E. J. Hyer
- Atmospheric Science top 0.5%
- Atmospheric chemistry and aerosols 73
- Atmospheric Ozone and Climate 29
- Meteorological Phenomena and Simulations 7
- Global and Planetary Change top 0.2%
- Atmospheric aerosols and clouds 58
- Atmospheric and Environmental Gas Dynamics 48
- Fire effects on ecosystems 34
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- Air Quality and Health Impacts 4
- Environmental Engineering top 2%
- Ecology top 5%
- Remote Sensing in Agriculture 7
E. J. Hyer
99 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 97
- Atmospheric Science 4.0k
- Global and Planetary Change 4.5k
- Health, Toxicology and Mutagenesis 594
- Environmental Engineering 464
- Ecology 505
Countries citing papers authored by E. J. Hyer
This map shows the geographic impact of E. J. Hyer'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 E. J. Hyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. J. Hyer more than expected).
Fields of papers citing papers by E. J. Hyer
This network shows the impact of papers produced by E. J. Hyer. 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 E. J. Hyer. The network helps show where E. J. Hyer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside E. J. Hyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 27 | |
| 7 | 2021 | 2 | |
| 8 | 2020 | 15 | |
| 9 | 2020 | 16 | |
| 10 | Meteorology Influencing Springtime Air Quality and Pollution Transport in Korea | 2018 | 0 |
| 11 | From OLS to VIIRS, an overview of nighttime satellite aerosol retrievals using artificial light sources | 2015 | 1 |
| 12 | 2015 | 1 | |
| 13 | Aerosol Optical Thickness Patterns and their Trend in the Southeastern United States | 2013 | 1 |
| 14 | Impact of Data Quality and Surface-to-Column Representativeness on the PM2.5/Satellite AOD Relationship for the Continental United States | 2013 | 4 |
| 15 | Mesoscale modeling of smoke transport over the South Asian maritime continent: vertical distributions and topographic effect | 2011 | 2 |
| 16 | Sub-Pixel Fractional Area of Wildfires from MODIS Observations: Retrieval, Validation, and Potential Applications | 2010 | 1 |
| 17 | Relating Precipitation Phenomena with MODIS Detected Hot Spots in the Maritime Continent | 2009 | 3 |
| 18 | Satellite, climatological, and theoretical inputs for modeling of the diurnal cycle of fire emissions | 2009 | 1 |
| 19 | Application of Multi-Sensor Fusion to the Aerosol Forecasting Problem | 2007 | 1 |
| 20 | Near real time aerosol data assimilation using a new over ocean MODIS level 3 aerosol product | 2006 | 1 |
About E. J. Hyer
E. J. Hyer is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering, having authored 104 papers that have together received 5.2k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (73 papers), Atmospheric aerosols and clouds (58 papers), Atmospheric and Environmental Gas Dynamics (48 papers), Fire effects on ecosystems (34 papers), Atmospheric Ozone and Climate (29 papers), Remote Sensing in Agriculture (7 papers), Meteorological Phenomena and Simulations (7 papers) and Air Quality and Health Impacts (4 papers). The work is most often cited by research in Atmospheric Science (4.0k citations), Global and Planetary Change (4.5k citations) and Health, Toxicology and Mutagenesis (594 citations). E. J. Hyer has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Jeffrey S. Reid, Jianglong Zhang, David A. Peterson, James R. Campbell, Douglas L. Westphal, Jun Wang, Yingxi Shi, Eric S. Kasischke, Michael Fromm and S. J. Goetz.
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.