B. Nava

3.3k citations
98 papers · 2.6k · 1 hit paper · h-index 27

Impact in

Papers in

B. Nava

93 papers receiving 2.5k citations

B. Nava's Hit Papers

A new version of the NeQuick ionosphere electron density model 2008 · 607 citations
6070+6+12Years since publication200400600

Peers

B. Nava
Comparison fields: 5 of 50
  • Astronomy and Astrophysics 2.5k
  • Geophysics 1.4k
  • Oceanography 836
  • Aerospace Engineering 1.6k
  • Atmospheric Science 126
Replace Patricia H. Doherty with:
Patricia H. Doherty United States
Andrzej Krankowski Poland
Pierdavide Coïsson Italy
U. J. Lindqwister United States
Giorgiana De Franceschi Italy
Michael Pezzopane Italy
C. Brunini Argentina
Charles S. Carrano United States
Alberto Garcıa Rigo Spain
R. Leitinger Austria
B. Nava relative to Patricia H. Doherty United States Patricia H. Doherty's profile →
Citations per field
00.5×
Patricia H. Doherty · 1×
Citations per year

Countries citing papers authored by B. Nava

Since Specialization
Citations

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

Fields of papers citing papers by B. Nava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A new version of the NeQuick ionosphere electron density model
Hit paper breakdown →
2008607
2 2016195
3 2000185
4 2005172
5 201177
6 201859
7 200658
8 200754
9 201346
10 202042
11 201841
12 201739
13 200538
14 201436
15 202035
16 201232
17 201932
18 201232
19 200729
20 200229

About B. Nava

B. Nava is a scholar working on Astronomy and Astrophysics, Aerospace Engineering, Geophysics, Oceanography and Molecular Biology, having authored 98 papers that have together received 2.6k indexed citations. Recurring topics across this work include Ionosphere and magnetosphere dynamics (92 papers), GNSS positioning and interference (64 papers), Earthquake Detection and Analysis (48 papers), Geophysics and Gravity Measurements (30 papers), Geomagnetism and Paleomagnetism Studies (15 papers), Solar and Space Plasma Dynamics (14 papers), Atmospheric Ozone and Climate (4 papers) and Astro and Planetary Science (3 papers). The work is most often cited by research in Astronomy and Astrophysics (2.5k citations), Geophysics (1.4k citations), Oceanography (836 citations), Aerospace Engineering (1.6k citations) and Atmospheric Science (126 citations). B. Nava has collaborated with scholars based in Italy, Nigeria and United States. Frequent co-authors include S. M. Radicella, Pierdavide Coïsson, R. Leitinger, Anton Kashcheyev, Francisco Azpilicueta, Yenca Migoya‐Orué, Christine Amory‐Mazaudier, Rolland Fleury, Michael Pezzopane and Alessio Pignalberi. Their work appears in journals such as Advances in Space Research, Journal of Atmospheric and Solar-Terrestrial Physics, Radio Science, Journal of Geodesy and Atmosphere.

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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