S. Nava

126 papers receiving 5.0k citations

Peers

S. Nava
Comparison fields: 5 of 124
  • Health, Toxicology and Mutagenesis 3.2k
  • Atmospheric Science 3.3k
  • Radiological and Ultrasound Technology 447
  • Environmental Engineering 1.2k
  • Automotive Engineering 787
Replace F. Lucarelli with:
F. Lucarelli Italy
R. Vecchi Italy
G. Valli Italy
M. Chiari Italy
Giulia Calzolai Italy
Chul‐Un Ro South Korea
Lynn G. Salmon United States
Robert A. Eldred United States
Douglas H. Lowenthal United States
Marco Pandolfi Spain
S. Nava relative to F. Lucarelli Italy F. Lucarelli's profile →
Citations per field
00.5×1.5×
F. Lucarelli · 1×
Citations per year

Countries citing papers authored by S. Nava

Since Specialization
Citations

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

Fields of papers citing papers by S. Nava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008234
2 2007207
3 2017199
4 2013161
5 2008145
6 2008145
7 2016138
8 2011109
9 2010107
10 2006107
11 2015105
12 2012104
13 200597
14 201097
15 200792
16 200887
17 201486
18 200283
19 201377
20 201476

About S. Nava

S. Nava is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis, Radiation, Global and Planetary Change and Radiological and Ultrasound Technology, having authored 128 papers that have together received 5.1k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (78 papers), Air Quality and Health Impacts (60 papers), X-ray Spectroscopy and Fluorescence Analysis (40 papers), Radioactivity and Radon Measurements (24 papers), Nuclear Physics and Applications (21 papers), Air Quality Monitoring and Forecasting (20 papers), Atmospheric aerosols and clouds (19 papers) and Vehicle emissions and performance (14 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (3.2k citations), Atmospheric Science (3.3k citations), Radiological and Ultrasound Technology (447 citations), Environmental Engineering (1.2k citations) and Automotive Engineering (787 citations). S. Nava has collaborated with scholars based in Italy, Spain and Portugal. Frequent co-authors include F. Lucarelli, Giulia Calzolai, M. Chiari, R. Vecchi, G. Valli, P. Prati, Xavier Querol, Federico Mazzei, Fúlvio Amato and A. D’Alessandro. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Atmospheric Environment, The Science of The Total Environment, Atmospheric chemistry and physics 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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