S. Vay

2.1k citations
19 papers · 1.5k · h-index 15

Impact in

Papers in

S. Vay

19 papers receiving 1.4k citations

Peers

S. Vay
Comparison fields: 5 of 60
  • Atmospheric Science 1.2k
  • Global and Planetary Change 957
  • Health, Toxicology and Mutagenesis 425
  • Spectroscopy 116
  • Environmental Engineering 89
Replace Q. Kleipool with:
Q. Kleipool Netherlands
James Marti United States
Marko Vana Estonia
H. Boudries United States
Ryan Thalman United States
Uwe Parchatka Germany
David L. Bones United Kingdom
S. G. Donnelly United States
David Brus Finland
M. J. Alvarado United States
S. Vay relative to Q. Kleipool Netherlands Q. Kleipool's profile →
Citations per field
00.5×1.7×
Q. Kleipool · 1×
Citations per year

Countries citing papers authored by S. Vay

Since Specialization
Citations

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

Fields of papers citing papers by S. Vay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2000228
2 2011198
3 2004185
4 2003146
5 2004141
6 201181
7 201269
8 200364
9 200056
10 199956
11 200153
12 200048
13 200844
14 200043
15 199825
16 20029
17 20086
18 20074
19
Observations of PANs on Board the NASA P-3 During TRACE-P
20022

About S. Vay

S. Vay is a scholar working on Atmospheric Science, Global and Planetary Change, Health, Toxicology and Mutagenesis, Automotive Engineering and Astronomy and Astrophysics, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (16 papers), Atmospheric Ozone and Climate (12 papers), Atmospheric and Environmental Gas Dynamics (10 papers), Atmospheric aerosols and clouds (6 papers), Air Quality and Health Impacts (6 papers), Mercury impact and mitigation studies (2 papers), Spectroscopy and Laser Applications (1 paper) and Vehicle emissions and performance (1 paper). The work is most often cited by research in Atmospheric Science (1.2k citations), Global and Planetary Change (957 citations), Health, Toxicology and Mutagenesis (425 citations), Spectroscopy (116 citations) and Environmental Engineering (89 citations). S. Vay has collaborated with scholars based in United States, Japan and Austria. Frequent co-authors include G. W. Sachse, D. R. Blake, Henry E. Fuelberg, Robert M. Yantosca, N. J. Blake, Daniel J. Jacob, W. H. Brune, J. Snow, H. B. Singh and E. Atlas. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Atmospheric chemistry and physics, Geophysical Research Letters, Atmospheric Environment and AGU Fall Meeting Abstracts.

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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