P. Basili

929 citations
66 papers · 679 · h-index 14

Impact in

Papers in

    • Precipitation Measurement and Analysis 24
    • Meteorological Phenomena and Simulations 23
    • GNSS positioning and interference 12
    • Synthetic Aperture Radar (SAR) Applications and Techniques 9

P. Basili

65 papers receiving 649 citations

Peers

P. Basili
Comparison fields: 5 of 63
  • Atmospheric Science 270
  • Aerospace Engineering 224
  • Oceanography 101
  • Environmental Engineering 117
  • Human-Computer Interaction 43
Replace Jin Ong with:
Jin Ong Singapore
C. Kunz United States
Michael Lichtenstern Germany
Xueying Qin China
Koji SHIBUYA Japan
Jianping Yue China
Benjamin J. Southwell Australia
Roland L. Bowles United States
Koji Iwano Japan
Zhong Liu China
P. Basili relative to Jin Ong Singapore Jin Ong's profile →
Citations per field
00.5×3.9×
Jin Ong · 1×
Citations per year

Countries citing papers authored by P. Basili

Since Specialization
Citations

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

Fields of papers citing papers by P. Basili

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201060
2 201256
3 200956
4 200945
5 199638
6 200833
7 200133
8 200432
9 201125
10 199822
11 201222
12 201021
13 200919
14 201114
15 201213
16 199012
17 199411
18 198110
19 20069
20 20128

About P. Basili

P. Basili is a scholar working on Atmospheric Science, Aerospace Engineering, Environmental Engineering, Astronomy and Astrophysics and Global and Planetary Change, having authored 66 papers that have together received 679 indexed citations. Recurring topics across this work include Precipitation Measurement and Analysis (24 papers), Meteorological Phenomena and Simulations (23 papers), Soil Moisture and Remote Sensing (17 papers), GNSS positioning and interference (12 papers), Atmospheric aerosols and clouds (11 papers), Ionosphere and magnetosphere dynamics (11 papers), Geophysics and Gravity Measurements (10 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (9 papers). The work is most often cited by research in Atmospheric Science (270 citations), Aerospace Engineering (224 citations), Oceanography (101 citations), Environmental Engineering (117 citations) and Human-Computer Interaction (43 citations). P. Basili has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include P. Ciotti, Stefania Bonafoni, Stefan Glasauer, Nazzareno Pierdicca, Markus A. Huber, V. Mattioli, Frank S. Marzano, Sandra Hirche, Thibault Kruse and T. Brandt. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Radio Science, International Journal of Remote Sensing, GPS Solutions and European Journal of Remote Sensing.

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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