clouds (9 papers), Solar and Space Plasma Dynamics (9 papers) and GNSS positioning and interference (8 papers). The work is most often cited by research in Equine (100 citations), Atmospheric Science (337 citations), Small Animals (125 citations), Animal Science and Zoology (144 citations) and Environmental Engineering (187 citations). G. Perona has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Marco Gabella, Manuela Renna, Jürg Joss, Silas Michaelides, Achille Schiavone, Riccardo Notarpietro, Elisabetta Macchi, Antonio Mimosi, Paolo Cornale and E. Antonucci. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Journal of Applied Animal Welfare Science, BMC Veterinary Research, The Astrophysical Journal and Animal Research.

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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