C. N. Long
Impact in
- Global and Planetary Change top 5%
- Atmospheric aerosols and clouds
- Climate variability and models
- Atmospheric Science top 5%
- Atmospheric chemistry and aerosols
- Meteorological Phenomena and Simulations
- Atmospheric Ozone and Climate
Papers in
-
- Atmospheric aerosols and clouds 6
- Climate variability and models 2
- Atmospheric and Environmental Gas Dynamics 1
-
- Meteorological Phenomena and Simulations 3
- Atmospheric chemistry and aerosols 3
- Co-authors
- Josep CalbóJeff SabburgD. PagèsYi WangL. Ruby LeungEllsworth G DuttonMartin WildJimy Dudhia
- Journals
- Remote Sensing (1 paper)Journal of Atmospheric and Oceanic Technology (1 paper)Journal of Geophysical Research Atmospheres (1 paper)Animals (1 paper)Atmospheric measurement techniques (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
C. N. Long
9 papers receiving 705 citations
Peers
Comparison fields: 5 of 64
- Global and Planetary Change 414
- Atmospheric Science 285
- Media Technology 81
- Artificial Intelligence 289
- Renewable Energy, Sustainability and the Environment 104
Countries citing papers authored by C. N. Long
This map shows the geographic impact of C. N. Long'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 C. N. Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. N. Long more than expected).
Fields of papers citing papers by C. N. Long
This network shows the impact of papers produced by C. N. Long. 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 C. N. Long. The network helps show where C. N. Long may publish in the future.
Co-authorship network
The 25 scholars most cited alongside C. N. Long, 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2012 | 68 | |
| 4 | 2011 | 134 | |
| 5 | 2009 | 177 | |
| 6 | 2008 | 27 | |
| 7 | 2006 | 322 | |
| 8 | Techniques and Methods Used to Determine the Best Estimate of Total Downwelling Shortwave Radiation | 2004 | 1 |
| 9 | Nauru Island Effect Study – Installation and Preliminary Data | 2002 | 2 |
About C. N. Long
C. N. Long is a scholar working on Global and Planetary Change, Atmospheric Science, Earth-Surface Processes, Agronomy and Crop Science and Building and Construction, having authored 9 papers that have together received 734 indexed citations. Recurring topics across this work include Atmospheric aerosols and clouds (6 papers), Meteorological Phenomena and Simulations (3 papers), Atmospheric chemistry and aerosols (3 papers), Climate variability and models (2 papers), Reproductive Physiology in Livestock (1 paper), Automated Road and Building Extraction (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Atmospheric and Environmental Gas Dynamics (1 paper). The work is most often cited by research in Global and Planetary Change (414 citations), Atmospheric Science (285 citations), Media Technology (81 citations), Artificial Intelligence (289 citations) and Renewable Energy, Sustainability and the Environment (104 citations). C. N. Long has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Josep Calbó, Jeff Sabburg, D. Pagès, Yi Wang, L. Ruby Leung, Ellsworth G Dutton, Martin Wild, Jimy Dudhia, A. Ohmura and S. A. McFarlane. Their work appears in journals such as Remote Sensing, Journal of Atmospheric and Oceanic Technology, Journal of Geophysical Research Atmospheres, Animals and Atmospheric measurement techniques.
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.