Pablo E. Saide

5.3k citations
61 papers · 2.3k indexed · h-index 25

Pablo E. Saide

56 papers receiving 2.3k citations

Peers

Pablo E. Saide
Comparison fields: 5 of 80
  • Atmospheric Science 1.9k
  • Health, Toxicology and Mutagenesis 1.1k
  • Global and Planetary Change 1.5k
  • Environmental Engineering 591
  • Automotive Engineering 217
Replace Tianliang Zhao with:
Tianliang Zhao China
Junting Zhong China
Rainer Schmitz Chile
Xuejiao Deng China
Bingliang Zhuang China
Frédérik Meleux France
Naifang Bei China
X. Y. Zhang China
Sylvain Mailler France
Pablo E. Saide relative to Tianliang Zhao China Tianliang Zhao's profile →
Citations per field
00.5×5.5×
Tianliang Zhao · 1×
Citations per year

Countries citing papers authored by Pablo E. Saide

Since Specialization
Citations

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

Fields of papers citing papers by Pablo E. Saide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo E. Saide. 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 Pablo E. Saide. The network helps show where Pablo E. Saide may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20250
4 20245
5 20247
6 20237
7 20232
8 20237
9 202216
10 202215
11 202123
12 202112
13 20201
14 201921
15
On the evaluation of air quality forecasts during the ORACLES campaign
20181
16
A high-resolution coupled meteorology-smoke modeling system HRRR-Smoke to simulate air quality over the CONUS domain in real time
20177
17 201419
18 201427
19 201334
20
Characterizing anthropogenic sources of pollution and their influence on regional air quality and meteorology during the VOCALS-REX experiment
20101

About Pablo E. Saide

Pablo E. Saide is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis, having authored 61 papers that have together received 2.3k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (47 papers), Atmospheric aerosols and clouds (34 papers), Air Quality and Health Impacts (22 papers), Atmospheric Ozone and Climate (19 papers), Atmospheric and Environmental Gas Dynamics (14 papers), Fire effects on ecosystems (14 papers), Air Quality Monitoring and Forecasting (7 papers) and Meteorological Phenomena and Simulations (7 papers). The work is most often cited by research in Atmospheric Science (1.9k citations), Health, Toxicology and Mutagenesis (1.1k citations) and Global and Planetary Change (1.5k citations). Pablo E. Saide has collaborated with scholars based in United States, China and Chile. Frequent co-authors include Gregory R. Carmichael, Meng Gao, Man Yu, Scott N. Spak, Marcelo Mena‐Carrasco, Mariusz Pagowski, Axel Osses, Laura Gallardo, Sarath Guttikunda and Zirui Liu. Their work appears in journals such as Atmospheric chemistry and physics, Journal of Geophysical Research Atmospheres, Atmospheric measurement techniques, Atmospheric Environment and Environmental Science & Technology.

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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