S. Mogo

1.9k citations
25 papers · 299 · h-index 9

Impact in

Papers in

S. Mogo

22 papers receiving 292 citations

Peers

S. Mogo
Comparison fields: 5 of 55
  • Atmospheric Science 232
  • Global and Planetary Change 199
  • Health, Toxicology and Mutagenesis 92
  • Environmental Engineering 25
  • Radiological and Ultrasound Technology 8
Replace Christos Keleshis with:
Christos Keleshis United States
C. C. Schmidt United States
Camelia Talianu Romania
Chelsea A. Corr United States
Yisong Xie China
P. Beckman United States
Jungbin Mok United States
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S. Mogo relative to Christos Keleshis United States Christos Keleshis's profile →
Citations per field
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Citations per year

Countries citing papers authored by S. Mogo

Since Specialization
Citations

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

Fields of papers citing papers by S. Mogo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200886
2 201130
3 200727
4 200526
5 200515
6 200912
7 201110
8 201210
9 202110
10 20218
11 20128
12 20118
13 20217
14 20127
15 20127
16 20236
17 20205
18
Optical properties of tropospheric aerosols derived from lidar and sun photometer measurements at ALOMAR (69N) in 2005 and 2006
20083
19
Characterization of a Saharan Dust Event during VELETA-2002 (spain) Campaign
20043
20 20163

About S. Mogo

S. Mogo is a scholar working on Atmospheric Science, Global and Planetary Change, Health, Toxicology and Mutagenesis, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 25 papers that have together received 299 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (18 papers), Atmospheric aerosols and clouds (14 papers), Atmospheric Ozone and Climate (11 papers), Air Quality and Health Impacts (8 papers), Atmospheric and Environmental Gas Dynamics (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Robotics and Sensor-Based Localization (2 papers) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Atmospheric Science (232 citations), Global and Planetary Change (199 citations), Health, Toxicology and Mutagenesis (92 citations), Environmental Engineering (25 citations) and Radiological and Ultrasound Technology (8 citations). S. Mogo has collaborated with scholars based in Portugal, Spain and United States. Frequent co-authors include Victoria E. Cachorro, M. Sorribas, Natalia Prats, A. Berjón, Carlos Toledano, Benjamín Torres, Jesús de la Rosa, B. A. de la Morena, Luı́s A. Alexandre and N. S. Laulainen. Their work appears in journals such as Atmospheric chemistry and physics, Environmental Science Processes & Impacts, Journal of Personalized Medicine, Journal of Environmental Management and Atmospheric Environment.

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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